Lewis Kaufman

1.2k total citations
18 papers, 666 citations indexed

About

Lewis Kaufman is a scholar working on Nephrology, Molecular Biology and Immunology. According to data from OpenAlex, Lewis Kaufman has authored 18 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nephrology, 8 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Lewis Kaufman's work include Renal Diseases and Glomerulopathies (13 papers), Renal and related cancers (5 papers) and HIV Research and Treatment (4 papers). Lewis Kaufman is often cited by papers focused on Renal Diseases and Glomerulopathies (13 papers), Renal and related cancers (5 papers) and HIV Research and Treatment (4 papers). Lewis Kaufman collaborates with scholars based in United States, China and Japan. Lewis Kaufman's co-authors include Paul E. Klotman, John Cijiang He, Michael D. Ross, Vivette D. D’Agati, Peter Y. Chuang, Mary E. Klotman, Michael J. Ross, Kayo Hayashi, Leyi Gu and Michael J. Ross and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Lewis Kaufman

18 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lewis Kaufman United States 17 329 288 115 90 89 18 666
Scott J. Bornheimer United States 9 359 1.1× 84 0.3× 163 1.4× 68 0.8× 54 0.6× 17 655
Matthew P. Vasievich United States 9 166 0.5× 40 0.1× 28 0.2× 54 0.6× 45 0.5× 12 407
John F. O’Toole United States 17 871 2.6× 520 1.8× 26 0.2× 28 0.3× 610 6.9× 39 1.4k
Sergey Lyubsky United States 11 135 0.4× 39 0.1× 40 0.3× 198 2.2× 22 0.2× 25 669
T. Griggi Italy 14 121 0.4× 18 0.1× 36 0.3× 98 1.1× 47 0.5× 21 468
Jennifer Allsop United Kingdom 18 805 2.4× 41 0.1× 82 0.7× 102 1.1× 85 1.0× 38 1.1k
Navdeep Dhillon United States 11 123 0.4× 62 0.2× 18 0.2× 321 3.6× 60 0.7× 13 785
Gary G. Singer United States 7 319 1.0× 103 0.4× 36 0.3× 644 7.2× 57 0.6× 7 1.1k
Youna Kang United States 9 183 0.6× 27 0.1× 38 0.3× 246 2.7× 17 0.2× 16 421
Beatrix Pollok‐Kopp Germany 13 236 0.7× 33 0.1× 10 0.1× 385 4.3× 28 0.3× 20 792

Countries citing papers authored by Lewis Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Lewis Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lewis Kaufman

