Robert C. Dysko

2.5k total citations · 1 hit paper
42 papers, 1.9k citations indexed

About

Robert C. Dysko is a scholar working on Nephrology, Genetics and Surgery. According to data from OpenAlex, Robert C. Dysko has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nephrology, 6 papers in Genetics and 5 papers in Surgery. Recurrent topics in Robert C. Dysko's work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Chronic Kidney Disease and Diabetes (4 papers) and Renal Diseases and Glomerulopathies (4 papers). Robert C. Dysko is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (4 papers), Chronic Kidney Disease and Diabetes (4 papers) and Renal Diseases and Glomerulopathies (4 papers). Robert C. Dysko collaborates with scholars based in United States, China and Japan. Robert C. Dysko's co-authors include Roger C. Wiggins, Jocelyn Wiggins, Meera Goyal, Bryan L. Wharram, Lawrence B. Holzman, Thomas L. Saunders, Raimon Duran‐Struuck, Steven N. Austad, Wanda E. Filipiak and Kenji Kohno and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Robert C. Dysko

41 papers receiving 1.9k citations

Hit Papers

Podocyte Depletion Causes Glomerulosclerosis 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert C. Dysko United States 16 726 582 255 213 208 42 1.9k
Natalia I. Dmitrieva United States 26 119 0.2× 1.0k 1.8× 133 0.5× 123 0.6× 434 2.1× 53 2.3k
S. Sasaki Japan 30 537 0.7× 2.5k 4.2× 158 0.6× 124 0.6× 355 1.7× 62 3.4k
Bénédicte Gérard France 23 302 0.4× 1.7k 2.9× 764 3.0× 189 0.9× 238 1.1× 59 3.2k
Rüdiger Wanke Germany 40 514 0.7× 1.8k 3.1× 1.4k 5.3× 122 0.6× 429 2.1× 154 4.7k
Patricia M. Zerfas United States 29 161 0.2× 1.6k 2.7× 332 1.3× 78 0.4× 660 3.2× 62 3.5k
Akihiro Iida Japan 23 2.5k 3.5× 1.6k 2.8× 2.0k 7.8× 458 2.2× 513 2.5× 43 5.0k
Hua Zhang China 26 81 0.1× 1.3k 2.2× 186 0.7× 111 0.5× 156 0.8× 114 2.4k
Takako Saitô Japan 25 188 0.3× 836 1.4× 196 0.8× 48 0.2× 163 0.8× 115 1.9k
Meghan E. McGee‐Lawrence United States 37 126 0.2× 1.9k 3.2× 382 1.5× 248 1.2× 779 3.7× 113 3.7k
Sabina Gallati Switzerland 26 91 0.1× 893 1.5× 310 1.2× 62 0.3× 266 1.3× 86 2.2k

Countries citing papers authored by Robert C. Dysko

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Dysko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Dysko. 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 Robert C. Dysko. The network helps show where Robert C. Dysko may publish in the future.

