Mohd Yasir Khan

561 total citations
27 papers, 423 citations indexed

About

Mohd Yasir Khan is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Mohd Yasir Khan has authored 27 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Clinical Biochemistry, 12 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Molecular Biology. Recurrent topics in Mohd Yasir Khan's work include Advanced Glycation End Products research (14 papers), Natural Antidiabetic Agents Studies (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Mohd Yasir Khan is often cited by papers focused on Advanced Glycation End Products research (14 papers), Natural Antidiabetic Agents Studies (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers). Mohd Yasir Khan collaborates with scholars based in India, Saudi Arabia and United States. Mohd Yasir Khan's co-authors include Saheem Ahmad, Shahnawaz Rehman, Uzma Shahab, Hamda Khan, Zeba Siddiqui, Sultan Alouffi, Vladimir N. Silnikov, Moinuddin Moinuddin, Tatyana S. Godovikova and Zeeshan Rafi and has published in prestigious journals such as International Journal of Molecular Sciences, International Journal of Biological Macromolecules and BioMed Research International.

In The Last Decade

Mohd Yasir Khan

23 papers receiving 417 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mohd Yasir Khan India 9 248 161 146 45 38 27 423
Zeba Siddiqui India 9 207 0.8× 137 0.9× 155 1.1× 51 1.1× 41 1.1× 22 426
Shigemitsu Ueyama Japan 10 207 0.8× 58 0.4× 125 0.9× 85 1.9× 56 1.5× 15 446
Ravi Varatharajalu United States 10 111 0.4× 54 0.3× 94 0.6× 24 0.5× 81 2.1× 13 366
Jun Usami Japan 9 330 1.3× 134 0.8× 75 0.5× 125 2.8× 110 2.9× 20 490
Zechun Kang China 10 67 0.3× 30 0.2× 191 1.3× 50 1.1× 33 0.9× 12 453
Irena Marková Czechia 14 42 0.2× 152 0.9× 173 1.2× 107 2.4× 40 1.1× 57 514
Nagwa Ahmed Egypt 11 32 0.1× 85 0.5× 136 0.9× 64 1.4× 25 0.7× 27 464
Veronika Tillander Sweden 9 73 0.3× 126 0.8× 256 1.8× 187 4.2× 25 0.7× 16 558
Lorena Bellod Spain 12 29 0.1× 97 0.6× 168 1.2× 75 1.7× 21 0.6× 13 402
Jessica Patché France 10 38 0.2× 53 0.3× 92 0.6× 59 1.3× 19 0.5× 13 361

Countries citing papers authored by Mohd Yasir Khan

Since Specialization
Citations

This map shows the geographic impact of Mohd Yasir Khan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohd Yasir Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohd Yasir Khan more than expected).

Fields of papers citing papers by Mohd Yasir Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohd Yasir Khan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohd Yasir Khan. The network helps show where Mohd Yasir Khan may publish in the future.

