Praveen Chander

5.3k total citations
96 papers, 4.1k citations indexed

About

Praveen Chander is a scholar working on Molecular Biology, Nephrology and Surgery. According to data from OpenAlex, Praveen Chander has authored 96 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 26 papers in Nephrology and 17 papers in Surgery. Recurrent topics in Praveen Chander's work include Renal Diseases and Glomerulopathies (23 papers), Hormonal Regulation and Hypertension (14 papers) and Renin-Angiotensin System Studies (13 papers). Praveen Chander is often cited by papers focused on Renal Diseases and Glomerulopathies (23 papers), Hormonal Regulation and Hypertension (14 papers) and Renin-Angiotensin System Studies (13 papers). Praveen Chander collaborates with scholars based in United States, United Kingdom and Germany. Praveen Chander's co-authors include Charles T. Stier, Andrea Zuckerman, Ricardo Rocha, Michael S. Goligorsky, Ricardo Rocha, Philip H. Howe, Arindam Chaudhury, Pravin C. Singhal, Sergey V. Brodsky and Anna Csiszár and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Praveen Chander

94 papers receiving 4.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Praveen Chander 1.5k 1.1k 828 660 646 96 4.1k
Andrew Advani 1.6k 1.1× 960 0.9× 781 0.9× 798 1.2× 677 1.0× 104 3.9k
Vanesa Esteban 1.6k 1.0× 741 0.7× 1.5k 1.8× 548 0.8× 458 0.7× 72 4.2k
Mónica Rupérez 1.4k 0.9× 821 0.8× 1.7k 2.1× 581 0.9× 408 0.6× 29 4.0k
Christos Chatziantoniou 1.4k 0.9× 588 0.6× 1.3k 1.5× 940 1.4× 510 0.8× 133 4.2k
Jennifer L. Wilkinson‐Berka 2.4k 1.6× 1.1k 1.1× 1.5k 1.8× 696 1.1× 441 0.7× 131 6.4k
Günter Wolf 1.6k 1.0× 722 0.7× 1.1k 1.4× 1.5k 2.3× 448 0.7× 70 4.5k
Gabriella Gruden 1.3k 0.9× 1.0k 1.0× 655 0.8× 1.1k 1.6× 593 0.9× 117 4.1k
Hideyasu Kiyomoto 1.0k 0.7× 1.3k 1.3× 1.3k 1.5× 733 1.1× 730 1.1× 106 3.9k
Anette Fiebeler 1.2k 0.8× 1.3k 1.3× 1.5k 1.8× 348 0.5× 840 1.3× 60 4.0k
Takeshi Marumo 1.5k 1.0× 603 0.6× 565 0.7× 328 0.5× 482 0.7× 59 3.7k

Countries citing papers authored by Praveen Chander

Since Specialization
Citations

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

Fields of papers citing papers by Praveen Chander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Praveen Chander

