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Cited by in F6Publishing
For: Wang Y, Shao T, Wang J, Huang X, Deng X, Cao Y, Zhou M, Zhao C. An update on potential biomarkers for diagnosing diabetic foot ulcer at early stage. Biomed Pharmacother 2021;133:110991. [PMID: 33227713 DOI: 10.1016/j.biopha.2020.110991] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Huang Q, Wu T, Guo Y, Wang L, Yu X, Zhu B, Fan L, Xin JH, Yu H. Platelet-rich plasma-loaded bioactive chitosan@sodium alginate@gelatin shell-core fibrous hydrogels with enhanced sustained release of growth factors for diabetic foot ulcer healing. Int J Biol Macromol 2023;234:123722. [PMID: 36801280 DOI: 10.1016/j.ijbiomac.2023.123722] [Reference Citation Analysis]
2 Raghavan JV, Jhunjhunwala S. Role of Innate Immune Cells in Chronic Diabetic Wounds. J Indian Inst Sci 2023. [DOI: 10.1007/s41745-022-00355-4] [Reference Citation Analysis]
3 Li Y, Ju S, Li X, Li W, Zhou S, Wang G, Cai Y, Dong Z. Characterization of the microenvironment of diabetic foot ulcers and potential drug identification based on scRNA-seq. Front Endocrinol (Lausanne) 2022;13:997880. [PMID: 36686438 DOI: 10.3389/fendo.2022.997880] [Reference Citation Analysis]
4 Dadfar R, Khorsandi L, Goujani R, Mousavi SF, Aslani Z. Therapeutic Utilization of Zinc Supplementation Concurrent with Ozone Therapy Ameliorates Diabetic Foot Ulcer and Attenuates Serum Level of C-reactive Protein- A Case Report Study. Adv Biomed Res 2023;12:18. [PMID: 36926441 DOI: 10.4103/abr.abr_11_22] [Reference Citation Analysis]
5 Qi F, Huang H, Cai Y, Fu Z. Adjacent Fu's subcutaneous needling as an adjunctive healing strategy for diabetic foot ulcers: Two case reports. Medicine (Baltimore) 2022;101:e32271. [PMID: 36550916 DOI: 10.1097/MD.0000000000032271] [Reference Citation Analysis]
6 Ghareghani O, Ghareghani S, Takhshid MA. Diagnostic values of ischemia modified albumin in diabetes-related complications: a narrative review. J Diabetes Metab Disord 2022. [DOI: 10.1007/s40200-022-01152-7] [Reference Citation Analysis]
7 Albiero M, Fullin A, Villano G, Biasiolo A, Quarta S, Bernardotto S, Turato C, Ruvoletto M, Fadini GP, Pontisso P, Morpurgo M. Semisolid Wet Sol–Gel Silica/Hydroxypropyl Methyl Cellulose Formulation for Slow Release of Serpin B3 Promotes Wound Healing In Vivo. Pharmaceutics 2022;14:1944. [DOI: 10.3390/pharmaceutics14091944] [Reference Citation Analysis]
8 Wu F, Liang P. Application of Metabolomics in Various Types of Diabetes. Diabetes Metab Syndr Obes 2022;15:2051-9. [PMID: 35860310 DOI: 10.2147/DMSO.S370158] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
9 Wang C, Yu X, Sui Y, Zhu J, Zhang B, Su Y, Pallikonda Rajasekaran M. Magnetic Resonance Imaging Data Features to Evaluate the Efficacy of Compound Skin Graft for Diabetic Foot. Contrast Media & Molecular Imaging 2022;2022:1-9. [DOI: 10.1155/2022/5707231] [Reference Citation Analysis]
10 Kandregula B, Narisepalli S, Chitkara D, Mittal A. Exploration of Lipid-Based Nanocarriers as Drug Delivery Systems in Diabetic Foot Ulcer. Mol Pharm 2022. [PMID: 35481377 DOI: 10.1021/acs.molpharmaceut.1c00970] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
11 Zhang D, Dong W, Guan H, Yakupu A, Wang H, Chen L, Lu S, Tang J. CT-Angiography-Based Outcome Prediction on Diabetic Foot Ulcer Patients: A Statistical Learning Approach. Diagnostics 2022;12:1076. [DOI: 10.3390/diagnostics12051076] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Rong Y, Yang H, Xu H, Li S, Wang P, Wang Z, Zhang Y, Zhu W, Tang B, Zhu J, Hu Z. Bioinformatic Analysis Reveals Hub Immune-Related Genes of Diabetic Foot Ulcers. Front Surg 2022;9:878965. [DOI: 10.3389/fsurg.2022.878965] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
13 Rai M, Maity T, Sharma R, Yadav RK. Early detection of foot ulceration in type II diabetic patient using registration method in infrared images and descriptive comparison with deep learning methods. J Supercomput. [DOI: 10.1007/s11227-022-04380-z] [Reference Citation Analysis]
14 Venkatesan C, Sumithra MG, Murugappan M. NFU-Net: An Automated Framework for the Detection of Neurotrophic Foot Ulcer Using Deep Convolutional Neural Network. Neural Process Lett. [DOI: 10.1007/s11063-022-10782-0] [Reference Citation Analysis]
15 Wang S, Hou Y, Li X, Meng X, Zhang Y, Wang X. Practical Implementation of Artificial Intelligence-Based Deep Learning and Cloud Computing on the Application of Traditional Medicine and Western Medicine in the Diagnosis and Treatment of Rheumatoid Arthritis. Front Pharmacol 2021;12:765435. [PMID: 35002704 DOI: 10.3389/fphar.2021.765435] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
16 Vardasca R, Martinho D. Towards an Effective Decision Support System for Diabetic Foot Ulcers Diagnostic and Treatment Assessment. Proceedings of Sixth International Congress on Information and Communication Technology 2022. [DOI: 10.1007/978-981-16-1781-2_29] [Reference Citation Analysis]
17 Sheng Q, Li G, Liu H, Liu P. Clinical evidence for elevated levels of caveolin-1 in circulation of patients with diabetic foot ulcers. Wound Repair Regen 2022;30:107-16. [PMID: 34847261 DOI: 10.1111/wrr.12983] [Reference Citation Analysis]