Avinash Bhandoola
- Immunology top 0.1%
- Immune Cell Function and Interaction 65
- T-cell and B-cell Immunology 60
- IL-33, ST2, and ILC Pathways 25
- Immunotherapy and Immune Responses 24
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 19
- Oncology top 1%
- CAR-T cell therapy research 10
- Chemokine receptors and signaling 10
- Molecular Biology top 2%
- Cell Biology top 2%
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- Eosinophilic Esophagitis 14
- Co-authors
- J. Jeremiah BellQi YangArivazhagan SambandamBenjamin A. SchwarzIvan MaillardValerie P. ZediakDaniel A. ZlotoffMaria Elena De Obaldia
- Cited by
- ImmunologyHematologyOncology
- Partner nations
- United StatesFranceCanada
In The Last Decade
Avinash Bhandoola
121 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Immunology 6.5k
- Hematology 1.2k
- Oncology 1.9k
- Molecular Biology 2.9k
- Cell Biology 524
Countries citing papers authored by Avinash Bhandoola
This map shows the geographic impact of Avinash Bhandoola'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 Avinash Bhandoola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avinash Bhandoola more than expected).
Fields of papers citing papers by Avinash Bhandoola
This network shows the impact of papers produced by Avinash Bhandoola. 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 Avinash Bhandoola. The network helps show where Avinash Bhandoola may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Avinash Bhandoola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 19 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 52 | |
| 4 | 2022 | 14 | |
| 5 | 2021 | 7 | |
| 6 | 2020 | 34 | |
| 7 | TOX and TOX2 transcription factors cooperate with NR4A transcription factors to impose CD8 + T cell exhaustionbreakdown → | 2019 | 480 |
| 8 | 2019 | 82 | |
| 9 | 2016 | 79 | |
| 10 | 2015 | 128 | |
| 11 | 2015 | 133 | |
| 12 | 2015 | 88 | |
| 13 | 2010 | 31 | |
| 14 | 2007 | 139 | |
| 15 | 2006 | 285 | |
| 16 | 2006 | 162 | |
| 17 | 2005 | 32 | |
| 18 | 2005 | 18 | |
| 19 | 2003 | 61 | |
| 20 | 1995 | 12 |
About Avinash Bhandoola
Avinash Bhandoola is a scholar working on Immunology, Hematology and Oncology, having authored 122 papers that have together received 9.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (65 papers), T-cell and B-cell Immunology (60 papers), IL-33, ST2, and ILC Pathways (25 papers), Immunotherapy and Immune Responses (24 papers), Hematopoietic Stem Cell Transplantation (19 papers), Eosinophilic Esophagitis (14 papers), CAR-T cell therapy research (10 papers) and Chemokine receptors and signaling (10 papers). The work is most often cited by research in Immunology (6.5k citations), Hematology (1.2k citations) and Oncology (1.9k citations). Avinash Bhandoola has collaborated with scholars based in United States, France and Canada. Frequent co-authors include J. Jeremiah Bell, Qi Yang, Arivazhagan Sambandam, Benjamin A. Schwarz, Ivan Maillard, Valerie P. Zediak, Daniel A. Zlotoff, Maria Elena De Obaldia, Warren S. Pear and Paul E. Love. Their work appears in journals such as Blood, Immunity, The Journal of Immunology, The Journal of Experimental Medicine and Nature Immunology.
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.