Sundar Jagannath
- Hematology top 0.01%
- Multiple Myeloma Research and Treatments 498
- Hematopoietic Stem Cell Transplantation 52
- Oncology top 0.05%
- Cancer Treatment and Pharmacology 95
- Peptidase Inhibition and Analysis 83
- CAR-T cell therapy research 80
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research 65
- Molecular Biology top 0.2%
- Protein Degradation and Inhibitors 215
- Ubiquitin and proteasome pathways 39
- Pathology and Forensic Medicine top 0.2%
- Co-authors
- Bart BarlogieGuido TricotDavid S. SiegelDavid H. VesoleKenneth C. AndersonPaul G. RichardsonAmitabha MazumderJohn Crowley
- Cited by
- HematologyOncologyGenetics
- Journals
- New England Journal of Medicine (3 papers)Nature Medicine (1 paper)The Journal of Experimental Medicine (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Sundar Jagannath
603 papers receiving 20.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Hematology 13.9k
- Oncology 10.8k
- Genetics 2.4k
- Molecular Biology 10.7k
- Pathology and Forensic Medicine 2.6k
Countries citing papers authored by Sundar Jagannath
This map shows the geographic impact of Sundar Jagannath'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 Sundar Jagannath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sundar Jagannath more than expected).
Fields of papers citing papers by Sundar Jagannath
This network shows the impact of papers produced by Sundar Jagannath. 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 Sundar Jagannath. The network helps show where Sundar Jagannath may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sundar Jagannath, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 0 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 27 | |
| 12 | 2020 | 2 | |
| 13 | 2019 | 59 | |
| 14 | 2019 | 31 | |
| 15 | 2019 | 11 | |
| 16 | 2018 | 29 | |
| 17 | 2016 | 27 | |
| 18 | 2013 | 166 | |
| 19 | 2012 | 311 | |
| 20 | 1994 | 3 |
About Sundar Jagannath
Sundar Jagannath is a scholar working on Hematology, Oncology and Genetics, having authored 626 papers that have together received 21.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (498 papers), Protein Degradation and Inhibitors (215 papers), Cancer Treatment and Pharmacology (95 papers), Peptidase Inhibition and Analysis (83 papers), CAR-T cell therapy research (80 papers), Chronic Lymphocytic Leukemia Research (65 papers), Hematopoietic Stem Cell Transplantation (52 papers) and Ubiquitin and proteasome pathways (39 papers). The work is most often cited by research in Hematology (13.9k citations), Oncology (10.8k citations) and Genetics (2.4k citations). Sundar Jagannath has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Bart Barlogie, Guido Tricot, David S. Siegel, David H. Vesole, Kenneth C. Anderson, Paul G. Richardson, Amitabha Mazumder, John Crowley, Sagar Lonial and Nikhil C. Munshi. Their work appears in journals such as New England Journal of Medicine, Nature Medicine and The Journal of Experimental Medicine.
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.