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

All Works

18 of 18 papers shown
1.
Ya, Chen, Lewis Kaufman, Kyung Lee, et al.. (2022). SARS-CoV-2 viral protein ORF3A injures renal tubules by interacting with TRIM59 to induce STAT3 activation. Molecular Therapy. 31(3). 774–787. 17 indexed citations
2.
Doke, Tomohito, Shizheng Huang, Chengxiang Qiu, et al.. (2021). Transcriptome-wide association analysis identifies DACH1 as a kidney disease risk gene that contributes to fibrosis. Journal of Clinical Investigation. 131(10). 50 indexed citations
3.
Zhu, Bingbing, Aili Cao, Jianhua Li, et al.. (2019). Disruption of MAGI2-RapGEF2-Rap1 signaling contributes to podocyte dysfunction in congenital nephrotic syndrome caused by mutations in MAGI2. Kidney International. 96(3). 642–655. 15 indexed citations
4.
Meliambro, Kristin, Jenny Wong, Rhodora C. Calizo, et al.. (2017). The Hippo pathway regulator KIBRA promotes podocyte injury by inhibiting YAP signaling and disrupting actin cytoskeletal dynamics. Journal of Biological Chemistry. 292(51). 21137–21148. 36 indexed citations
5.
Ni, Jie, Sujin Bao, Ruth I. Johnson, et al.. (2016). MAGI-1 Interacts with Nephrin to Maintain Slit Diaphragm Structure through Enhanced Rap1 Activation in Podocytes. Journal of Biological Chemistry. 291(47). 24406–24417. 19 indexed citations
6.
Scobie, Kimberly N., Diane Damez-Werno, HaoSheng Sun, et al.. (2014). Essential role of poly(ADP-ribosyl)ation in cocaine action. Proceedings of the National Academy of Sciences. 111(5). 2005–2010. 43 indexed citations
7.
Ni, Jie, Guozhe Yang, Jeremy S. Leventhal, et al.. (2014). Podocyte-specific RAP1GAP expression contributes to focal segmental glomerulosclerosis–associated glomerular injury. Journal of Clinical Investigation. 124(4). 1757–1769. 35 indexed citations
8.
Dai, Yan, Leyi Gu, Weijie Yuan, et al.. (2013). Podocyte-specific deletion of signal transducer and activator of transcription 3 attenuates nephrotoxic serum–induced glomerulonephritis. Kidney International. 84(5). 950–961. 44 indexed citations
9.
Gu, Leyi, Yan Dai, Jin Xu, et al.. (2013). Deletion of podocyte STAT3 mitigates the entire spectrum of HIV-1-associated nephropathy. AIDS. 27(7). 1091–1098. 36 indexed citations
10.
Mallipattu, Sandeep K., Ruijie Liu, Yifei Zhong, et al.. (2013). Expression of HIV transgene aggravates kidney injury in diabetic mice. Kidney International. 83(4). 626–634. 52 indexed citations
11.
Kaufman, Lewis, Sarah K. Coleman, Stanislav Dikiy, et al.. (2010). Up-regulation of the Homophilic Adhesion Molecule Sidekick-1 in Podocytes Contributes to Glomerulosclerosis. Journal of Biological Chemistry. 285(33). 25677–25685. 27 indexed citations
12.
Feng, Xiaobei, Peter Y. Chuang, Ting-Chi Lu, et al.. (2010). Role of the retinoic acid receptor-α in HIV-associated nephropathy. Kidney International. 79(6). 624–634. 58 indexed citations
13.
Kaufman, Lewis, Susan E. Collins, & Paul E. Klotman. (2009). The Pathogenesis of HIV-Associated Nephropathy. Advances in Chronic Kidney Disease. 17(1). 36–43. 20 indexed citations
14.
Kaufman, Lewis, Guozhe Yang, Kayo Hayashi, et al.. (2007). The homophilic adhesion molecule sidekick‐1 contributes to augmented podocyte aggregation in HIV‐associated nephropathy. The FASEB Journal. 21(7). 1367–1375. 27 indexed citations
15.
Ross, Michael J., Matthew S. Wosnitzer, Michael D. Ross, et al.. (2006). Role of Ubiquitin-Like Protein FAT10 in Epithelial Apoptosis in Renal Disease. Journal of the American Society of Nephrology. 17(4). 996–1004. 74 indexed citations
16.
Ross, Michael J., Cheng Fan, Michael D. Ross, et al.. (2006). HIV-1 Infection Initiates an Inflammatory Cascade in Human Renal Tubular Epithelial Cells. JAIDS Journal of Acquired Immune Deficiency Syndromes. 42(1). 1–11. 64 indexed citations
17.
Hayashi, Kayo, Lewis Kaufman, Michael D. Ross, & Paul E. Klotman. (2005). Definition of the critical domains required for homophilic targeting of mouse sidekick molecules. The FASEB Journal. 19(6). 1–16. 19 indexed citations
18.
Kaufman, Lewis, Kayo Hayashi, Michael J. Ross, Michael D. Ross, & Paul E. Klotman. (2004). Sidekick-1 Is Upregulated in Glomeruli in HIV-Associated Nephropathy. Journal of the American Society of Nephrology. 15(7). 1721–1730. 30 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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