Shiv Pillai

375 total papers · 23.5k total citations
146 papers, 13.2k citations indexed

About

Shiv Pillai is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, Shiv Pillai has authored 146 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Immunology, 36 papers in Molecular Biology and 35 papers in Rheumatology. Recurrent topics in Shiv Pillai's work include T-cell and B-cell Immunology (41 papers), IgG4-Related and Inflammatory Diseases (33 papers) and Immune Cell Function and Interaction (33 papers). Shiv Pillai is often cited by papers focused on T-cell and B-cell Immunology (41 papers), IgG4-Related and Inflammatory Diseases (33 papers) and Immune Cell Function and Interaction (33 papers). Shiv Pillai collaborates with scholars based in United States, Japan and Italy. Shiv Pillai's co-authors include Andrew H. Lichtman, Abul K. Abbas, Annaiah Cariappa, John H. Stone, Hamid Mattoo, Vinay S. Mahajan, Vikram Deshpande, Terumi Kamisawa, Yoh Zen and Zachary S. Wallace and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

Shiv Pillai

140 papers receiving 12.8k citations

Hit Papers

Cellular and Molecular Im... 1994 2026 2004 2015 1994 2014 2015 2014 500 1000 1.5k 2.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shiv Pillai 6.0k 3.7k 3.1k 3.1k 2.7k 146 13.2k
David Fiorentino 8.0k 1.3× 3.4k 0.9× 5.1k 1.6× 2.9k 0.9× 1.1k 0.4× 139 17.2k
Maripat Corr 7.0k 1.2× 2.2k 0.6× 1.4k 0.4× 5.1k 1.6× 981 0.4× 178 14.4k
John R. David 10.2k 1.7× 1.7k 0.5× 2.7k 0.8× 1.9k 0.6× 1.1k 0.4× 243 17.9k
Kiyoshi Takatsu 11.8k 2.0× 1.8k 0.5× 2.2k 0.7× 4.7k 1.5× 1.9k 0.7× 343 20.9k
Aftab A. Ansari 6.3k 1.1× 1.9k 0.5× 7.0k 2.2× 2.2k 0.7× 4.1k 1.5× 436 21.0k
Virginia Pascual 7.2k 1.2× 2.3k 0.6× 1.3k 0.4× 2.3k 0.7× 673 0.2× 98 10.6k
Marina Botto 10.0k 1.7× 2.3k 0.6× 1.8k 0.6× 2.9k 0.9× 672 0.2× 193 14.8k
Christoph Loddenkemper 5.5k 0.9× 1.1k 0.3× 1.9k 0.6× 3.7k 1.2× 1.5k 0.6× 270 14.8k
Atul K. Bhan 9.1k 1.5× 1.5k 0.4× 3.3k 1.0× 3.2k 1.0× 2.0k 0.8× 235 19.5k
Francesco Annunziato 10.8k 1.8× 1.3k 0.4× 1.8k 0.6× 3.3k 1.0× 1.9k 0.7× 209 18.8k

Countries citing papers authored by Shiv Pillai

Since Specialization
Citations

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

Fields of papers citing papers by Shiv Pillai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiv Pillai

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

All Works

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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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