Co-authorship network of co-authors of Mohd Yasir Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Yasir Khan. A scholar is included among the top collaborators of Mohd Yasir Khan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mohd Yasir Khan. Mohd Yasir Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Khan, Saif, et al.. (2024). Artificial intelligence derived categorizations significantly improve HOMA IR/β indicators: Combating diabetes through cross-interacting drugs. Computers in Biology and Medicine. 179. 108848–108848. 3 indexed citations
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Khan, Mohd Yasir, et al.. (2024). WGCNA and integrative network analysis identify CHRNA5 and CTLA4 as potential therapeutic targets against angiosarcoma. Cancer Treatment and Research Communications. 42. 100862–100862.
6.
Khan, Hamda, Zeeshan Rafi, Mohd Yasir Khan, et al.. (2024). Epigenetic contributions to cancer: Exploring the role of glycation reactions. International review of cell and molecular biology. 387. 143–193.
7.
Rafi, Zeeshan, Salman Khan, Subuhi Sherwani, et al.. (2024). Citrus sinensis Seed-Mediated Gold Nanoparticles for Combating Diabetes and Bacterial Infections: A Promising Multifunctional Nano Formulation. Science of Advanced Materials. 16(2). 260–270.
8.
Alouffi, Sultan, et al.. (2023). Antiglycation and chemopreventive effects of leaf extracts of Ficus palmata Forssk. found in the Hail region of Saudi Arabia. Biotechnology and Genetic Engineering Reviews. 40(3). 1–17. 2 indexed citations
9.
Khan, Mohd Yasir, Sultan Alouffi, Saif Khan, et al.. (2023). Identification of Glycoxidative Lesion in Isolated Low-Density Lipoproteins from Diabetes Mellitus Subjects. Life. 13(10). 1986–1986. 6 indexed citations
10.
Yusuf, Mohd Aslam, et al.. (2023). A Study on Multiple Facets of Apolipoprotein A1 Milano. Applied Biochemistry and Biotechnology. 195(7). 4653–4672. 1 indexed citations
11.
Ahmad, Saheem, Saheem Ahmad, Shahnawaz Rehman, et al.. (2022). Nonenzymatic glycosylation of isolated human immunoglobulin‐G by D‐ribose. Cell Biochemistry and Function. 40(5). 526–534. 11 indexed citations
12.
Ahmad, Saheem, Sahir Sultan Alvi, Saif Khan, et al.. (2022). Carvacrol protects against carbonyl osmolyte-induced structural modifications and aggregation to serum albumin: Insights from physicochemical and molecular interaction studies. International Journal of Biological Macromolecules. 213. 663–674. 10 indexed citations
13.
Ahmad, Saheem, Sultan Alouffi, Saif Khan, et al.. (2022). Physicochemical Characterization of In Vitro LDL Glycation and Its Inhibition by Ellagic Acid (EA): An In Vivo Approach to Inhibit Diabetes in Experimental Animals. BioMed Research International. 2022(1). 5583298–5583298. 19 indexed citations
14.
Ahmad, Saheem, Azharuddin Sajid Syed Khaja, Mubashir Zafar, et al.. (2022). Glycation of Immunoglobulin-G from Pentose Sugar: A Cause for StructuralPerturbations. Current Protein and Peptide Science. 23(11). 773–781. 5 indexed citations
15.
Khan, Mohd Yasir, et al.. (2020). Probing the Structure–Function relationship and amyloidogenic propensities in natural variants of apolipoprotein A-I. Biochemistry and Biophysics Reports. 24. 100815–100815. 6 indexed citations
16.
Khan, Mohd Yasir, Sultan Alouffi, Mohd Shahnawaz Khan, et al.. (2020). The neoepitopes on methylglyoxal (MG) glycated LDL create autoimmune response; autoimmunity detection in T2DM patients with varying disease duration. Cellular Immunology. 351. 104062–104062. 18 indexed citations
17.
Khan, Mohd Yasir, Sultan Alouffi, & Saheem Ahmad. (2018). Immunochemical studies on native and glycated LDL – An approach to uncover the structural perturbations. International Journal of Biological Macromolecules. 115. 287–299. 30 indexed citations
18.
Ahmad, Saheem, Mohd Yasir Khan, Zeeshan Rafi, et al.. (2017). Oxidation, glycation and glycoxidation—The vicious cycle and lung cancer. Seminars in Cancer Biology. 49. 29–36. 66 indexed citations
19.
Ahmad, Saheem, Hamda Khan, Zeba Siddiqui, et al.. (2017). AGEs, RAGEs and s-RAGE; friend or foe for cancer. Seminars in Cancer Biology. 49. 44–55. 159 indexed citations
20.
Sofi, Ghulamuddin, et al.. (2011). Hepatoprotective activity of Gumma (Leucas cephalotes Spreng.) against Carbon tetrachloride induced hepatotoxicity in wistar rats.. Europe PMC (PubMed Central). 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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