Aroop Sircar
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
Papers in
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- Protein purification and stability 4
- Glycosylation and Glycoproteins Research 4
- Protein Structure and Dynamics 2
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Jeffrey J. Gray (7 shared papers)Sidhartha Chaudhury (3 shared papers)Arvind Sivasubramanian (2 shared papers)Jin Qi (2 shared papers)Bo Marelli (2 shared papers)Kin-Ming Lo (2 shared papers)Chunxiao Xu (2 shared papers)Laszlo Radvanyi (2 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (3 papers)Journal of Biological Chemistry (1 paper)PLoS Computational Biology (1 paper)Science Translational Medicine (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Aroop Sircar
10 papers receiving 986 citations
Aroop Sircar's Hit Papers
Peers
Comparison fields: 5 of 70
- Radiology, Nuclear Medicine and Imaging 355
- Oncology 335
- Immunology 259
- Molecular Biology 568
- Biotechnology 44
Countries citing papers authored by Aroop Sircar
This map shows the geographic impact of Aroop 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 Aroop Sircar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aroop Sircar more than expected).
Fields of papers citing papers by Aroop Sircar
This network shows the impact of papers produced by Aroop 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 Aroop Sircar. The network helps show where Aroop Sircar may publish in the future.
Co-authors
The 25 scholars most cited alongside Aroop 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 | Enhanced preclinical antitumor activity of M7824, a bifunctional fusion protein simultaneously targeting PD-L1 and TGF-β Hit paper breakdown → | 2018 | 415 |
| 2 | 2008 | 153 | |
| 3 | 2010 | 133 | |
| 4 | 2012 | 123 | |
| 5 | 2011 | 78 | |
| 6 | 2010 | 40 | |
| 7 | 2007 | 36 | |
| 8 | 2010 | 15 | |
| 9 | 2011 | 7 | |
| 10 | 2017 | 4 | |
| 11 | 1966 | 0 |
About Aroop Sircar
Aroop Sircar is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Computational Theory and Mathematics and Biotechnology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Protein purification and stability (4 papers), Glycosylation and Glycoproteins Research (4 papers), Cancer Research and Treatments (2 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Genetics and Neurodevelopmental Disorders (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (355 citations), Oncology (335 citations), Immunology (259 citations), Molecular Biology (568 citations) and Biotechnology (44 citations). Aroop Sircar has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Jeffrey J. Gray, Sidhartha Chaudhury, Arvind Sivasubramanian, Jin Qi, Bo Marelli, Kin-Ming Lo, Chunxiao Xu, Laszlo Radvanyi, Guozhong Qin and Yan Lan. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Biological Chemistry, PLoS Computational Biology, Science Translational Medicine and The Journal of Immunology.
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.