Shiv Pillai

23.7k total citations · 4 hit papers
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, Yoh Zen, Terumi Kamisawa 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

141 papers receiving 12.9k citations

Hit Papers

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

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiv Pillai United States 56 6.0k 3.7k 3.2k 3.1k 2.7k 146 13.2k
Aftab A. Ansari United States 78 6.3k 1.1× 1.9k 0.5× 7.0k 2.2× 2.2k 0.7× 4.1k 1.5× 436 21.0k
David Fiorentino United States 54 8.0k 1.3× 3.4k 0.9× 5.2k 1.6× 2.9k 0.9× 1.1k 0.4× 140 17.2k
Kiyoshi Takatsu Japan 77 11.8k 2.0× 1.8k 0.5× 2.2k 0.7× 4.7k 1.5× 1.9k 0.7× 343 21.0k
Peter Garred Denmark 71 11.2k 1.9× 1.5k 0.4× 2.5k 0.8× 2.5k 0.8× 1.1k 0.4× 416 17.2k
Christoph Loddenkemper Germany 65 5.5k 0.9× 1.1k 0.3× 1.9k 0.6× 3.7k 1.2× 1.5k 0.6× 270 14.8k
Marina Botto United Kingdom 67 10.0k 1.7× 2.3k 0.6× 1.8k 0.6× 2.9k 0.9× 674 0.2× 193 14.8k
Robert B. Nussenblatt United States 76 5.2k 0.9× 5.1k 1.4× 4.1k 1.3× 2.8k 0.9× 670 0.2× 435 25.1k
Mohamed R. Daha Netherlands 78 13.7k 2.3× 3.9k 1.0× 1.7k 0.5× 4.1k 1.3× 2.1k 0.8× 540 24.3k
Francesco Annunziato Italy 67 10.8k 1.8× 1.3k 0.4× 1.8k 0.6× 3.3k 1.0× 1.9k 0.7× 209 18.9k
Taco W. Kuijpers Netherlands 71 8.9k 1.5× 933 0.3× 2.6k 0.8× 4.0k 1.3× 2.1k 0.8× 478 17.8k

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

20 of 20 papers shown
1.
Eisenbarth, Stephanie C., Facundo D. Batista, Jason G. Cyster, et al.. (2025). A roadmap for defining “extrafollicular” B cell responses. Immunity. 58(11). 2627–2645. 1 indexed citations
2.
Azijli, Kaamar, Geng Xu, Shiv Pillai, et al.. (2025). HSP90 inhibition reverses resistance to TRAIL-induced apoptosis in non-small cell lung cancer cells. SHILAP Revista de lepidopterología. 2(3).
3.
Allard‐Chamard, Hugues, Grace J. Yuen, Marshall Karpel, et al.. (2024). Congenital T-cell activation impairs transitional-to-follicular B-cell maturation in humans. Blood Advances. 9(3). 520–532.
4.
Maehara, Takashi, Ryusuke Munemura, Atsushi Doi, et al.. (2023). Granzyme K– and amphiregulin-expressing cytotoxic T cells and activated extrafollicular B cells are potential drivers of IgG4-related disease. Journal of Allergy and Clinical Immunology. 153(4). 1095–1112. 15 indexed citations
5.
Mattoo, Hamid & Shiv Pillai. (2021). Idiopathic pulmonary fibrosis and systemic sclerosis: pathogenic mechanisms and therapeutic interventions. Cellular and Molecular Life Sciences. 78(14). 5527–5542. 28 indexed citations
6.
Mahajan, Vinay S., Hamid Mattoo, Na Sun, et al.. (2021). B1a and B2 cells are characterized by distinct CpG modification states at DNMT3A-maintained enhancers. Nature Communications. 12(1). 2208–2208. 17 indexed citations
7.
Daccache, Joe, Kichul Ko, Margaret Veselits, et al.. (2021). Innate-like self-reactive B cells infiltrate human renal allografts during transplant rejection. Nature Communications. 12(1). 4372–4372. 36 indexed citations
8.
Liu, Hang, Cory A. Perugino, Musie Ghebremichael, et al.. (2019). Disease Severity Linked to Increase in Autoantibody Diversity in IgG4‐Related Disease. Arthritis & Rheumatology. 72(4). 687–693. 46 indexed citations
9.
Mahajan, Vinay S., Ezana Demissie, Sudha Kumari, et al.. (2019). DOCK2 Sets the Threshold for Entry into the Virtual Memory CD8+ T Cell Compartment by Negatively Regulating Tonic TCR Triggering. The Journal of Immunology. 204(1). 49–57. 9 indexed citations
10.
Netravali, Ilka Arun, Annaiah Cariappa, Kathleen B. Yates, et al.. (2019). 9-O-acetyl sialic acid levels identify committed progenitors of plasmacytoid dendritic cells. Glycobiology. 29(12). 861–875. 1 indexed citations
11.
Farmer, Jocelyn R., Hugues Allard‐Chamard, Na Sun, et al.. (2019). Induction of metabolic quiescence defines the transitional to follicular B cell switch. Science Signaling. 12(604). 29 indexed citations
12.
Mahajan, Vinay S., et al.. (2018). Alterations in sialic-acid O -acetylation glycoforms during murine erythrocyte development. Glycobiology. 29(3). 222–228. 13 indexed citations
13.
Maehara, Takashi, Hamid Mattoo, Vinay S. Mahajan, et al.. (2018). The expansion in lymphoid organs of IL-4 + BATF + T follicular helper cells is linked to IgG4 class switching in vivo. Life Science Alliance. 1(1). e201800050–e201800050. 59 indexed citations
14.
Mahan, Alison E., et al.. (2014). IgG Glycosylation Is Programmed and Remembered after Immunization with TLR Stimulating Adjuvants. AIDS Research and Human Retroviruses. 30(S1). A65–A65. 2 indexed citations
15.
Leadbetter, Elizabeth A., Manfred Brigl, Petr A. Illarionov, et al.. (2008). NK T cells provide lipid antigen-specific cognate help for B cells. Proceedings of the National Academy of Sciences. 105(24). 8339–8344. 184 indexed citations
16.
Benatuil, Lorenzo, Joel Kaye, Nathalie Cretin, et al.. (2008). Ig Knock-In Mice Producing Anti-Carbohydrate Antibodies: Breakthrough of B Cells Producing Low Affinity Anti-Self Antibodies. The Journal of Immunology. 180(6). 3839–3848. 11 indexed citations
17.
Cariappa, Annaiah, Cristian Boboilă, Stewart T. Moran, et al.. (2007). The Recirculating B Cell Pool Contains Two Functionally Distinct, Long-Lived, Posttransitional, Follicular B Cell Populations. The Journal of Immunology. 179(4). 2270–2281. 61 indexed citations
19.
Chaudhuri, Subhra, et al.. (2000). Accelerated Proteasomal Degradation of Membrane Ig Heavy Chains. The Journal of Immunology. 164(9). 4713–4719. 12 indexed citations
20.
Cariappa, Annaiah, Bruce E. Sands, David G. Forcione, et al.. (1998). Analysis of MHC class II DP, DQ and DR alleles in Crohn’s disease. Gut. 43(2). 210–215. 33 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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