Gary V. Désir

5.0k total citations
89 papers, 3.3k citations indexed

About

Gary V. Désir is a scholar working on Molecular Biology, Nephrology and Surgery. According to data from OpenAlex, Gary V. Désir has authored 89 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 18 papers in Nephrology and 15 papers in Surgery. Recurrent topics in Gary V. Désir's work include Microbial metabolism and enzyme function (36 papers), Ion channel regulation and function (25 papers) and Ion Transport and Channel Regulation (23 papers). Gary V. Désir is often cited by papers focused on Microbial metabolism and enzyme function (36 papers), Ion channel regulation and function (25 papers) and Ion Transport and Channel Regulation (23 papers). Gary V. Désir collaborates with scholars based in United States, Puerto Rico and China. Gary V. Désir's co-authors include Heino Velázquez, Peili Wang, Jianchao Xu, Aldo J. Peixoto, Guoyong Li, Yanyan Li, Xiaoqiang Yao, Robert Safirstein, Gerhard Giebisch and Wen‐Hui Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Biological Chemistry.

In The Last Decade

Gary V. Désir

88 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary V. Désir United States 36 2.4k 643 552 466 448 89 3.3k
Kirsten Madsen Denmark 38 2.9k 1.2× 681 1.1× 612 1.1× 323 0.7× 284 0.6× 128 4.4k
Heino Velázquez United States 39 3.4k 1.4× 1.0k 1.6× 474 0.9× 520 1.1× 296 0.7× 79 5.1k
R A Kelly United States 35 2.0k 0.8× 444 0.7× 1.9k 3.4× 713 1.5× 244 0.5× 47 4.7k
Florian Grahammer Germany 35 2.4k 1.0× 1.1k 1.7× 515 0.9× 283 0.6× 84 0.2× 85 4.0k
P. Darwin Bell United States 32 1.7k 0.7× 394 0.6× 600 1.1× 216 0.5× 105 0.2× 76 3.6k
P. Darwin Bell United States 30 1.3k 0.5× 343 0.5× 529 1.0× 213 0.5× 119 0.3× 56 2.5k
Kenneth R. Hallows United States 42 3.3k 1.3× 407 0.6× 262 0.5× 407 0.9× 122 0.3× 91 5.1k
Edward J. Weinman United States 42 4.2k 1.7× 1.2k 1.8× 367 0.7× 418 0.9× 159 0.4× 133 6.1k
Dominique Eladari France 34 2.1k 0.9× 827 1.3× 364 0.7× 207 0.4× 122 0.3× 79 3.5k
Eric Féraille Switzerland 42 3.1k 1.3× 540 0.8× 277 0.5× 175 0.4× 139 0.3× 92 4.4k

Countries citing papers authored by Gary V. Désir

Since Specialization
Citations

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

Fields of papers citing papers by Gary V. Désir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary V. Désir. 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 Gary V. Désir. The network helps show where Gary V. Désir may publish in the future.

