Marvin Lin

800 total citations
19 papers, 652 citations indexed

About

Marvin Lin is a scholar working on Immunology, Genetics and Surgery. According to data from OpenAlex, Marvin Lin has authored 19 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 6 papers in Genetics and 4 papers in Surgery. Recurrent topics in Marvin Lin's work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers) and Diabetes and associated disorders (5 papers). Marvin Lin is often cited by papers focused on Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers) and Diabetes and associated disorders (5 papers). Marvin Lin collaborates with scholars based in United States, Germany and Switzerland. Marvin Lin's co-authors include Barbara Murphy, Bernd Schröppel, Sydney Tang, Peter S. Heeger, Jonathan S. Bromberg, Michael Fischereder, Bernhard K. Krämer, Bernd Krüger, Stefanie Krick and Robert B. Colvin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

Marvin Lin

18 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marvin Lin United States 11 353 196 111 96 95 19 652
Marie‐France Belair France 14 198 0.6× 130 0.7× 87 0.8× 174 1.8× 34 0.4× 19 716
Joshua Yang United States 15 150 0.4× 273 1.4× 244 2.2× 174 1.8× 66 0.7× 49 829
Vido Ramassar Canada 14 334 0.9× 303 1.5× 341 3.1× 127 1.3× 30 0.3× 19 871
Dameng Lian Canada 15 378 1.1× 143 0.7× 67 0.6× 260 2.7× 26 0.3× 21 724
Alana A. Shigeoka United States 9 359 1.0× 123 0.6× 29 0.3× 280 2.9× 18 0.2× 12 662
Mario Vilatobá Mexico 17 128 0.4× 642 3.3× 339 3.1× 169 1.8× 142 1.5× 59 1.1k
Wendy M. Mol Netherlands 16 380 1.1× 219 1.1× 269 2.4× 132 1.4× 40 0.4× 29 764
Daiki Iwami Japan 16 280 0.8× 136 0.7× 128 1.2× 111 1.2× 28 0.3× 67 690
Kathrin Hochegger Austria 12 222 0.6× 65 0.3× 36 0.3× 130 1.4× 35 0.4× 20 505
Guolan Xing China 14 272 0.8× 71 0.4× 81 0.7× 161 1.7× 49 0.5× 32 706

Countries citing papers authored by Marvin Lin

Since Specialization
Citations

This map shows the geographic impact of Marvin Lin'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 Marvin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marvin Lin more than expected).

Fields of papers citing papers by Marvin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marvin Lin. 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 Marvin Lin. The network helps show where Marvin Lin may publish in the future.

Co-authorship network of co-authors of Marvin Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Marvin Lin. A scholar is included among the top collaborators of Marvin Lin 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 Marvin Lin. Marvin Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Lin, Marvin, et al.. (2025). Evaluating ChatGPT’s Concordance with Clinical Guidelines of Ménière’s Disease in Chinese. Diagnostics. 15(16). 2006–2006.
2.
Li, Lily, Marvin Lin, Brian Radbill, et al.. (2014). Effect of Cholecalciferol Supplementation on Inflammation and Cellular Alloimmunity in Hemodialysis Patients: Data from a Randomized Controlled Pilot Trial. PLoS ONE. 9(10). e109998–e109998. 14 indexed citations
3.
Ashoor, Isa, Nader Najafian, Yael Korin, et al.. (2013). Standardization and Cross Validation of Alloreactive IFNγ ELISPOT Assays Within the Clinical Trials in Organ Transplantation Consortium. American Journal of Transplantation. 13(7). 1871–1879. 46 indexed citations
4.
Lin, Marvin & Sydney Tang. (2013). Toll-like receptors: sensing and reacting to diabetic injury in the kidney. Nephrology Dialysis Transplantation. 29(4). 746–754. 67 indexed citations
5.
Weinstein, Daniel C., et al.. (2013). Characterization Of Bone Marrow Derived CD34+ Cells With Different Mobility Potentials By Micro RNA Fingerprinting. Blood. 122(21). 4844–4844. 1 indexed citations
6.
Lal, Girdhari, Na Yin, Jiangnan Xu, et al.. (2011). Distinct Inflammatory Signals Have Physiologically Divergent Effects on Epigenetic Regulation of Foxp3 Expression and Treg Function. American Journal of Transplantation. 11(2). 203–214. 46 indexed citations
7.
Juang, Jyuhn‐Huarng, Chia‐Rui Shen, Jiun‐Jie Wang, et al.. (2010). Magnetic Resonance Imaging Study of Mouse Islet Allotransplantation. Transplantation Proceedings. 42(10). 4217–4220. 10 indexed citations
8.
Lin, Marvin, Na Yin, Barbara Murphy, et al.. (2010). Immune Cell–Derived C3 Is Required for Autoimmune Diabetes Induced by Multiple Low Doses of Streptozotocin. Diabetes. 59(9). 2247–2252. 46 indexed citations
9.
10.
11.
Krüger, Bernd, Stefanie Krick, Navdeep Dhillon, et al.. (2009). Donor Toll-like receptor 4 contributes to ischemia and reperfusion injury following human kidney transplantation. Proceedings of the National Academy of Sciences. 106(9). 3390–3395. 276 indexed citations
12.
Casares, Sofía, Marvin Lin, Nan Zhang, et al.. (2008). A Peptide-Major Histocompatibility Complex II Chimera Favors Survival of Pancreatic β-Ιslets Grafted in Type 1 Diabetic Mice. Transplantation. 85(12). 1717–1725. 5 indexed citations
13.
Lin, Marvin, Nan Zhang, Bernd Krüger, et al.. (2008). Inhibition of the Alloimmune Response through the Generation of Regulatory T Cells by a MHC Class II-Derived Peptide. The Journal of Immunology. 181(11). 7499–7506. 10 indexed citations
14.
Lin, Marvin, et al.. (2005). MHC Class II–Mediated Apoptosis by a Nonpolymorphic MHC Class II Peptide Proceeds by Activation of Protein Kinase C. Journal of the American Society of Nephrology. 16(12). 3661–3668. 8 indexed citations
15.
McEvoy, Robert C., et al.. (2005). Soluble, dimeric HLA DR4‐peptide chimeras: An approach for detection and immunoregulation of human type‐1 diabetes. European Journal of Immunology. 35(9). 2762–2775. 18 indexed citations
16.
Marder, Brad A., Bernd Schröppel, Marvin Lin, et al.. (2003). The Impact of Costimulatory Molecule Gene Polymorphisms on Clinical Outcomes in Liver Transplantation. American Journal of Transplantation. 3(4). 424–431. 34 indexed citations
17.
Murphy, Barbara, Joyce E. Yu, Qingsheng Jiao, et al.. (2003). A Novel Mechanism for the Immunomodulatory Functions of Class II MHC–Derived Peptides. Journal of the American Society of Nephrology. 14(4). 1053–1065. 8 indexed citations
18.
Schröppel, Bernd, Michael Fischereder, Marvin Lin, et al.. (2002). The Impact of Polymorphisms in Chemokine and Chemokine Receptors on Outcomes in Liver Transplantation. American Journal of Transplantation. 2(7). 640–645. 29 indexed citations
19.
Schröppel, Bernd, Michael Fischereder, Marvin Lin, et al.. (2002). Analysis of Gene Polymorphisms in the Regulatory Region of MCP-1, RANTES, and CCR5 in Liver Transplant Recipients. Journal of Clinical Immunology. 22(6). 381–385. 15 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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