Leslie S. Gewin

2.3k total citations
44 papers, 1.7k citations indexed

About

Leslie S. Gewin is a scholar working on Molecular Biology, Nephrology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Leslie S. Gewin has authored 44 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 20 papers in Nephrology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Leslie S. Gewin's work include Chronic Kidney Disease and Diabetes (16 papers), Renal and related cancers (13 papers) and Dialysis and Renal Disease Management (6 papers). Leslie S. Gewin is often cited by papers focused on Chronic Kidney Disease and Diabetes (16 papers), Renal and related cancers (13 papers) and Dialysis and Renal Disease Management (6 papers). Leslie S. Gewin collaborates with scholars based in United States, Australia and Japan. Leslie S. Gewin's co-authors include Roy Zent, Ambra Pozzi, Raymond C. Harris, Stellor Nlandu Khodo, Reinhard Fässler, Ming‐Zhi Zhang, Haichun Yang, Yinqiu Wang, Agnes B. Fogo and Glenda Mernaugh and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Leslie S. Gewin

43 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leslie S. Gewin United States 24 798 725 219 192 174 44 1.7k
Anna Żuk United States 16 665 0.8× 499 0.7× 162 0.7× 299 1.6× 201 1.2× 31 1.7k
Joan C. Krepinsky Canada 28 894 1.1× 543 0.7× 132 0.6× 267 1.4× 142 0.8× 68 1.9k
Sandrine Placier France 23 549 0.7× 492 0.7× 288 1.3× 222 1.2× 166 1.0× 53 1.8k
Angelique L. Rops Netherlands 26 664 0.8× 739 1.0× 120 0.5× 193 1.0× 302 1.7× 43 2.0k
Maki Urushihara Japan 29 590 0.7× 631 0.9× 206 0.9× 157 0.8× 519 3.0× 81 2.5k
Yufeng Huang United States 22 667 0.8× 482 0.7× 203 0.9× 280 1.5× 112 0.6× 57 2.0k
Hyun Soon Lee South Korea 25 494 0.6× 808 1.1× 174 0.8× 254 1.3× 202 1.2× 61 1.6k
Torsten Kirsch Germany 25 759 1.0× 450 0.6× 214 1.0× 234 1.2× 267 1.5× 41 1.9k
Zhanmei Zhou China 23 743 0.9× 609 0.8× 193 0.9× 132 0.7× 175 1.0× 46 1.6k
Shinya Kaname Japan 22 435 0.5× 460 0.6× 263 1.2× 211 1.1× 430 2.5× 94 1.6k

Countries citing papers authored by Leslie S. Gewin

Since Specialization
Citations

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

Fields of papers citing papers by Leslie S. Gewin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leslie S. Gewin