Co-authorship network of co-authors of Gary V. Désir

This figure shows the co-authorship network connecting the top 25 collaborators of Gary V. Désir. A scholar is included among the top collaborators of Gary V. Désir 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 Gary V. Désir. Gary V. Désir 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.
Rajeevan, Haseena, Michael Simonov, F. Perry Wilson, et al.. (2023). Mortality Differences Among Patients With Airway Disease Hospitalized With COVID-19. A6297–A6297. 1 indexed citations
2.
Guo, Xiaojia, Valérie Blanc, Nicholas O. Davidson, et al.. (2023). APOBEC-1 deletion enhances cisplatin-induced acute kidney injury. Scientific Reports. 13(1). 22255–22255. 1 indexed citations
3.
Wang, Melinda, Jessica M. Toothaker, Christine Shugrue, et al.. (2022). Renalase and its receptor, PMCA4b, are expressed in the placenta throughout the human gestation. Scientific Reports. 12(1). 4953–4953. 5 indexed citations
4.
Gorelick, Fred S., et al.. (2021). Renalase: A Multi-Functional Signaling Molecule with Roles in Gastrointestinal Disease. Cells. 10(8). 2006–2006. 19 indexed citations
5.
Wang, Melinda, Xiaojia Guo, Jill Lacy, et al.. (2021). Renalase is a novel tissue and serological biomarker in pancreatic ductal adenocarcinoma. PLoS ONE. 16(9). e0250539–e0250539. 6 indexed citations
6.
Wang, Stephen Y., Takehiro Takahashi, Alexander B. Pine, et al.. (2021). Challenges in interpreting cytokine data in COVID-19 affect patient care and management. PLoS Biology. 19(8). e3001373–e3001373. 8 indexed citations
7.
Guo, Xiaojia, Heino Velázquez, Richard Torres, et al.. (2019). Regulated necrosis and failed repair in cisplatin-induced chronic kidney disease. Kidney International. 95(4). 797–814. 66 indexed citations
8.
Kolodecik, Thomas R., et al.. (2017). The serum protein renalase reduces injury in experimental pancreatitis. Journal of Biological Chemistry. 292(51). 21047–21059. 37 indexed citations
9.
Guo, Xiaojia, Heino Velázquez, John Chang, et al.. (2016). Renalase Expression by Melanoma and Tumor-Associated Macrophages Promotes Tumor Growth through a STAT3-Mediated Mechanism. Cancer Research. 76(13). 3884–3894. 45 indexed citations
10.
Quelhas‐Santos, Janete, Benedita Sampaio‐Maia, Fernando Remião, et al.. (2015). Assessment of Renalase Activity on Catecholamines Degradation. 7(1). 14–18. 5 indexed citations
11.
Guo, Xiaojia, Ling Wang, Heino Velázquez, Robert Safirstein, & Gary V. Désir. (2014). Renalase. Current Opinion in Nephrology & Hypertension. 23(5). 513–518. 46 indexed citations
12.
Peixoto, Aldo J., Marcelo Orías, & Gary V. Désir. (2013). Does Kidney Disease Cause Hypertension?. Current Hypertension Reports. 15(2). 89–94. 11 indexed citations
13.
Désir, Gary V. & Aldo J. Peixoto. (2013). Renalase in hypertension and kidney disease. Nephrology Dialysis Transplantation. 29(1). 22–28. 84 indexed citations
14.
Désir, Gary V., Ling Wang, & Aldo J. Peixoto. (2012). Human renalase: a review of its biology, function, and implications for hypertension. Journal of the American Society of Hypertension. 6(6). 417–426. 61 indexed citations
15.
Désir, Gary V.. (2009). Regulation of blood pressure and cardiovascular function by renalase. Kidney International. 76(4). 366–370. 109 indexed citations
16.
Désir, Gary V.. (2008). Renalase deficiency in chronic kidney disease, and its contribution to hypertension and cardiovascular disease. Current Opinion in Nephrology & Hypertension. 17(2). 181–185. 63 indexed citations
17.
Li, Yanyan, Peili Wang, Jianchao Xu, et al.. (2007). Regulation of insulin secretion and GLUT4 trafficking by the calcium sensor synaptotagmin VII. Biochemical and Biophysical Research Communications. 362(3). 658–664. 50 indexed citations
18.
Xu, Jianchao, Guoyong Li, Peili Wang, et al.. (2005). Renalase is a novel, soluble monoamine oxidase that regulates cardiac function and blood pressure. Journal of Clinical Investigation. 115(5). 1275–1280. 324 indexed citations
19.
Désir, Gary V.. (2005). Kv1.3 potassium channel blockade as an approach to insulin resistance. Expert Opinion on Therapeutic Targets. 9(3). 571–579. 23 indexed citations
20.
Yao, Xiaoqiang, Aaron Y. Chang, Emile L. Boulpaep, A S Segal, & Gary V. Désir. (1996). Molecular cloning of a glibenclamide-sensitive, voltage-gated potassium channel expressed in rabbit kidney.. Journal of Clinical Investigation. 97(11). 2525–2533. 52 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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