R. Chakraborty
- Co-authors
- K. SankaranarayananJin LiSérgio D.J. PenaAlec J. JeffreysJörg T. EpplenYu ZhongClaude PerreaultLambert Busque
- Topics
- DNA Repair Mechanisms (10 papers)Forensic and Genetic Research (10 papers)BRCA gene mutations in cancer (5 papers)
- Cited by
- GeneticsMolecular BiologyArcheology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEGenome Research
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
R. Chakraborty
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 123
- Genetics 725
- Molecular Biology 472
- Plant Science 135
- Radiology, Nuclear Medicine and Imaging 101
- Ecology 82
Countries citing papers authored by R. Chakraborty
This map shows the geographic impact of R. Chakraborty'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 R. Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Chakraborty more than expected).
Fields of papers citing papers by R. Chakraborty
This network shows the impact of papers produced by R. Chakraborty. 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 R. Chakraborty. The network helps show where R. Chakraborty may publish in the future.
Co-authorship network of co-authors of R. Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of R. Chakraborty. A scholar is included among the top collaborators of R. Chakraborty 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 R. Chakraborty. R. Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 5 | |
| 4 | 20 | |
| 5 | 33 | |
| 6 | 7 | |
| 7 | 47 | |
| 8 | 10 | |
| 9 | 42 | |
| 10 | 27 | |
| 11 | 6 | |
| 12 | 9 | |
| 13 | 43 | |
| 14 | 49 | |
| 15 | Distribution of repeat unit differences between alleles at tandem repeat microsatellite loci | 2 |
| 16 | 15 | |
| 17 | 3 | |
| 18 | 9 | |
| 19 | Dermatoglyphic variation among South American tribal populations and its association with marker gene, linguistic, and geographic distances. | 15 |
| 20 | Observations on the seasonal prevalence of adult anophelines near Dhanbad. | 1 |
About R. Chakraborty
R. Chakraborty is a scholar working on Genetics, Museology and Pathology and Forensic Medicine, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (10 papers), Forensic and Genetic Research (10 papers) and BRCA gene mutations in cancer (5 papers). The work is most often cited by research in Genetics (725 citations), Molecular Biology (472 citations) and Archeology (53 citations). R. Chakraborty has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include K. Sankaranarayanan, Jin Li, Sérgio D.J. Pena, Alec J. Jeffreys, Jörg T. Epplen, Yu Zhong, Claude Perreault, Lambert Busque, Emőke J. E. Szathmáry and M. R. Srinivasan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Genome 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.