Jerry Yee

8.2k total citations · 1 hit paper
134 papers, 4.9k citations indexed

About

Jerry Yee is a scholar working on Nephrology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Jerry Yee has authored 134 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Nephrology, 30 papers in Pulmonary and Respiratory Medicine and 20 papers in Epidemiology. Recurrent topics in Jerry Yee's work include Dialysis and Renal Disease Management (26 papers), Acute Kidney Injury Research (18 papers) and Chronic Kidney Disease and Diabetes (18 papers). Jerry Yee is often cited by papers focused on Dialysis and Renal Disease Management (26 papers), Acute Kidney Injury Research (18 papers) and Chronic Kidney Disease and Diabetes (18 papers). Jerry Yee collaborates with scholars based in United States, United Kingdom and Belgium. Jerry Yee's co-authors include Pedro Cortés, Anatole Besarab, Bruce L. Riser, Sandeep Soman, Robert J. McDonald, Mark A. Perazella, Roger A. Rodby, Jeffrey C. Weinreb, Jonathan R. Dillman and Matthew S. Davenport and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Jerry Yee

131 papers receiving 4.7k citations

Hit Papers

Use of Intravenous Iodinated Contrast Media in Patients w... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jerry Yee United States 39 2.0k 851 823 792 615 134 4.9k
Nicole M. Isbel Australia 41 2.1k 1.1× 977 1.1× 718 0.9× 393 0.5× 1.2k 2.0× 215 5.8k
Stefan H. Jacobson Sweden 42 2.9k 1.5× 962 1.1× 934 1.1× 575 0.7× 1.3k 2.2× 214 7.1k
Vedat Schwenger Germany 37 1.7k 0.8× 660 0.8× 787 1.0× 523 0.7× 1.3k 2.1× 197 4.6k
Matthias Girndt Germany 46 2.2k 1.1× 585 0.7× 686 0.8× 743 0.9× 969 1.6× 195 7.0k
Carola Grönhagen‐Riska Finland 38 1.5k 0.7× 585 0.7× 537 0.7× 508 0.6× 1.3k 2.2× 120 4.9k
Andrew A. House Canada 36 2.7k 1.4× 2.4k 2.8× 1.5k 1.9× 544 0.7× 1.3k 2.1× 166 7.0k
Guido Filler Canada 45 3.3k 1.7× 450 0.5× 1.1k 1.3× 726 0.9× 1.0k 1.7× 307 7.4k
Rulan S. Parekh Canada 41 3.4k 1.7× 1.4k 1.7× 868 1.1× 793 1.0× 1.3k 2.1× 204 7.0k
Martin Zeier Germany 49 2.1k 1.1× 843 1.0× 1.6k 1.9× 1.0k 1.3× 2.6k 4.3× 313 9.4k
Gianluca Villa Italy 25 2.5k 1.3× 1.1k 1.3× 1.2k 1.5× 477 0.6× 1.3k 2.1× 126 5.9k

Countries citing papers authored by Jerry Yee

Since Specialization
Citations

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

Fields of papers citing papers by Jerry Yee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jerry Yee

