Jamie S. Lin

2.8k total citations · 1 hit paper
35 papers, 2.0k citations indexed

About

Jamie S. Lin is a scholar working on Oncology, Nephrology and Molecular Biology. According to data from OpenAlex, Jamie S. Lin has authored 35 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 13 papers in Nephrology and 10 papers in Molecular Biology. Recurrent topics in Jamie S. Lin's work include Renal Diseases and Glomerulopathies (11 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Renal cell carcinoma treatment (4 papers). Jamie S. Lin is often cited by papers focused on Renal Diseases and Glomerulopathies (11 papers), Cancer Immunotherapy and Biomarkers (10 papers) and Renal cell carcinoma treatment (4 papers). Jamie S. Lin collaborates with scholars based in United States, Egypt and Australia. Jamie S. Lin's co-authors include Carol S. Trempus, Yaping Liu, Shulan Li, George Cotsarelis, Zaixin Yang, Janet A. Sawicki, Rebecca Morris, Katalin Suszták, Cassian Yee and Ala Abudayyeh and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jamie S. Lin

31 papers receiving 1.9k citations

Hit Papers

Capturing and profiling adult hair follicle stem cells 2004 2026 2011 2018 2004 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie S. Lin United States 15 743 634 527 399 296 35 2.0k
Ivana Fantozzi United States 11 896 1.2× 106 0.2× 271 0.5× 165 0.4× 103 0.3× 12 2.2k
Katrin Palumbo‐Zerr Germany 25 903 1.2× 33 0.1× 177 0.3× 111 0.3× 285 1.0× 35 2.0k
Christian Sundberg Sweden 21 1.5k 2.0× 29 0.0× 762 1.4× 247 0.6× 69 0.2× 28 2.6k
Andrew Beenken United States 9 1.6k 2.1× 54 0.1× 164 0.3× 419 1.1× 23 0.1× 11 2.0k
Lorin E. Olson United States 19 833 1.1× 31 0.0× 172 0.3× 118 0.3× 46 0.2× 31 1.6k
Fumiko Itoh Japan 26 2.2k 2.9× 63 0.1× 559 1.1× 246 0.6× 11 0.0× 56 3.0k
Yasuhiro Yoshimatsu Japan 20 1.1k 1.4× 33 0.1× 630 1.2× 177 0.4× 37 0.1× 32 1.7k
Jixing Ye China 10 765 1.0× 124 0.2× 168 0.3× 137 0.3× 20 0.1× 17 1.4k
Céline Charrier France 28 990 1.3× 30 0.0× 783 1.5× 63 0.2× 127 0.4× 66 2.4k
Natalia Kalinina Russia 22 925 1.2× 80 0.1× 188 0.4× 63 0.2× 22 0.1× 62 2.3k

