Arindom Chakraborty
- Oncology
- Molecular Biology
- Pediatrics, Perinatology and Child Health
- Neurology
- Public Health, Environmental and Occupational Health
- Co-authors
- Lang LiChien‐Wei ChiangCelia M. BridgesJodi SkilesRichard HoElizabeth WellsRaymond J. HutchinsonJamie L. Renbarger
- Topics
- Statistical Methods and Bayesian Inference (4 papers)Allergic Rhinitis and Sensitization (3 papers)Statistical Methods and Inference (3 papers)
- Cited by
- OncologyToxicologyHematology
- Partner nations
- IndiaUnited StatesBelgium
In The Last Decade
Arindom Chakraborty
18 papers receiving 336 citations
Peers
Comparison fields: 5 of 91
- Oncology 110
- Molecular Biology 80
- Pediatrics, Perinatology and Child Health 49
- Neurology 43
- Public Health, Environmental and Occupational Health 43
Countries citing papers authored by Arindom Chakraborty
This map shows the geographic impact of Arindom 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 Arindom Chakraborty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arindom Chakraborty more than expected).
Fields of papers citing papers by Arindom Chakraborty
This network shows the impact of papers produced by Arindom 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 Arindom Chakraborty. The network helps show where Arindom Chakraborty may publish in the future.
Co-authorship network of co-authors of Arindom Chakraborty
This figure shows the co-authorship network connecting the top 25 collaborators of Arindom Chakraborty. A scholar is included among the top collaborators of Arindom 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 Arindom Chakraborty. Arindom 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 | 2 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 39 | |
| 6 | 16 | |
| 7 | 14 | |
| 8 | 152 | |
| 9 | Experience of TBM Tunnelling in Himalaya – Prospects and Challenges | 1 |
| 10 | 3 | |
| 11 | 8 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 15 | |
| 15 | 8 | |
| 16 | 36 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 12 |
About Arindom Chakraborty
Arindom Chakraborty is a scholar working on Immunology and Allergy, Statistics and Probability and Otorhinolaryngology, having authored 19 papers that have together received 343 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (4 papers), Allergic Rhinitis and Sensitization (3 papers) and Statistical Methods and Inference (3 papers). The work is most often cited by research in Oncology (110 citations), Toxicology (13 citations) and Hematology (41 citations). Arindom Chakraborty has collaborated with scholars based in India, United States and Belgium. Frequent co-authors include Lang Li, Chien‐Wei Chiang, Celia M. Bridges, Jodi Skiles, Richard Ho, Elizabeth Wells, Raymond J. Hutchinson, Jamie L. Renbarger, Elizabeth Smith and Kashinath Bhattacharya. Their work appears in journals such as Statistics in Medicine, Microbiology and BMC Genomics.
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.