Thiruvur Niranjan

1.2k total citations
9 papers, 997 citations indexed

About

Thiruvur Niranjan is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Thiruvur Niranjan has authored 9 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Nephrology and 4 papers in Genetics. Recurrent topics in Thiruvur Niranjan's work include Genetic Syndromes and Imprinting (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Renal and related cancers (3 papers). Thiruvur Niranjan is often cited by papers focused on Genetic Syndromes and Imprinting (4 papers), Renal Diseases and Glomerulopathies (4 papers) and Renal and related cancers (3 papers). Thiruvur Niranjan collaborates with scholars based in United States, Germany and Italy. Thiruvur Niranjan's co-authors include Katalin Suszták, Bernhard Bielesz, David B. Thomas, Jeffrey B. Kopp, Manish P. Ponda, Han Si, James Pullman, Hideki Kato, Mariana Murea and Manfred Gessler and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Thiruvur Niranjan

9 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thiruvur Niranjan United States	8	546	429	184	99	92	9	997
Bernhard Bielesz Austria	13	422 0.8×	541 1.3×	174 0.9×	161 1.6×	58 0.6×	21	970
Arnaud Marlier United States	19	453 0.8×	337 0.8×	147 0.8×	122 1.2×	121 1.3×	26	930
Yoshiharu Muto Japan	15	492 0.9×	233 0.5×	90 0.5×	118 1.2×	92 1.0×	42	917
Toshiyuki Imasawa Japan	18	511 0.9×	315 0.7×	93 0.5×	91 0.9×	119 1.3×	61	1.1k
Kunimasa Yan Japan	23	561 1.0×	727 1.7×	247 1.3×	93 0.9×	151 1.6×	52	1.4k
Ziyuan Ma United States	13	501 0.9×	285 0.7×	91 0.5×	129 1.3×	134 1.5×	24	873
L Kiss United States	7	487 0.9×	555 1.3×	166 0.9×	80 0.8×	127 1.4×	9	951
Amandine Viau France	12	369 0.7×	390 0.9×	184 1.0×	97 1.0×	93 1.0×	18	933
Silja K. Sanden United States	8	511 0.9×	896 2.1×	255 1.4×	80 0.8×	121 1.3×	8	1.2k
Hidekazu Sugiura Japan	17	342 0.6×	725 1.7×	297 1.6×	142 1.4×	77 0.8×	41	1.2k

Countries citing papers authored by Thiruvur Niranjan

Since Specialization

Citations

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

Fields of papers citing papers by Thiruvur Niranjan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thiruvur Niranjan

This figure shows the co-authorship network connecting the top 25 collaborators of Thiruvur Niranjan. A scholar is included among the top collaborators of Thiruvur Niranjan 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 Thiruvur Niranjan. Thiruvur Niranjan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Zhao, Yiwei, et al.. (2024). Methods comparison of two‐dimensional gel electrophoresis for host cell protein characterization. Biotechnology Progress. 40(4). e3452–e3452. 1 indexed citations

Sweetwyne, Mariya T., et al.. (2015). Notch1 and Notch2 in Podocytes Play Differential Roles During Diabetic Nephropathy Development. Diabetes. 64(12). 4099–4111. 53 indexed citations

Bielesz, Bernhard, Yasemin Sirin, Han Si, et al.. (2010). Epithelial Notch signaling regulates interstitial fibrosis development in the kidneys of mice and humans. Journal of Clinical Investigation. 120(11). 4040–4054. 293 indexed citations

Murea, Mariana, Shuchita Sharma, Hideki Kato, et al.. (2010). Expression of Notch pathway proteins correlates with albuminuria, glomerulosclerosis, and renal function. Kidney International. 78(5). 514–522. 156 indexed citations

Niranjan, Thiruvur, Mariana Murea, & Katalin Suszták. (2009). The Pathogenic Role of Notch Activation in Podocytes. Nephron Experimental Nephrology. 111(4). e73–e79. 47 indexed citations

Xavier, Sandhya, Thiruvur Niranjan, Stefanie Krick, et al.. (2009). TβRI Independently Activates Smad- and CD2AP-Dependent Pathways in Podocytes. Journal of the American Society of Nephrology. 20(10). 2127–2137. 35 indexed citations

Niranjan, Thiruvur, Bernhard Bielesz, Manish P. Ponda, et al.. (2008). The Notch pathway in podocytes plays a role in the development of glomerular disease. Nature Medicine. 14(3). 290–298. 337 indexed citations

Nagajyothi, Fnu, Mahalia S. Desruisseaux, Thiruvur Niranjan, et al.. (2008). Trypanosoma cruzi Infection of Cultured Adipocytes Results in an Inflammatory Phenotype. Obesity. 16(9). 1992–1997. 60 indexed citations

Niranjan, Thiruvur, et al.. (2007). Kelch Repeat Protein Interacts with the Yeast Gα Subunit Gpa2p at a Site That Couples Receptor Binding to Guanine Nucleotide Exchange. Journal of Biological Chemistry. 282(33). 24231–24238. 15 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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