Pravin C. Singhal

11.8k total citations
301 papers, 7.4k citations indexed

About

Pravin C. Singhal is a scholar working on Nephrology, Molecular Biology and Immunology. According to data from OpenAlex, Pravin C. Singhal has authored 301 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Nephrology, 97 papers in Molecular Biology and 48 papers in Immunology. Recurrent topics in Pravin C. Singhal's work include Renal Diseases and Glomerulopathies (88 papers), Chronic Kidney Disease and Diabetes (37 papers) and HIV Research and Treatment (22 papers). Pravin C. Singhal is often cited by papers focused on Renal Diseases and Glomerulopathies (88 papers), Chronic Kidney Disease and Diabetes (37 papers) and HIV Research and Treatment (22 papers). Pravin C. Singhal collaborates with scholars based in United States, India and United Kingdom. Pravin C. Singhal's co-authors include Nicholas Franki, Aditi A. Kapasi, Krishna Reddy, Joseph Mattana, Nora Gibbons, K. S. Chugh, Guohua Ding, Ashwani Malhotra, Madhu Bhaskaran and Xiqian Lan and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Pravin C. Singhal

295 papers receiving 7.2k citations

Author Peers

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

Author Last Decade Papers Cites
Pravin C. Singhal 2.2k 2.1k 1.1k 857 812 301 7.4k
David A. Power 2.4k 1.1× 1.5k 0.7× 1.1k 1.0× 940 1.1× 1.5k 1.9× 187 7.0k
Kenichi Shikata 1.8k 0.8× 1.6k 0.8× 725 0.7× 811 0.9× 807 1.0× 177 6.1k
Yoshio Terada 3.3k 1.5× 1.2k 0.6× 847 0.8× 568 0.7× 1.0k 1.3× 253 6.6k
Reiko Inagi 2.9k 1.3× 2.7k 1.3× 958 0.9× 983 1.1× 1.4k 1.7× 194 10.1k
Mario Schiffer 2.3k 1.0× 3.3k 1.6× 812 0.8× 1.0k 1.2× 399 0.5× 246 7.0k
Theodore M. Danoff 2.7k 1.2× 1.4k 0.7× 1.0k 1.0× 956 1.1× 439 0.5× 47 6.7k
Lorraine C. Racusen 1.7k 0.8× 2.7k 1.3× 2.6k 2.4× 1.5k 1.8× 543 0.7× 160 9.5k
Taiji Matsusaka 2.9k 1.3× 1.9k 0.9× 643 0.6× 1.3k 1.5× 502 0.6× 124 7.4k
Manjeri A. Venkatachalam 4.5k 2.0× 3.1k 1.5× 984 0.9× 773 0.9× 855 1.1× 116 9.6k
Jan‐Luuk Hillebrands 1.5k 0.7× 885 0.4× 1.2k 1.1× 745 0.9× 535 0.7× 173 6.1k

