P. Gollapudi

484 total citations
9 papers, 369 citations indexed

About

P. Gollapudi is a scholar working on Nephrology, Immunology and Surgery. According to data from OpenAlex, P. Gollapudi has authored 9 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Nephrology, 3 papers in Immunology and 2 papers in Surgery. Recurrent topics in P. Gollapudi's work include T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Folate and B Vitamins Research (2 papers). P. Gollapudi is often cited by papers focused on T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers) and Folate and B Vitamins Research (2 papers). P. Gollapudi collaborates with scholars based in United States and South Korea. P. Gollapudi's co-authors include Madeleine V. Pahl, S Gollapudi, N.D. Vaziri, Nosratola D. Vaziri, L. Sepassi, Jong‐Woo Yoon, Sudhanshu Agrawal, N.D. Vaziri, Hamid Moradi and Hamid M. Said and has published in prestigious journals such as Nephrology Dialysis Transplantation, American Journal of Nephrology and Journal of the National Medical Association.

In The Last Decade

P. Gollapudi

9 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Gollapudi United States 7 125 112 61 53 51 9 369
J. J. Weening Netherlands 6 53 0.4× 119 1.1× 24 0.4× 44 0.8× 92 1.8× 12 403
Ana Garcia Diaz United Kingdom 11 138 1.1× 24 0.2× 95 1.6× 38 0.7× 90 1.8× 21 474
Alexander Holderied Germany 7 203 1.6× 164 1.5× 25 0.4× 46 0.9× 137 2.7× 12 442
M Maruyama Japan 9 110 0.9× 72 0.6× 117 1.9× 40 0.8× 144 2.8× 21 465
José Guilherme Ferreira Marques Galvão Brazil 7 73 0.6× 139 1.2× 27 0.4× 30 0.6× 97 1.9× 26 403
Helga Toenhake-Dijkstra Netherlands 6 109 0.9× 179 1.6× 99 1.6× 74 1.4× 210 4.1× 7 498
Yoshihiko Hidaka Japan 13 235 1.9× 166 1.5× 53 0.9× 13 0.2× 40 0.8× 32 398
Franziska Kraft Germany 5 184 1.5× 102 0.9× 28 0.5× 31 0.6× 103 2.0× 5 340
Chung-Han Yang Taiwan 8 89 0.7× 64 0.6× 171 2.8× 43 0.8× 52 1.0× 13 368

Countries citing papers authored by P. Gollapudi

Since Specialization
Citations

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

Fields of papers citing papers by P. Gollapudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Gollapudi

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

All Works

9 of 9 papers shown
1.
Han, Seungyeup, et al.. (2013). Hepatic fatty acid and cholesterol metabolism in nephrotic syndrome.. PubMed. 5(2). 246–53. 13 indexed citations
2.
Vaziri, Nosratola D., Kaveh Navab, P. Gollapudi, et al.. (2011). Salutary Effects of Hemodialysis on Low-Density Lipoprotein Proinflammatory and High-Density Lipoprotein Anti-inflammatory Properties in Patient With End-Stage Renal Disease. Journal of the National Medical Association. 103(6). 524–533. 27 indexed citations
3.
Vaziri, N.D., et al.. (2011). Nephrotic syndrome causes upregulation of HDL endocytic receptor and PDZK-1-dependent downregulation of HDL docking receptor. Nephrology Dialysis Transplantation. 26(10). 3118–3123. 17 indexed citations
4.
Moradi, Hamid Reza, et al.. (2010). Effect of chronic kidney disease on the expression of thiamin and folic acid transporters. Nephrology Dialysis Transplantation. 26(7). 2137–2144. 39 indexed citations
5.
Gollapudi, P., Jong‐Woo Yoon, S Gollapudi, Madeleine V. Pahl, & Nosratola D. Vaziri. (2010). Leukocyte Toll-Like Receptor Expression in End-Stage Kidney Disease. American Journal of Nephrology. 31(3). 247–254. 73 indexed citations
6.
Aminzadeh, M, P. Gollapudi, & Nosratola D. Vaziri. (2010). Effect of nephrotic syndrome on homocysteine metabolism. Nephrology Dialysis Transplantation. 26(4). 1244–1247. 6 indexed citations
7.
Pahl, Madeleine V., et al.. (2009). Effect of end-stage renal disease on B-lymphocyte subpopulations, IL-7, BAFF and BAFF receptor expression. Nephrology Dialysis Transplantation. 25(1). 205–212. 131 indexed citations
8.
Agrawal, Sudhanshu, et al.. (2009). Effects of end-stage renal disease and haemodialysis on dendritic cell subsets and basal and LPS-stimulated cytokine production. Nephrology Dialysis Transplantation. 25(3). 737–746. 59 indexed citations
9.
Leehey, David J., et al.. (1991). Naloxone increases water and electrolyte excretion after water loading in patients with cirrhosis and ascites.. PubMed. 118(5). 484–91. 4 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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