V. Subbarao

1.5k total citations
58 papers, 1.2k citations indexed

About

V. Subbarao is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, V. Subbarao has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 19 papers in Oncology and 15 papers in Surgery. Recurrent topics in V. Subbarao's work include Peroxisome Proliferator-Activated Receptors (24 papers), Drug Transport and Resistance Mechanisms (11 papers) and Pancreatic function and diabetes (11 papers). V. Subbarao is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (24 papers), Drug Transport and Resistance Mechanisms (11 papers) and Pancreatic function and diabetes (11 papers). V. Subbarao collaborates with scholars based in United States and Nigeria. V. Subbarao's co-authors include Janardan K. Reddy, Rao Ms, Mahendra S. Rao, Anjana V. Yeldandi, Dante G. Scarpelli, D. G. Scarpelli, R.S. Dwivedi, Masae Tatematsu, Nobuyuki Ito and Melissa P. Upton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and JNCI Journal of the National Cancer Institute.

In The Last Decade

V. Subbarao

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Subbarao United States 21 589 307 273 230 166 58 1.2k
M. Sambasiva Rao United States 18 685 1.2× 254 0.8× 378 1.4× 206 0.9× 105 0.6× 33 1.6k
Sambasiva M. Rao United States 20 733 1.2× 281 0.9× 317 1.2× 189 0.8× 60 0.4× 26 1.4k
C A Sattler United States 13 334 0.6× 128 0.4× 165 0.6× 198 0.9× 112 0.7× 15 883
Kimimaro Dempo Japan 18 282 0.5× 141 0.5× 178 0.7× 127 0.6× 92 0.6× 44 894
J. Schuppler Germany 15 340 0.6× 69 0.2× 202 0.7× 222 1.0× 181 1.1× 17 778
Susumu Kodama Japan 19 403 0.7× 131 0.4× 223 0.8× 91 0.4× 445 2.7× 34 1.1k
Monica Pibiri Italy 23 685 1.2× 260 0.8× 221 0.8× 157 0.7× 109 0.7× 40 1.4k
Giovanna M. Ledda‐Columbano Italy 30 1.2k 2.1× 346 1.1× 344 1.3× 482 2.1× 146 0.9× 52 2.2k
J K Reddy United States 16 1.7k 2.8× 100 0.3× 404 1.5× 298 1.3× 294 1.8× 23 2.1k
Xiulong Song United States 18 259 0.4× 160 0.5× 407 1.5× 80 0.3× 218 1.3× 25 865

Countries citing papers authored by V. Subbarao

Since Specialization
Citations

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

Fields of papers citing papers by V. Subbarao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Subbarao

This figure shows the co-authorship network connecting the top 25 collaborators of V. Subbarao. A scholar is included among the top collaborators of V. Subbarao 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 V. Subbarao. V. Subbarao 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.
Giometti, Carol S., Xiaoli Liang, Sandra L. Tollaksen, et al.. (2000). Mouse liver selenium-binding protein decreased in abundance by peroxisome proliferators. Electrophoresis. 21(11). 2162–2169. 33 indexed citations
2.
Subbarao, V., et al.. (1998). Sex differences in dehydroepiandrosterone-induced hepatocarcinogenesis in the rat. Cancer Letters. 125(1-2). 111–116. 1 indexed citations
3.
Rao, Mahendra S. & V. Subbarao. (1997). Effect of Dexamethasone on Ciprofibrate-Induced Cell Proliferation and Peroxisome Proliferation. Toxicological Sciences. 35(1). 78–83. 3 indexed citations
4.
Jeffers, Michael, Rao Ms, Shen Rulong, et al.. (1996). Hepatocyte growth factor/scatter factor-Met signaling induces proliferation, migration, and morphogenesis of pancreatic oval cells.. PubMed. 7(12). 1805–13. 29 indexed citations
5.
Ms, Rao, Hisamitsu Ide, Keith Alvares, et al.. (1993). Comparative effects of dehydroepiandrosterone and related steroids on peroxisome proliferation in rat liver. Life Sciences. 52(21). 1709–1716. 9 indexed citations
6.
Subbarao, V., et al.. (1993). Formation of Ductular Structures in Vitro by Rat Pancreatic Epithelial Oval Cells. Experimental Cell Research. 209(1). 38–44. 11 indexed citations
7.
Ms, Rao, V. Subbarao, Anjana V. Yeldandi, & Janardan K. Reddy. (1992). Inhibition of spontaneous testicular Leydig cell tumor development in F-344 rats by dehydroepiandrosterone. Cancer Letters. 65(2). 123–126. 19 indexed citations
8.
Rao, Mahendra S., et al.. (1992). Phenotypic Properties of Liver Tumors Induced by Dehydroepiandrosterone in F‐344 Rats. Japanese Journal of Cancer Research. 83(11). 1179–1183. 15 indexed citations
9.
Rao, Mahendra S., V. Subbarao, Anjana V. Yeldandi, & Janardan K. Reddy. (1992). Hepatocarcinogenicity of dehydroepiandrosterone in the rat.. PubMed. 52(10). 2977–9. 76 indexed citations
10.
Ms, Rao, Shobha Thangada, & V. Subbarao. (1991). Peroxisome proliferation in neoplastic nodules and hepatocellular carcinomas induced by cipro-fibrate in the rat. Experimental Pathology. 41(1). 44–49. 3 indexed citations
11.
Ms, Rao, Anjana V. Yeldandi, & V. Subbarao. (1990). Quantitative analysis of hepatocellular lesions induced by di(2‐ethylhexyl)phthalate in F‐344 rats. Journal of Toxicology and Environmental Health. 30(2). 85–89. 27 indexed citations
12.
Yeldandi, Anjana V., Xiao‐Di Tan, R.S. Dwivedi, et al.. (1990). Coexpression of glutamine synthetase and carbamoylphosphate synthase I genes in pancreatic hepatocytes of rat.. Proceedings of the National Academy of Sciences. 87(3). 881–885. 20 indexed citations
13.
Yeldandi, Anjana V., et al.. (1989). Evaluation of liver cell proliferation during ciprofibrate-induced hepatocarcinogenesis. Cancer Letters. 47(1-2). 21–27. 56 indexed citations
14.
15.
Dwivedi, R.S., Keith Alvares, M R Nemali, et al.. (1989). Comparison of the Peroxisome Proliferator-Induced Pleiotropic Response in the Liver of Nine Strains of Mice. Toxicologic Pathology. 17(1_part_1). 16–26. 20 indexed citations
16.
Rao, M. Sambasiva, V. Subbarao, & D. G. Scarpelli. (1987). Atypical acinar cell lesions of the pancreas in mice induced by 4-hydroxyaminoquinoline-1-oxide. International Journal of Pancreatology. 2(1). 1–10. 10 indexed citations
17.
Scarpelli, Dante G., et al.. (1987). Species differences in the metabolism of N-nitroso(2-hydroxypropyl)(2-oxopropyl)amine. Carcinogenesis. 8(2). 295–303. 16 indexed citations
18.
Rao, Mahendra S., V. Subbarao, Anjana V. Yeldandi, & Janardan K. Reddy. (1986). Pancreatic acinar cell regeneration following copper deficiency-induced pancreatic necrosis. International Journal of Pancreatology. 2(2). 71–85. 12 indexed citations
19.
20.
Thabrew, M.I., Godwin O. Emerole, & V. Subbarao. (1982). Effect of Liv-52 on carbon tetrachloride-induced changes in hepatic microsomal drug-metabolizing enzymes of the rat. Toxicology Letters. 14(3-4). 183–188. 10 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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