Archana Raman

537 total citations
10 papers, 391 citations indexed

About

Archana Raman is a scholar working on Nephrology, Genetics and Molecular Biology. According to data from OpenAlex, Archana Raman has authored 10 papers receiving a total of 391 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 Molecular Biology. Recurrent topics in Archana Raman's work include Renal Diseases and Glomerulopathies (7 papers), Genetic and Kidney Cyst Diseases (6 papers) and Renal and related cancers (3 papers). Archana Raman is often cited by papers focused on Renal Diseases and Glomerulopathies (7 papers), Genetic and Kidney Cyst Diseases (6 papers) and Renal and related cancers (3 papers). Archana Raman collaborates with scholars based in United States, France and China. Archana Raman's co-authors include Darren P. Wallace, Gail A. Reif, Gino A. Kurian, José Padikkala, Stephen C. Parnell, Junnan Wu, Katalin Suszták, Cibele S. Pinto, Pazit Beckerman and Ziyuan Ma and has published in prestigious journals such as Journal of Clinical Investigation, Immunity and The FASEB Journal.

In The Last Decade

Archana Raman

10 papers receiving 381 citations

Peers

Archana Raman

MB

NEPHR

GENET

IMMUN

PFM

Tatsuya Tominaga Japan

Lucía Tejedor-Santamaria Spain

Asako Hayashi Japan

Shunmin Li China

Rodrigo P. Silva‐Aguiar Brazil

Yiqian Zhang China

Petra Lux Netherlands

J. A. Heuson-Stiennon Belgium

Xiaoqiang Yan China

Michitsune Arita Japan

Tatsuya Tominaga Japan

Archana Raman

265 ×1.4

MB

236 ×1.8

NEPHR

46 ×0.4

GENET

41 ×0.7

IMMUN

31 ×0.7

PFM

Citations per year, relative to Archana Raman Archana Raman (= 1×) peers Tatsuya Tominaga

Countries citing papers authored by Archana Raman

Since Specialization

Citations

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

Fields of papers citing papers by Archana Raman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archana Raman

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

All Works

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10 of 10 papers shown

1.

Parnell, Stephen C., Archana Raman, Yan Zhang, et al.. (2022). Expression of active B-Raf proto-oncogene in kidney collecting ducts induces cyst formation in normal mice and accelerates cyst growth in mice with polycystic kidney disease. Kidney International. 102(5). 1103–1114. 4 indexed citations

2.

Poudel, Bibek, et al.. (2022). Endothelial cell‐specific inducible G2APOL1 risk variant induces hypertension and hypertensive kidney disease in uni‐nephrectomy and high‐salt mice model. The FASEB Journal. 36(S1). 1 indexed citations

3.

Wu, Junnan, Archana Raman, Nathan J. Coffey, et al.. (2021). The key role of NLRP3 and STING in APOL1-associated podocytopathy. Journal of Clinical Investigation. 131(20). 94 indexed citations

4.

Wu, Junnan, Ziyuan Ma, Archana Raman, et al.. (2021). APOL1 risk variants in individuals of African genetic ancestry drive endothelial cell defects that exacerbate sepsis. Immunity. 54(11). 2632–2649.e6. 63 indexed citations

5.

Zhang, Yan, et al.. (2020). Overexpression of TGF-β1 induces renal fibrosis and accelerates the decline in kidney function in polycystic kidney disease. American Journal of Physiology-Renal Physiology. 319(6). F1135–F1148. 23 indexed citations

6.

Raman, Archana, Stephen C. Parnell, Yan Zhang, et al.. (2018). Periostin overexpression in collecting ducts accelerates renal cyst growth and fibrosis in polycystic kidney disease. American Journal of Physiology-Renal Physiology. 315(6). F1695–F1707. 23 indexed citations

7.

Raman, Archana, Gail A. Reif, Xiaogang Li, et al.. (2017). Integrin-Linked Kinase Signaling Promotes Cyst Growth and Fibrosis in Polycystic Kidney Disease. Journal of the American Society of Nephrology. 28(9). 2708–2719. 34 indexed citations

8.

Pinto, Cibele S., Archana Raman, Gail A. Reif, et al.. (2015). Phosphodiesterase Isoform Regulation of Cell Proliferation and Fluid Secretion in Autosomal Dominant Polycystic Kidney Disease. Journal of the American Society of Nephrology. 27(4). 1124–1134. 35 indexed citations

9.

Wallace, Darren P., Gail A. Reif, Cibele S. Pinto, et al.. (2013). Periostin promotes renal cyst growth and interstitial fibrosis in polycystic kidney disease. Kidney International. 85(4). 845–854. 47 indexed citations

10.

Kurian, Gino A., et al.. (2010). Antioxidant effects of ethyl acetate extract of Desmodium gangeticum root on myocardial ischemia reperfusion injury in rat hearts. Chinese Medicine. 5(1). 3–3. 67 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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