Jyothish B. Pillai

1.1k total citations
6 papers, 919 citations indexed

About

Jyothish B. Pillai is a scholar working on Oncology, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology. According to data from OpenAlex, Jyothish B. Pillai has authored 6 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Cardiology and Cardiovascular Medicine and 3 papers in Geriatrics and Gerontology. Recurrent topics in Jyothish B. Pillai's work include PARP inhibition in cancer therapy (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Viral Infections and Immunology Research (2 papers). Jyothish B. Pillai is often cited by papers focused on PARP inhibition in cancer therapy (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Viral Infections and Immunology Research (2 papers). Jyothish B. Pillai collaborates with scholars based in United States. Jyothish B. Pillai's co-authors include Mahesh P. Gupta, Ayman Isbatan, Madhu Gupta, Senthilkumar B. Rajamohan, Vinodkumar B. Pillai, Sadhana Samant, Nagalingam R. Sundaresan, Ravindra P. Veeranna, Gene Kim and Jai Raman and has published in prestigious journals such as Journal of Biological Chemistry and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

Jyothish B. Pillai

6 papers receiving 911 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jyothish B. Pillai United States 6 487 371 272 257 204 6 919
Giovanna Sociali Italy 15 605 1.2× 293 0.8× 314 1.2× 161 0.6× 253 1.2× 18 1.1k
Kathleen A. Hershberger United States 8 239 0.5× 223 0.6× 56 0.2× 115 0.4× 116 0.6× 11 494
Chun‐Yang Xiao Japan 7 232 0.5× 293 0.8× 33 0.1× 178 0.7× 140 0.7× 10 545
Jing Dai China 4 232 0.5× 272 0.7× 43 0.2× 157 0.6× 137 0.7× 7 485
Maria Thereza Barbosa United States 5 324 0.7× 179 0.5× 158 0.6× 166 0.6× 133 0.7× 6 658
Vera Lemos Switzerland 10 98 0.2× 334 0.9× 174 0.6× 216 0.8× 252 1.2× 10 742
Wichit Suthammarak United States 9 100 0.2× 534 1.4× 36 0.1× 122 0.5× 75 0.4× 13 734
Xinjian Ge China 7 562 1.2× 495 1.3× 100 0.4× 460 1.8× 263 1.3× 7 1.1k
Aaron Long United States 11 264 0.5× 284 0.8× 102 0.4× 117 0.5× 126 0.6× 11 604
Shoshana Naiman Israel 6 688 1.4× 412 1.1× 94 0.3× 480 1.9× 291 1.4× 6 1.1k

Countries citing papers authored by Jyothish B. Pillai

Since Specialization
Citations

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

Fields of papers citing papers by Jyothish B. Pillai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jyothish B. Pillai. 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 Jyothish B. Pillai. The network helps show where Jyothish B. Pillai may publish in the future.

Co-authorship network of co-authors of Jyothish B. Pillai

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

All Works

6 of 6 papers shown
1.
Pillai, Vinodkumar B., Nagalingam R. Sundaresan, Gene Kim, et al.. (2009). Exogenous NAD Blocks Cardiac Hypertrophic Response via Activation of the SIRT3-LKB1-AMP-activated Kinase Pathway. Journal of Biological Chemistry. 285(5). 3133–3144. 339 indexed citations
2.
Pillai, Jyothish B., Senthilkumar B. Rajamohan, Sadhana Samant, et al.. (2008). Activation of SIRT1, a class III histone deacetylase, contributes to fructose feeding-mediated induction of the α-myosin heavy chain expression. American Journal of Physiology-Heart and Circulatory Physiology. 294(3). H1388–H1397. 39 indexed citations
3.
Pillai, Jyothish B., et al.. (2006). Poly(ADP-ribose) polymerase-1-deficient mice are protected from angiotensin II-induced cardiac hypertrophy. American Journal of Physiology-Heart and Circulatory Physiology. 291(4). H1545–H1553. 97 indexed citations
4.
Pillai, Jyothish B., et al.. (2005). Poly(ADP-ribose) Polymerase-1-dependent Cardiac Myocyte Cell Death during Heart Failure Is Mediated by NAD+ Depletion and Reduced Sir2α Deacetylase Activity. Journal of Biological Chemistry. 280(52). 43121–43130. 343 indexed citations
5.
Davis, Francesca, Jyothish B. Pillai, Madhu Gupta, & Mahesh P. Gupta. (2004). Concurrent opposite effects of trichostatin A, an inhibitor of histone deacetylases, on expression of α-MHC and cardiac tubulins: implication for gain in cardiac muscle contractility. American Journal of Physiology-Heart and Circulatory Physiology. 288(3). H1477–H1490. 40 indexed citations
6.
Pillai, Jyothish B., Hyde M. Russell, Jai Raman, Valluvan Jeevanandam, & Mahesh P. Gupta. (2004). Increased expression of poly(ADP-ribose) polymerase-1 contributes to caspase-independent myocyte cell death during heart failure. American Journal of Physiology-Heart and Circulatory Physiology. 288(2). H486–H496. 61 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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