Countries citing papers authored by Pravin C. Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Pravin C. Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pravin C. Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Pravin C. Singhal. A scholar is included among the top collaborators of Pravin C. Singhal 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 Pravin C. Singhal. Pravin C. Singhal 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.
Singhal, Pravin C. & Karl Skorecki. (2025). APOL1 Dynamics in Diabetic Kidney Disease and Hypertension. Biomolecules. 15(2). 205–205. 1 indexed citations
2.
Кумар, Винод, Prabhjot Kaur, Kamesh Ayasolla, et al.. (2024). APOL1 Modulates Renin–Angiotensin System. Biomolecules. 14(12). 1575–1575. 1 indexed citations
3.
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
4.
Bharati, Joyita, et al.. (2023). MicroRNA193a: An Emerging Mediator of Glomerular Diseases. Biomolecules. 13(12). 1743–1743. 4 indexed citations
5.
Singhal, Pravin C., et al.. (2020). APOL1 risk variants and the development of HIV‐associated nephropathy. FEBS Journal. 288(19). 5586–5597. 17 indexed citations
6.
Kumar, Vinod, Shabirul Haque, Kamesh Ayasolla, et al.. (2019). Alterations in plasma membrane ion channel structures stimulate NLRP3 inflammasome activation in APOL1 risk milieu. FEBS Journal. 287(10). 2000–2022. 19 indexed citations
7.
Ward, Christopher J., et al.. (2019). Notch4 activation aggravates NF-kappa B mediated inflammation in HIV-1 associated Nephropathy. Disease Models & Mechanisms. 12(12). 15 indexed citations
8.
Wan, Jianxin, Yipeng Liu, Qian Yang, et al.. (2014). sPLA2 IB induces human podocyte apoptosis via the M-type phospholipase A2 receptor. Scientific Reports. 4(1). 6660–6660. 28 indexed citations
9.
Cheng, Kang, Partab Rai, Xiqian Lan, et al.. (2013). Transplantation of bone marrow-derived MSCs improves cisplatinum-induced renal injury through paracrine mechanisms. Experimental and Molecular Pathology. 94(3). 466–473. 83 indexed citations
10.
Kumar, Dileep, Partab Rai, Rivka Lederman, et al.. (2013). Deficit of p66ShcA restores redox-sensitive stress response program in cisplatin-induced acute kidney injury. Experimental and Molecular Pathology. 94(3). 445–452. 7 indexed citations
11.
Singh, Priyanka, Mohammad Husain, Xiqian Lan, et al.. (2012). Tubular cell HIV-entry through apoptosed CD4 T cells: A novel pathway. Virology. 434(1). 68–77. 16 indexed citations
12.
Kumar, Dileep, Anju Yadav, Kavithalakshmi Sataranatarajan, et al.. (2010). HIV-Associated Nephropathy. American Journal Of Pathology. 177(2). 813–821. 35 indexed citations
13.
Liang, Wei, et al.. (2009). Aldosterone Induces Apoptosis in Rat Podocytes: Role of PI3-K/Akt and p38MAPK Signaling Pathways. Nephron Experimental Nephrology. 113(1). e26–e34. 41 indexed citations
14.
Mikulak, Joanna, Saul Teichberg, Thomas W. Faust, Helena Schmidtmayerova, & Pravin C. Singhal. (2008). HIV-1 harboring renal tubular epithelial cell interaction with T cells results in T cell trans-infection. Virology. 385(1). 105–114. 20 indexed citations
15.
Bhaskaran, Madhu, Aditi A. Kapasi, Krishna Reddy, & Pravin C. Singhal. (2007). Morphine Priming Rescues High‐Dose Morphine‐Induced Biological Perturbations. The Journal of Infectious Diseases. 195(12). 1860–1869. 7 indexed citations
16.
Bhaskaran, Madhu, et al.. (2004). Protease inhibitors modulate apoptosis in mesangial cells derived from a mouse model of HIVAN. Kidney International. 65(3). 860–870. 12 indexed citations
17.
Singhal, Pravin C., Madhu Bhaskaran, Kalpesh Patel, et al.. (2002). Role of P38 Mitogen-Activated Protein Kinase Phosphorylation and Fas-Fas Ligand Interaction in Morphine-Induced Macrophage Apoptosis. The Journal of Immunology. 168(8). 4025–4033. 76 indexed citations
18.
Schwenk, Michael H., et al.. (1995). Acetazolamide Toxicity and Pharmacokinetics in Patients Receiving Hemodialysis. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 15(4). 522–527. 23 indexed citations
19.
Mattana, Joseph, Nora Gibbons, & Pravin C. Singhal. (1994). Cocaine interacts with macrophages to modulate mesangial cell proliferation.. Journal of Pharmacology and Experimental Therapeutics. 271(1). 311–318. 19 indexed citations
20.
Singhal, Pravin C. & Detlef Schlöndorff. (1987). Hyperosmolal State Associated with Rhabdomyolysis. ˜The œNephron journals/Nephron journals. 47(3). 202–204. 18 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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