This figure shows the co-authorship network connecting the top 25 collaborators of Praveen Chander. A scholar is included among the top collaborators of Praveen Chander 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 Praveen Chander. Praveen Chander 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.
Bharati, Joyita, Praveen Chander, & Pravin C. Singhal. (2023). Parietal Epithelial Cell Behavior and Its Modulation by microRNA-193a. Biomolecules. 13(2). 266–266. 5 indexed citations
2.
Zimmerman, Amber, Eric Zhang, Joseph W. Kolis, et al.. (2023). Distribution and inflammatory cell response to intracranial delivery of radioluminescent Y2(SiO4)O:Ce particles. PLoS ONE. 18(1). e0276819–e0276819.
4.
Benigno, Michael, Arash Mostaghimi, Margarita Udall, et al.. (2020). A Large Cross-Sectional Survey Study of the Prevalence of Alopecia Areata in the United States. SHILAP Revista de lepidopterología. 6 indexed citations
5.
Chander, Praveen, et al.. (2013). C-reactive protein a better indicator of inflammation after third molar extraction. Nigerian Journal of Clinical Practice. 16(3). 297–297. 7 indexed citations
6.
Chen, Jun, Darshana M. Dadhania, Steven S. Gross, et al.. (2012). Excretion of anti-angiogenic proteins in patients with chronic allograft dysfunction. Nephrology Dialysis Transplantation. 27(2). 494–497. 1 indexed citations
7.
Kumar, Dileep, Anju Yadav, Kavithalakshmi Sataranatarajan, et al.. (2010). HIV-Associated Nephropathy. American Journal Of Pathology. 177(2). 813–821. 35 indexed citations
8.
Yasuda, Kaoru, Hyeong Cheon Park, Brian B. Ratliff, et al.. (2010). Adriamycin Nephropathy. American Journal Of Pathology. 176(4). 1685–1695. 71 indexed citations
9.
Chaudhury, Arindam, Praveen Chander, & Philip H. Howe. (2010). Heterogeneous nuclear ribonucleoproteins (hnRNPs) in cellular processes: Focus on hnRNP E1's multifunctional regulatory roles. RNA. 16(8). 1449–1462. 225 indexed citations
10.
Arora, Shitij, Mohammad Husain, Dileep Kumar, et al.. (2009). Human immunodeficiency virus downregulates podocyteapoEexpression. American Journal of Physiology-Renal Physiology. 297(3). F653–F661. 13 indexed citations
11.
Kuppachi, Sarat, et al.. (2008). Quiz Page June 2008. American Journal of Kidney Diseases. 51(6). A43–A46. 6 indexed citations
12.
Patschan, Daniel, Tatyana V. Michurina, Haikun Shi, et al.. (2007). Normal distribution and medullary-to-cortical shift of Nestin-expressing cells in acute renal ischemia. Kidney International. 71(8). 744–754. 37 indexed citations
13.
O’Riordan, Edmond, Natalia Mendelev, Susann Patschan, et al.. (2006). Chronic NOS inhibition actuates endothelial-mesenchymal transformation. American Journal of Physiology-Heart and Circulatory Physiology. 292(1). H285–H294. 106 indexed citations
14.
Goodman, Alvin I., Praveen Chander, Rita Rezzani, et al.. (2006). Heme Oxygenase-2 Deficiency Contributes to Diabetes-Mediated Increase in Superoxide Anion and Renal Dysfunction. Journal of the American Society of Nephrology. 17(4). 1073–1081. 65 indexed citations
15.
Gealekman, Olga, Sergey V. Brodsky, Fan Zhang, et al.. (2004). Endothelial dysfunction as a modifier of angiogenic response in Zucker diabetic fat rat: Amelioration with Ebselen. Kidney International. 66(6). 2337–2347. 54 indexed citations
16.
Foell, Juergen, Shawn P. O’Neil, Megan McCausland, et al.. (2003). CD137 costimulatory T cell receptor engagement reverses acute disease in lupus-prone NZB × NZW F1 mice. Journal of Clinical Investigation. 111(10). 1505–1518. 133 indexed citations
17.
Foell, Juergen, Shawn P. O’Neil, Megan McCausland, et al.. (2003). CD137 costimulatory T cell receptor engagement reverses acute disease in lupus-prone NZB × NZW F1 mice. Journal of Clinical Investigation. 111(10). 1505–1518. 145 indexed citations
18.
Stier, Charles T., Keyvan Mahboubi, Vincent A. DiPippo, Sherman D. Levine, & Praveen Chander. (1992). The antiproteinuric action of enalapril in stroke-prone spontaneously hypertensive rats is unrelated to alterations in urinary prostaglandins.. Journal of Pharmacology and Experimental Therapeutics. 260(3). 1410–1415. 16 indexed citations
19.
Chander, Praveen, et al.. (1988). Renal cytomembranous inclusions in idiopathic renal disease as predictive markers for the acquired immunodeficiency syndrome. Human Pathology. 19(9). 1060–1064. 25 indexed citations
20.
Ferreri, Nicholas R., et al.. (1984). Arachidonic acid metabolism in a cell suspension isolated from rabbit renal outer medulla.. Journal of Pharmacology and Experimental Therapeutics. 231(2). 441–448. 59 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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