D Banerjee
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
-
- Cancer-related Molecular Pathways
- CAR-T cell therapy research
Papers in
-
- Ubiquitin and proteasome pathways 2
- Oncology 6
- Cancer-related Molecular Pathways 3
- Polyomavirus and related diseases 2
- Co-authors
- Shin Mineishi (5 shared papers)Joseph R. Bertino (5 shared papers)Eli Gilboa (3 shared papers)Moore Ma (2 shared papers)Michael Flaßhove (2 shared papers)Barry Schweitzer (2 shared papers)Daniel Hochhauser (2 shared papers)W Li (1 shared paper)
- Journals
- Blood (5 papers)Human Gene Therapy (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Acta Biochimica Polonica (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
D Banerjee
14 papers receiving 545 citations
Peers
Comparison fields: 5 of 58
- Hematology 80
- Oncology 179
- Endocrinology 35
- Genetics 169
- Molecular Biology 334
Countries citing papers authored by D Banerjee
This map shows the geographic impact of D Banerjee'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 D Banerjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Banerjee more than expected).
Fields of papers citing papers by D Banerjee
This network shows the impact of papers produced by D Banerjee. 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 D Banerjee. The network helps show where D Banerjee may publish in the future.
Co-authors
The 25 scholars most cited alongside D Banerjee, 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 | 1995 | 92 | |
| 2 | 1995 | 89 | |
| 3 | 1999 | 79 | |
| 4 | 1992 | 52 | |
| 5 | 1994 | 52 | |
| 6 | Genasense (Genta Inc). | 2001 | 44 |
| 7 | 1994 | 39 | |
| 8 | 1990 | 39 | |
| 9 | 1995 | 36 | |
| 10 | Potential of the proteasomal inhibitor MG-132 as an anticancer agent, alone and in combination. | 2002 | 25 |
| 11 | 1999 | 3 | |
| 12 | 1999 | 3 | |
| 13 | 1995 | 3 | |
| 14 | 2024 | 1 |
About D Banerjee
D Banerjee is a scholar working on Molecular Biology, Oncology, Genetics, Public Health, Environmental and Occupational Health and Immunology, having authored 14 papers that have together received 557 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Acute Lymphoblastic Leukemia research (3 papers), Cancer-related Molecular Pathways (3 papers), Ubiquitin and proteasome pathways (2 papers), Polyomavirus and related diseases (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), T-cell and Retrovirus Studies (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Hematology (80 citations), Oncology (179 citations), Endocrinology (35 citations), Genetics (169 citations) and Molecular Biology (334 citations). D Banerjee has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Shin Mineishi, Joseph R. Bertino, Eli Gilboa, Moore Ma, Michael Flaßhove, Barry Schweitzer, Daniel Hochhauser, W Li, Zbigniew Zieliński and Ronan M. Kelly. Their work appears in journals such as Blood, Human Gene Therapy, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Acta Biochimica Polonica.
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.