Rita Chakrabarti
- Co-authors
- Eri S. SrivatsanMarilene B. WangMysore S. VeenaHelen L. SteeleMaria M. LoTempioAlen N. CohenTirunelveli S. RamalingamNeil Kaplowitz
- Topics
- Cancer-related Molecular Pathways (4 papers)Virus-based gene therapy research (3 papers)T-cell and Retrovirus Studies (2 papers)
- Partner nations
- United StatesHong Kong
In The Last Decade
Rita Chakrabarti
19 papers receiving 531 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 263
- Oncology 133
- Molecular Medicine 113
- Cancer Research 103
- Epidemiology 76
Countries citing papers authored by Rita Chakrabarti
This map shows the geographic impact of Rita 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 Rita Chakrabarti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rita Chakrabarti more than expected).
Fields of papers citing papers by Rita Chakrabarti
This network shows the impact of papers produced by Rita 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 Rita Chakrabarti. The network helps show where Rita Chakrabarti may publish in the future.
Co-authorship network of co-authors of Rita Chakrabarti
This figure shows the co-authorship network connecting the top 25 collaborators of Rita Chakrabarti. A scholar is included among the top collaborators of Rita Chakrabarti 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 Rita Chakrabarti. Rita Chakrabarti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 30 | |
| 3 | 10 | |
| 4 | 21 | |
| 5 | 161 | |
| 6 | 14 | |
| 7 | 9 | |
| 8 | 23 | |
| 9 | 33 | |
| 10 | 80 | |
| 11 | 1 | |
| 12 | 26 | |
| 13 | 65 | |
| 14 | 9 | |
| 15 | 15 | |
| 16 | Recombination between feline exogenous and endogenous retroviral sequences generates tropism for cerebral endothelial cells. | 19 |
| 17 | Cytokines decrease glutaminase expression in human fibroblasts. | 10 |
| 18 | An extracellular protease derived from S-180 tumour cells in culture. | 1 |
| 19 | Regulation of active transport of monovalent cation across the animal cell plasma membranes by cytosolic regulatory proteins. | 1 |
About Rita Chakrabarti
Rita Chakrabarti is a scholar working on Otorhinolaryngology, Molecular Medicine and Oncology, having authored 19 papers that have together received 550 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Virus-based gene therapy research (3 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Molecular Medicine (113 citations), Cancer Research (103 citations) and Oncology (133 citations). Rita Chakrabarti has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Eri S. Srivatsan, Marilene B. Wang, Mysore S. Veena, Helen L. Steele, Maria M. LoTempio, Alen N. Cohen, Tirunelveli S. Ramalingam, Neil Kaplowitz, Ram Kannan and Diana Tang. Their work appears in journals such as Journal of Biological Chemistry, Oncogene and Brain Research.
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.