Abhishek D. Garg
- Immunology top 0.2%
- Immunotherapy and Immune Responses 32
- Phagocytosis and Immune Regulation 20
- Immune Cell Function and Interaction 16
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers 23
- CAR-T cell therapy research 10
- Physiology top 0.5%
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 18
- Biotechnology top 0.5%
-
- Autophagy in Disease and Therapy 19
-
- Nanoplatforms for cancer theranostics 13
- Co-authors
- Patrizia AgostinisDmitri V. KryskoPeter VandenabeeleOlga KryskoAgnieszka KaczmarekTom VerfaillieAleksandra M. DudekJakub Gołąb
- Cited by
- ImmunologyOncologyPhysiology
- Journals
- Nature Medicine (1 paper)Nature Communications (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- BelgiumUnited StatesIndia
In The Last Decade
Abhishek D. Garg
113 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Immunology 6.2k
- Oncology 4.2k
- Physiology 525
- Cell Biology 1.6k
- Biotechnology 664
Countries citing papers authored by Abhishek D. Garg
This map shows the geographic impact of Abhishek D. Garg'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 Abhishek D. Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek D. Garg more than expected).
Fields of papers citing papers by Abhishek D. Garg
This network shows the impact of papers produced by Abhishek D. Garg. 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 Abhishek D. Garg. The network helps show where Abhishek D. Garg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Abhishek D. Garg, 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 | 22 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 48 | |
| 8 | 2021 | 11 | |
| 9 | A single-cell map of intratumoral changes during anti-PD1 treatment of patients with breast cancerbreakdown → | 2021 | 442 |
| 10 | 2021 | 23 | |
| 11 | 2017 | 341 | |
| 12 | 2017 | 75 | |
| 13 | 2017 | 114 | |
| 14 | 2015 | 84 | |
| 15 | 2015 | 196 | |
| 16 | 2014 | 108 | |
| 17 | 2013 | 222 | |
| 18 | PERK IS REQUIRED AT THE ER-TO-MITOCHONDRIA CONTACT SITES TO CONVEY APOPTOSIS FOLLOWING ROS-MEDIATED ER STRESS | 2012 | 1 |
| 19 | 2011 | 121 | |
| 20 | 2011 | 14 |
About Abhishek D. Garg
Abhishek D. Garg is a scholar working on Immunology, Physiology and Cell Biology, having authored 117 papers that have together received 14.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (32 papers), Cancer Immunotherapy and Biomarkers (23 papers), Phagocytosis and Immune Regulation (20 papers), Autophagy in Disease and Therapy (19 papers), Endoplasmic Reticulum Stress and Disease (18 papers), Immune Cell Function and Interaction (16 papers), Nanoplatforms for cancer theranostics (13 papers) and CAR-T cell therapy research (10 papers). The work is most often cited by research in Immunology (6.2k citations), Oncology (4.2k citations) and Physiology (525 citations). Abhishek D. Garg has collaborated with scholars based in Belgium, United States and India. Frequent co-authors include Patrizia Agostinis, Dmitri V. Krysko, Peter Vandenabeele, Olga Krysko, Agnieszka Kaczmarek, Tom Verfaillie, Aleksandra M. Dudek, Jakub Gołąb, Marco B.E. Schaaf and Noemí Rubio. Their work appears in journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.
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.