Ranjan Sircar
Impact in
- Oncology top 10%
- CAR-T cell therapy research
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 9
- Oncology 8
- CAR-T cell therapy research 8
- Co-authors
- Christoph Pohl (9 shared papers)Andreas Hombach (9 shared papers)Hinrich Abken (7 shared papers)Christoph Heuser (6 shared papers)Volker Diehl (6 shared papers)Wolfgang Kruis (5 shared papers)Claudia Heuser (3 shared papers)Mark A. Jensen (1 shared paper)
- Journals
- Journal of Immunotherapy (2 papers)Protein Engineering Design and Selection (1 paper)Clinical & Experimental Immunology (1 paper)Cancer Treatment Reviews (1 paper)Gastroenterology (1 paper)
- Partner nations
- GermanySwitzerland
In The Last Decade
Ranjan Sircar
11 papers receiving 347 citations
Peers
Comparison fields: 5 of 27
- Oncology 288
- Immunology 156
- Radiology, Nuclear Medicine and Imaging 95
- Genetics 97
- Pathology and Forensic Medicine 27
Countries citing papers authored by Ranjan Sircar
This map shows the geographic impact of Ranjan Sircar'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 Ranjan Sircar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranjan Sircar more than expected).
Fields of papers citing papers by Ranjan Sircar
This network shows the impact of papers produced by Ranjan Sircar. 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 Ranjan Sircar. The network helps show where Ranjan Sircar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ranjan Sircar, 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 | 1999 | 85 | |
| 2 | An anti-CD30 chimeric receptor that mediates CD3-zeta-independent T-cell activation against Hodgkin's lymphoma cells in the presence of soluble CD30. | 1998 | 84 |
| 3 | 1997 | 57 | |
| 4 | 1999 | 45 | |
| 5 | 2013 | 17 | |
| 6 | 1998 | 16 | |
| 7 | 1997 | 15 | |
| 8 | 1997 | 14 | |
| 9 | 1998 | 13 | |
| 10 | 2018 | 6 | |
| 11 | 1997 | 3 |
About Ranjan Sircar
Ranjan Sircar is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Immunology, Molecular Biology and Genetics, having authored 11 papers that have together received 355 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), CAR-T cell therapy research (8 papers), Chronic Lymphocytic Leukemia Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Immunotherapy and Immune Responses (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Nanowire Synthesis and Applications (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Oncology (288 citations), Immunology (156 citations), Radiology, Nuclear Medicine and Imaging (95 citations), Genetics (97 citations) and Pathology and Forensic Medicine (27 citations). Ranjan Sircar has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Christoph Pohl, Andreas Hombach, Hinrich Abken, Christoph Heuser, Volker Diehl, Wolfgang Kruis, Claudia Heuser, Mark A. Jensen, Olaf Mundigl and Ulrich Brinkmann. Their work appears in journals such as Journal of Immunotherapy, Protein Engineering Design and Selection, Clinical & Experimental Immunology, Cancer Treatment Reviews and Gastroenterology.
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.