Pankaj Tailor

2.9k total citations · 1 hit paper
32 papers, 2.4k citations indexed

About

Pankaj Tailor is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Pankaj Tailor has authored 32 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 12 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Pankaj Tailor's work include T-cell and B-cell Immunology (8 papers), Osteoarthritis Treatment and Mechanisms (7 papers) and Immune Cell Function and Interaction (6 papers). Pankaj Tailor is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Osteoarthritis Treatment and Mechanisms (7 papers) and Immune Cell Function and Interaction (6 papers). Pankaj Tailor collaborates with scholars based in Canada, United States and United Kingdom. Pankaj Tailor's co-authors include Douglas R. Green, Beni B. Wolf, Tomomi Kuwana, Dick D. Mosser, Richard I. Morimoto, Helen M. Beere, Artin Mahboubi, Gerald M. Cohen, Kelvin Cain and Tomas Mustelin and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Immunology.

In The Last Decade

Pankaj Tailor

31 papers receiving 2.4k citations

Hit Papers

Heat-shock protein 70 inhibits apoptosis by preventing re... 2000 2026 2008 2017 2000 400 800 1.2k

Peers

Pankaj Tailor
David W. Powell United States
Olivier Donzé Switzerland
Tae Jin Kim South Korea
Charles Perkins United States
David W. Powell United States
Pankaj Tailor
Citations per year, relative to Pankaj Tailor Pankaj Tailor (= 1×) peers David W. Powell

Countries citing papers authored by Pankaj Tailor

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Tailor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Tailor

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Tailor. A scholar is included among the top collaborators of Pankaj Tailor 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 Pankaj Tailor. Pankaj Tailor 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.
Choubey, Shruti Bhargava, et al.. (2025). Catalase-262C/T polymorphism and diabetic nephropathy in suburban Mumbai: A pilot study. International Journal of Diabetes in Developing Countries.
2.
Krawetz, Roman, Saleem Abubacker, Catherine Léonard, et al.. (2022). Proteoglycan 4 (PRG4) treatment enhances wound closure and tissue regeneration. npj Regenerative Medicine. 7(1). 32–32. 21 indexed citations
3.
Zhang, Chunfen, Franz J. Zemp, Keith C.K. Lau, et al.. (2017). Smac mimetics and oncolytic viruses synergize in driving anticancer T-cell responses through complementary mechanisms. Nature Communications. 8(1). 53 indexed citations
4.
Allan, Euan R.O., Rhiannon I. Campden, Pankaj Tailor, et al.. (2017). A role for cathepsin Z in neuroinflammation provides mechanistic support for an epigenetic risk factor in multiple sclerosis. Journal of Neuroinflammation. 14(1). 103–103. 46 indexed citations
5.
Hess, Ricarda, et al.. (2017). p21−/− mice exhibit enhanced bone regeneration after injury. BMC Musculoskeletal Disorders. 18(1). 435–435. 21 indexed citations
6.
Tailor, Pankaj, et al.. (2016). Identification of p21 inhibitors to enhance chondrogenesis in osteoarthritic synovial mesenchymal progenitor cells. Osteoarthritis and Cartilage. 24. S461–S461. 1 indexed citations
7.
Iqbal, Sheikh Muhammad Asher, Catherine Léonard, Pankaj Tailor, et al.. (2016). Lubricin/Proteoglycan 4 binds to and regulates the activity of Toll-Like Receptors In Vitro. Scientific Reports. 6(1). 18910–18910. 122 indexed citations
8.
Banderali, Umberto, et al.. (2015). Ion channel expression and function in normal and osteoarthritic human synovial fluid progenitor cells. Channels. 10(2). 148–157. 21 indexed citations
9.
Léonard, Catherine, Woo‐Yong Lee, Pankaj Tailor, et al.. (2015). Allogeneic Bone Marrow Transplant from MRL/MpJ Super-Healer Mice Does Not Improve Articular Cartilage Repair in the C57Bl/6 Strain. PLoS ONE. 10(6). e0131661–e0131661. 13 indexed citations
10.
Hess, Ricarda, Kate O’Brien, Pankaj Tailor, et al.. (2015). Increased levels of p21(CIP1/WAF1) correlate with decreased chondrogenic differentiation potential in synovial membrane progenitor cells.. Mechanisms of Ageing and Development. 149. 31–40. 16 indexed citations
11.
Wang, Jinguo, Sue Tsai, Bingye Han, Pankaj Tailor, & Pere Santamaría. (2012). Autoantigen Recognition Is Required for Recruitment of IGRP206–214-Autoreactive CD8+ T Cells but Is Dispensable for Tolerance. The Journal of Immunology. 189(6). 2975–2984. 6 indexed citations
12.
Tailor, Pankaj, Sue Tsai, Afshin Shameli, et al.. (2008). The Proline-Rich Sequence of CD3ε as an Amplifier of Low-Avidity TCR Signaling. The Journal of Immunology. 181(1). 243–255. 48 indexed citations
13.
Tailor, Pankaj, et al.. (1999). A novel isoform of the low molecular weight phosphotyrosine phosphatase, LMPTP‐C, arising from alternative mRNA splicing. European Journal of Biochemistry. 262(2). 277–282. 21 indexed citations
14.
Mustelin, Tomas, Johannes Brockdorff, Lars Rudbeck, et al.. (1999). The Next Wave. Cellular Signalling. 11(9). 637–650. 67 indexed citations
15.
Kasibhatla, Shailaja, et al.. (1999). Jun Kinase Phosphorylates and Regulates the DNA Binding Activity of an Octamer Binding Protein, T-Cell Factor β1. Molecular and Cellular Biology. 19(3). 2021–2031. 19 indexed citations
16.
Willebrand, Maria von, Scott Williams, Pankaj Tailor, & Tomas Mustelin. (1998). Phosphorylation of the Grb2- and Phosphatidylinositol 3-Kinase p85–binding p36/38 by Syk in Lck-Negative T Cells. Cellular Signalling. 10(6). 407–413. 21 indexed citations
17.
Willebrand, Maria von, Scott Williams, Manju Saxena, et al.. (1998). Modification of Phosphatidylinositol 3-Kinase SH2 Domain Binding Properties by Abl- or Lck-mediated Tyrosine Phosphorylation at Tyr-688. Journal of Biological Chemistry. 273(7). 3994–4000. 48 indexed citations
18.
Couture, Clément, Scott Williams, Nathalie Gauthier, Pankaj Tailor, & Tomas Mustelin. (1997). Role of Tyr518 and Tyr519 in the Regulation of Catalytic Activity and Substrate Phosphorylation by Syk Protein‐Tyrosine Kinase. European Journal of Biochemistry. 246(2). 447–451. 31 indexed citations
19.
Couture, Clément, Zhou Songyang, Thomas Jascur, et al.. (1996). Regulation of the Lck SH2 Domain by Tyrosine Phosphorylation. Journal of Biological Chemistry. 271(40). 24880–24884. 73 indexed citations
20.
Mustelin, Tomas, Scott Williams, Pankaj Tailor, et al.. (1995). Regulation of the p70zap tyrosine protein kinase in T cells by the CD45 phosphotyrosine phosphatase. European Journal of Immunology. 25(4). 942–946. 57 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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