This figure shows the co-authorship network connecting the top 25 collaborators of Leslie S. Gewin. A scholar is included among the top collaborators of Leslie S. Gewin 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 Leslie S. Gewin. Leslie S. Gewin 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.
Kern, Justin, et al.. (2025). Assays to enhance metabolic phenotyping in the kidney. American Journal of Physiology-Renal Physiology. 328(4). F563–F577. 1 indexed citations
2.
Bugarski, Milica, Yasutaka Mitamura, Julia Gschwend, et al.. (2023). Intrinsic TGF-β signaling attenuates proximal tubule mitochondrial injury and inflammation in chronic kidney disease. Nature Communications. 14(1). 3236–3236. 35 indexed citations
3.
Gewin, Leslie S.. (2021). Sugar or Fat? Renal Tubular Metabolism Reviewed in Health and Disease. Nutrients. 13(5). 1580–1580. 68 indexed citations
4.
Bock, Fabian, Bertha C. Elias, Diptiben Parekh, et al.. (2021). Rac1 promotes kidney collecting duct integrity by limiting actomyosin activity. The Journal of Cell Biology. 220(11). 8 indexed citations
5.
Borza, Corina M., Fabian Bock, Xiuqi Zhang, et al.. (2021). DDR1 contributes to kidney inflammation and fibrosis by promoting the phosphorylation of BCR and STAT3. JCI Insight. 7(3). 34 indexed citations
6.
Khodo, Stellor Nlandu, Lauren Scarfe, Haichun Yang, et al.. (2020). Tubular β-catenin and FoxO3 interactions protect in chronic kidney disease. JCI Insight. 5(10). 23 indexed citations
7.
Huffstater, Tessa, W. David Merryman, & Leslie S. Gewin. (2020). Wnt/β-Catenin in Acute Kidney Injury and Progression to Chronic Kidney Disease. Seminars in Nephrology. 40(2). 126–137. 36 indexed citations
8.
Kishi, Seiji, Craig R. Brooks, Kensei Taguchi, et al.. (2019). Proximal tubule ATR regulates DNA repair to prevent maladaptive renal injury responses. Journal of Clinical Investigation. 129(11). 4797–4816. 88 indexed citations
9.
Gewin, Leslie S.. (2019). Transforming Growth Factor-β in the Acute Kidney Injury to Chronic Kidney Disease Transition. ˜The œNephron journals/Nephron journals. 143(3). 154–157. 41 indexed citations
10.
Love, Harold D., Mingfang Ao, Nicholas Ferrell, et al.. (2018). Substrate Elasticity Governs Differentiation of Renal Tubule Cells in Prolonged Culture. Tissue Engineering Part A. 25(13-14). 1013–1022. 14 indexed citations
11.
Gewin, Leslie S.. (2018). Renal Tubule Repair: Is Wnt/β-Catenin a Friend or Foe?. Genes. 9(2). 58–58. 29 indexed citations
12.
Gewin, Leslie S.. (2018). Renal fibrosis: Primacy of the proximal tubule. Matrix Biology. 68-69. 248–262. 159 indexed citations
13.
Chung, Sungjin, Jessica M. Overstreet, Yan Li, et al.. (2018). TGF-β promotes fibrosis after severe acute kidney injury by enhancing renal macrophage infiltration. JCI Insight. 3(21). 92 indexed citations
14.
Khodo, Stellor Nlandu, Marika Manolopoulou, Gautam Bhave, et al.. (2017). Blocking TGF-β and β-Catenin Epithelial Crosstalk Exacerbates CKD. Journal of the American Society of Nephrology. 28(12). 3490–3503. 48 indexed citations
15.
Woodard, Lauren E., Jizhong Cheng, Richard C. Welch, et al.. (2017). Kidney-specific transposon-mediated gene transfer in vivo. Scientific Reports. 7(1). 44904–44904. 24 indexed citations
16.
Gewin, Leslie S., Roy Zent, & Ambra Pozzi. (2016). Progression of chronic kidney disease: too much cellular talk causes damage. Kidney International. 91(3). 552–560. 131 indexed citations
17.
Chen, Xiwu, Hongtao Wang, Leslie S. Gewin, et al.. (2014). Integrin-mediated type II TGF-β receptor tyrosine dephosphorylation controls SMAD-dependent profibrotic signaling. Journal of Clinical Investigation. 124(8). 3295–3310. 61 indexed citations
18.
Gewin, Leslie S., Sangeetha Vadivelu, Manakan B. Srichai, et al.. (2012). Deleting the TGF-β Receptor Attenuates Acute Proximal Tubule Injury. Journal of the American Society of Nephrology. 23(12). 2001–2011. 71 indexed citations
19.
Gewin, Leslie S. & Roy Zent. (2012). How Does TGF-β Mediate Tubulointerstitial Fibrosis?. Seminars in Nephrology. 32(3). 228–235. 71 indexed citations
20.
Srichai, Manakan B., Leslie S. Gewin, Ty W. Abel, et al.. (2011). Membrane-Type 4 Matrix Metalloproteinase (MT4-MMP) Modulates Water Homeostasis in Mice. PLoS ONE. 6(2). e17099–e17099. 11 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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