This figure shows the co-authorship network connecting the top 25 collaborators of Jerry Yee. A scholar is included among the top collaborators of Jerry Yee 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 Jerry Yee. Jerry Yee 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.
Wright, Clinton B., Alexander P. Auchus, Alan J. Lerner, et al.. (2021). Effect of Intensive Versus Standard Blood Pressure Control on Stroke Subtypes. Hypertension. 77(4). 1391–1398. 3 indexed citations
2.
Yee, Jerry, et al.. (2018). Digital gangrene and pneumatosis intestinalis associated with calciphylaxis. Journal of Vascular Surgery Cases and Innovative Techniques. 4(2). 133–135. 1 indexed citations
4.
Wish, Jay B., Chaim Charytan, Glenn M. Chertow, et al.. (2016). Introduction of Biosimilar Therapeutics Into Nephrology Practice in the United States: Report of a Scientific Workshop Sponsored by the National Kidney Foundation. American Journal of Kidney Diseases. 68(6). 843–852. 7 indexed citations
5.
Szamosfalvi, Balázs, Stanley Frinak, & Jerry Yee. (2012). Sensors and Hybrid Therapies: A New Approach with Automated Citrate Anticoagulation. Blood Purification. 34(2). 80–87. 15 indexed citations
6.
Besarab, Anatole, et al.. (2010). 50: Iron Repletion Decreases Platelet Counts (PLT) in Non-Dialysis CKD Patients. American Journal of Kidney Diseases. 55(4). B44–B44. 2 indexed citations
7.
Yee, Jerry. (2008). Guest Editor: Jerry Yee, MD. Diabetes Spectrum. 21(1). 11–11. 1 indexed citations
8.
Jennings, Douglas L., et al.. (2007). Combination therapy with an ACE inhibitor and an angiotensin receptor blocker for diabetic nephropathy: a meta‐analysis. Diabetic Medicine. 24(5). 486–493. 97 indexed citations
9.
Nori, Uday, et al.. (2006). Mortality risk factors in chronic haemodialysis patients with infective endocarditis. Nephrology Dialysis Transplantation. 21(8). 2184–2190. 64 indexed citations
10.
Hassett, Clare, et al.. (2005). Effects of sulfonylureas, α-endosulfine counterparts, on glomerulosclerosis in type 1 and type 2 models of diabetes. Kidney International. 67(2). 554–565. 12 indexed citations
11.
Aronoff, George R., William M. Bennett, Samuel S. Blumenthal, et al.. (2004). Iron sucrose in hemodialysis patients: Safety of replacement and maintenance regimens. Kidney International. 66(3). 1193–1198. 73 indexed citations
12.
Riser, Bruce L., et al.. (2003). Urinary CCN2 (CTGF) as a possible predictor of diabetic nephropathy: Preliminary report. Kidney International. 64(2). 451–458. 79 indexed citations
13.
Szamosfalvi, Balázs, et al.. (2002). Putative subunits of the rat mesangial KATP: A type 2B sulfonylurea receptor and an inwardly rectifying K+ channel. Kidney International. 61(5). 1739–1749. 18 indexed citations
14.
Frinak, Stanley, et al.. (2002). Dynamic venous access pressure ratio test for hemodialysis access monitoring. American Journal of Kidney Diseases. 40(4). 760–768. 42 indexed citations
15.
Soman, Sandeep, Keisha R. Sandberg, Steven Borzak, et al.. (2002). The Independent Association of Renal Dysfunction and Arrhythmias in Critically Ill Patients. CHEST Journal. 122(2). 669–677. 39 indexed citations
16.
Riser, Bruce L., Pedro Cortés, & Jerry Yee. (2000). Modelling the effects of vascular stress in mesangial cells. Current Opinion in Nephrology & Hypertension. 9(1). 43–47. 38 indexed citations
17.
McCullough, Peter A., Sandeep Soman, Shalin Shah, et al.. (2000). Risks associated with renal dysfunction in patients in the coronary care unit. Journal of the American College of Cardiology. 36(3). 679–684. 193 indexed citations
18.
Riser, Bruce L., et al.. (2000). Regulation of Connective Tissue Growth Factor Activity in Cultured Rat Mesangial Cells and Its Expression in Experimental Diabetic Glomerulosclerosis. Journal of the American Society of Nephrology. 11(1). 25–38. 341 indexed citations
19.
Yee, Jerry & Irawan Susanto. (2000). Sublingual Capnometry. CHEST Journal. 118(4). 894–896. 2 indexed citations
20.
Gupta, Ajay, Neeta B. Amin, Anatole Besarab, et al.. (1999). Dialysate iron therapy: Infusion of soluble ferric pyrophosphate via the dialysate during hemodialysis. Kidney International. 55(5). 1891–1898. 45 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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