Countries citing papers authored by Jamie S. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jamie S. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie S. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie S. Lin. A scholar is included among the top collaborators of Jamie S. 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 Jamie S. Lin. Jamie S. Lin 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
1.
Long, James P., Shailbala Singh, Yanlan Dong, Cassian Yee, & Jamie S. Lin. (2025). Urine proteomics defines an immune checkpoint-associated nephritis signature. Journal for ImmunoTherapy of Cancer. 13(1). e010680–e010680. 3 indexed citations
2.
Lin, Jamie S., James P. Long, Shailbala Singh, Yanlan Dong, & Cassian Yee. (2024). Association of Novel Urine Biomarkers with Immune Checkpoint Inhibitor Nephrotoxicity. Journal of the American Society of Nephrology. 35(10S).
3.
Yee, Cassian, et al.. (2024). Highly Reusable Electrochemical Immunosensor for Ultrasensitive Protein Detection. SHILAP Revista de lepidopterología. 3(9). 6 indexed citations
4.
Palaskas, Nicolas L., Bilal A. Siddiqui, Jennifer L. McQuade, et al.. (2024). Development of a Strategic Initiative at MD Anderson Cancer Center to Improve Outcomes in Immune-Related Adverse Events. Journal of the National Comprehensive Cancer Network. 22(5). 2 indexed citations
5.
6.
Singh, Shailbala, James P. Long, Amanda Tchakarov, et al.. (2022). Tertiary lymphoid structure signatures are associated with immune checkpoint inhibitor related acute interstitial nephritis. JCI Insight. 25 indexed citations
7.
Msaouel, Pavlos, et al.. (2021). Treatment of PLA2R-Negative Membranous Nephropathy in the Setting of Immune Checkpoint Inhibitor and Renal Cell Carcinoma. Journal of the American Society of Nephrology. 32(10S). 575–575.
8.
Lin, Jamie S., Nicolas L. Palaskas, Omar Mamlouk, et al.. (2020). Immune Checkpoint Inhibitor-Induced Renal and Cardiac Sarcoidosis. Journal of the American Society of Nephrology. 31(10S). 849–849.
9.
Mamlouk, Omar, Jamie S. Lin, Maen Abdelrahim, et al.. (2020). Checkpoint Inhibitor-Related Renal Vasculitis and Use of Rituximab. Journal of the American Society of Nephrology. 31(10S). 662–662. 2 indexed citations
10.
Lin, Jamie S., et al.. (2020). Immune Checkpoint Inhibitor-Induced p-ANCA Multiorgan Vasculitis. Journal of the American Society of Nephrology. 31(10S). 669–669.
11.
Mamlouk, Omar, Umut Selamet, Maen Abdelrahim, et al.. (2019). Nephrotoxicity of immune checkpoint inhibitors beyond tubulointerstitial nephritis: single-center experience. Journal for ImmunoTherapy of Cancer. 7(1). 2–2. 199 indexed citations
12.
Galvan, Daniel L., Jianyin Long, Benny Hung‐Junn Chang, et al.. (2019). Drp1S600 phosphorylation regulates mitochondrial fission and progression of nephropathy in diabetic mice. Journal of Clinical Investigation. 129(7). 2807–2823. 70 indexed citations
13.
Ingersoll, Matthew A., Jamie S. Lin, Ta‐Chun Yuan, et al.. (2018). p66Shc regulates migration of castration-resistant prostate cancer cells. Cellular Signalling. 46. 1–14. 19 indexed citations
14.
Lin, Jamie S., Jin Seok Jeon, Qingfeng Fan, et al.. (2017). ARF6 mediates nephrin tyrosine phosphorylation-induced podocyte cellular dynamics. PLoS ONE. 12(9). e0184575–e0184575. 10 indexed citations
15.
Lin, Jamie S. & Katalin Suszták. (2016). Podocytes: the Weakest Link in Diabetic Kidney Disease?. Current Diabetes Reports. 16(5). 45–45. 146 indexed citations
16.
Geevasinga, Nimeshan, Catherine Cole, Geoffrey Herkes, et al.. (2014). Sickle cell disease and posterior reversible leukoencephalopathy. Journal of Clinical Neuroscience. 21(8). 1329–1332. 12 indexed citations
17.
Veeramani, Suresh, Tsukasa Igawa, Ta‐Chun Yuan, et al.. (2005). Expression of p66Shc protein correlates with proliferation of human prostate cancer cells. Oncogene. 24(48). 7203–7212. 51 indexed citations
18.
Morris, Rebecca, Yaping Liu, Zaixin Yang, et al.. (2004). Capturing and profiling adult hair follicle stem cells. Nature Biotechnology. 22(4). 411–417. 1004 indexed citations breakdown →
19.
Sandlund, John T., CH Pui, H Mahmoud, et al.. (1994). Clinical features and treatment outcome for children with CD30+ large-cell non-Hodgkin's lymphoma.. Journal of Clinical Oncology. 12(5). 895–898. 84 indexed citations
20.
Sandlund, John T., Raul C. Ribeiro, Jamie S. Lin, et al.. (1994). Factors contributing to the prognostic significance of bone marrow involvement in childhood non‐Hodgkin lymphoma. Medical and Pediatric Oncology. 23(4). 350–353. 6 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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