Suparno Chakrabarti
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 55
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments 8
- Epidemiology top 2%
- Cytomegalovirus and herpesvirus research 17
- Immunology top 5%
- Immune Cell Function and Interaction 27
- T-cell and B-cell Immunology 14
- Infectious Diseases top 2%
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- Polyomavirus and related diseases 18
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- Virus-based gene therapy research 8
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- Acute Lymphoblastic Leukemia research 7
- Co-authors
- Chris FeganDonald MilliganHusam OsmanDW MilliganSarita Rani JaiswalK.E. CollinghamKathryn E. CollinghamVivien Mautner
- Journals
- Bone Marrow Transplantation (20 papers)Biology of Blood and Marrow Transplantation (16 papers)Blood (6 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Suparno Chakrabarti
86 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 87
- Hematology 1.1k
- Transplantation 102
- Epidemiology 1.2k
- Immunology 702
- Infectious Diseases 597
Countries citing papers authored by Suparno Chakrabarti
This map shows the geographic impact of Suparno Chakrabarti'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 Suparno Chakrabarti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suparno Chakrabarti more than expected).
Fields of papers citing papers by Suparno Chakrabarti
This network shows the impact of papers produced by Suparno Chakrabarti. 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 Suparno Chakrabarti. The network helps show where Suparno Chakrabarti may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suparno Chakrabarti, 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 | 2023 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 10 | |
| 5 | 2020 | 9 | |
| 6 | 2019 | 18 | |
| 7 | 2019 | 4 | |
| 8 | 2019 | 6 | |
| 9 | 2018 | 40 | |
| 10 | 2017 | 39 | |
| 11 | 2017 | 51 | |
| 12 | 2016 | 15 | |
| 13 | 2009 | 100 | |
| 14 | 2007 | 48 | |
| 15 | 2007 | 5 | |
| 16 | 2006 | 45 | |
| 17 | 2003 | 20 | |
| 18 | 2003 | 4 | |
| 19 | 2003 | 105 | |
| 20 | 2000 | 103 |
About Suparno Chakrabarti
Suparno Chakrabarti is a scholar working on Hematology, Transplantation and Immunology, having authored 89 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (55 papers), Immune Cell Function and Interaction (27 papers), Polyomavirus and related diseases (18 papers), Cytomegalovirus and herpesvirus research (17 papers), T-cell and B-cell Immunology (14 papers), Virus-based gene therapy research (8 papers), Renal Transplantation Outcomes and Treatments (8 papers) and Acute Lymphoblastic Leukemia research (7 papers). The work is most often cited by research in Hematology (1.1k citations), Transplantation (102 citations) and Epidemiology (1.2k citations). Suparno Chakrabarti has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Chris Fegan, Donald Milligan, Husam Osman, DW Milligan, Sarita Rani Jaiswal, K.E. Collingham, Kathryn E. Collingham, Vivien Mautner, Paul Moss and G Hale. Their work appears in journals such as Bone Marrow Transplantation, Biology of Blood and Marrow Transplantation, Blood, Transplantation and Cellular Therapy and British Journal of Haematology.
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.