Co-authorship network of co-authors of Robert C. Dysko

This figure shows the co-authorship network connecting the top 25 collaborators of Robert C. Dysko. A scholar is included among the top collaborators of Robert C. Dysko 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 Robert C. Dysko. Robert C. Dysko 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.
Nickerson, Kourtney P., Robert C. Dysko, Mark J. Hoenerhoff, et al.. (2024). Next-Generation Sequencing-Based Identification of Enterobacter hormaechei as Causative Agent of High Mortality Disease in NOD.Cg-PrkdcscidIl2rgtm1Wjl/SzJ (NSG) Mice. Toxicologic Pathology. 52(1). 67–80. 1 indexed citations
3.
4.
Dysko, Robert C., et al.. (2022). Sex specific effects of buprenorphine on behavior, astrocytic opioid receptor expression and neuroinflammation after pediatric traumatic brain injury in mice. Brain Behavior & Immunity - Health. 22. 100469–100469. 15 indexed citations
5.
Fukuda, Akihiro, Larysa Wickman, Madhusudan Venkatareddy, et al.. (2011). Angiotensin II-dependent persistent podocyte loss from destabilized glomeruli causes progression of end stage kidney disease. Kidney International. 81(1). 40–55. 118 indexed citations
6.
7.
Lee, Ji Young, et al.. (2008). Quantification, distribution, and possible source of bacterial biofilm in mouse automated watering systems.. PubMed. 47(2). 63–70. 11 indexed citations
8.
Harper, James M., et al.. (2006). Genetic Modulation of Hormone Levels and Life Span in Hybrids Between Laboratory and Wild-Derived Mice. The Journals of Gerontology Series A. 61(10). 1019–1029. 37 indexed citations
9.
Wharram, Bryan L., Meera Goyal, Jocelyn Wiggins, et al.. (2005). Podocyte Depletion Causes Glomerulosclerosis. Journal of the American Society of Nephrology. 16(10). 2941–2952. 586 indexed citations breakdown →
10.
Myers, Daniel D., et al.. (2001). Subcutaneous hemangiosarcomas in a rhesus macaque (Macaca mulatta). Journal of Medical Primatology. 30(2). 127–130. 6 indexed citations
11.
Wharram, Bryan L., Meera Goyal, Patrick J. Gillespie, et al.. (2000). Altered podocyte structure in GLEPP1 (Ptpro)-deficient mice associated with hypertension and low glomerular filtration rate. Journal of Clinical Investigation. 106(10). 1281–1290. 124 indexed citations
12.
Miller, Richard A., et al.. (2000). Mouse (Mus musculus) stocks derived from tropical islands: new models for genetic analysis of life‐history traits. Journal of Zoology. 250(1). 95–104. 47 indexed citations
13.
Miller, Richard A., et al.. (2000). Mouse (Mus musculus) stocks derived from tropical islands: new models for genetic analysis of life-history traits. Journal of Zoology. 250(1). 95–104. 3 indexed citations
14.
Reuter, Jon D., Robert C. Dysko, & Clarence E. Chrisp. (1998). Review of exertional rhabdomyolysis and a case in a rhesus monkey (Macaca mulatta). Journal of Medical Primatology. 27(6). 303–309. 5 indexed citations
15.
Dysko, Robert C., et al.. (1994). Immune Complex Vasculitis with Secondary Ulcerative Dermatitis in Aged C57BL/6NNia Mice. Veterinary Pathology. 31(3). 293–300. 39 indexed citations
16.
Wiltbank, M.C., Kim P. Gallagher, Robert C. Dysko, & P. Landis Keyes. (1989). Regulation of Blood Flow to the Rabbit Corpus Luteum: Effects of Estradiol and Human Chorionic Gonadotropin*. Endocrinology. 124(2). 605–611. 30 indexed citations
17.
Rocchini, Albert P., Steven R. Gundry, Robert H. Beekman, et al.. (1988). A reversible pulmonary artery band: Preliminary experience. Journal of the American College of Cardiology. 11(1). 172–176. 5 indexed citations
18.
Wiltbank, Milo C., Robert C. Dysko, K P Gallagher, & P. Landis Keyes. (1988). Relationship between blood flow and steroidogenesis in the rabbit corpus luteum. Reproduction. 84(2). 513–520. 59 indexed citations
19.
Werns, S.W., Michael J. Shea, Paul J. Simpson, et al.. (1988). Protection of Reperfused Ischemic Canine Myocardium by CI-922, a New Inhibitor of Leukocyte Activation. Journal of Cardiovascular Pharmacology. 12(5). 608–614. 3 indexed citations
20.
Gallagher, K P, Richard A. Gerren, Mack C. Stirling, et al.. (1986). The distribution of functional impairment across the lateral border of acutely ischemic myocardium.. Circulation Research. 58(4). 570–583. 68 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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