Chitra Biswas
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 2%
- Immunology top 5%
- Cell Biology top 2%
- Co-authors
- Bryan P. TooleHiroaki KataokaKazuki NabeshimaStanley ZuckerJ GrossToshiya NakamuraHuichen GuoHuiming Guo
- Topics
- Proteoglycans and glycosaminoglycans research (10 papers)Glycosylation and Glycoproteins Research (7 papers)Peptidase Inhibition and Analysis (7 papers)
- Partner nations
- United StatesJapanArgentina
In The Last Decade
Chitra Biswas
26 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.9k
- Oncology 974
- Cancer Research 739
- Immunology 678
- Cell Biology 548
Countries citing papers authored by Chitra Biswas
This map shows the geographic impact of Chitra Biswas'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 Chitra Biswas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chitra Biswas more than expected).
Fields of papers citing papers by Chitra Biswas
This network shows the impact of papers produced by Chitra Biswas. 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 Chitra Biswas. The network helps show where Chitra Biswas may publish in the future.
Co-authorship network of co-authors of Chitra Biswas
This figure shows the co-authorship network connecting the top 25 collaborators of Chitra Biswas. A scholar is included among the top collaborators of Chitra Biswas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chitra Biswas. Chitra Biswas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 79 | |
| 3 | 288 | |
| 4 | 82 | |
| 5 | The human tumor cell-derived collagenase stimulatory factor (renamed EMMPRIN) is a member of the immunoglobulin superfamily.breakdown → | 634 |
| 6 | 90 | |
| 7 | Tumor cell-derived collagenase-stimulatory factor increases expression of interstitial collagenase, stromelysin, and 72-kDa gelatinase. | 204 |
| 8 | 10 | |
| 9 | 15 | |
| 10 | 54 | |
| 11 | 15 | |
| 12 | 24 | |
| 13 | Coordinate increase in collagenase mRNA and enzyme levels in human fibroblasts treated with the tumor cell factor, TCSF. | 19 |
| 14 | 20 | |
| 15 | 35 | |
| 16 | 25 | |
| 17 | 33 | |
| 18 | 169 | |
| 19 | 17 | |
| 20 | 35 |
About Chitra Biswas
Chitra Biswas is a scholar working on Cell Biology, Urology and Pharmacy, having authored 26 papers that have together received 2.6k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (10 papers), Glycosylation and Glycoproteins Research (7 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Immunology and Allergy (337 citations), Cancer Research (739 citations) and Oncology (974 citations). Chitra Biswas has collaborated with scholars based in United States, Japan and Argentina. Frequent co-authors include Bryan P. Toole, Hiroaki Kataoka, Kazuki Nabeshima, Stanley Zucker, J Gross, Toshiya Nakamura, Huichen Guo, Huiming Guo, Marion K. Gordon and Warren Knudson. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.