Kaberi Das
- Environmental Chemistry top 0.5%
- Health, Toxicology and Mutagenesis top 1%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Christopher LauBarbara D. AbbottCarmen R. WoodMitchell B. RosenStanley BaroneJ. Christopher CortonRobert D. ZehrMark J. Strynar
- Topics
- Per- and polyfluoroalkyl substances research (17 papers)Effects and risks of endocrine disrupting chemicals (9 papers)Toxic Organic Pollutants Impact (8 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsNeuroscienceJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesIndiaSingapore
In The Last Decade
Kaberi Das
57 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 136
- Environmental Chemistry 1.2k
- Health, Toxicology and Mutagenesis 975
- Molecular Biology 483
- Pediatrics, Perinatology and Child Health 378
- Cellular and Molecular Neuroscience 353
Countries citing papers authored by Kaberi Das
This map shows the geographic impact of Kaberi Das'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 Kaberi Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaberi Das more than expected).
Fields of papers citing papers by Kaberi Das
This network shows the impact of papers produced by Kaberi Das. 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 Kaberi Das. The network helps show where Kaberi Das may publish in the future.
Co-authorship network of co-authors of Kaberi Das
This figure shows the co-authorship network connecting the top 25 collaborators of Kaberi Das. A scholar is included among the top collaborators of Kaberi Das 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 Kaberi Das. Kaberi Das 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 | 1 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 191 | |
| 8 | HYBRIDIZED UNIVARIATE AND MULTIVARIATE FILTER BASED APPROACHES FOR GENE SELECTION | 4 |
| 9 | 6 | |
| 10 | 39 | |
| 11 | 33 | |
| 12 | 76 | |
| 13 | 65 | |
| 14 | 56 | |
| 15 | 2 | |
| 16 | 98 | |
| 17 | 95 | |
| 18 | 64 | |
| 19 | 9 | |
| 20 | 41 |
About Kaberi Das
Kaberi Das is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis and Behavioral Neuroscience, having authored 61 papers that have together received 2.4k indexed citations. Recurring topics across this work include Per- and polyfluoroalkyl substances research (17 papers), Effects and risks of endocrine disrupting chemicals (9 papers) and Toxic Organic Pollutants Impact (8 papers). The work is most often cited by research in Environmental Chemistry (1.2k citations), Health, Toxicology and Mutagenesis (975 citations) and Developmental Neuroscience (132 citations). Kaberi Das has collaborated with scholars based in United States, India and Singapore. Frequent co-authors include Christopher Lau, Barbara D. Abbott, Carmen R. Wood, Mitchell B. Rosen, Stanley Barone, J. Christopher Corton, Robert D. Zehr, Mark J. Strynar, Andrew B. Lindstrom and Judith E. Schmid. Their work appears in journals such as Biochemical and Biophysical Research Communications, Neuroscience and Journal of Pharmacology and Experimental Therapeutics.
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.