Jayaram Kancherla
- Computational Theory and Mathematics top 2%
- Health, Toxicology and Mutagenesis top 5%
- Molecular Biology
- Small Animals top 5%
- Materials Chemistry
- Co-authors
- Ann M. RichardChris GrulkeKeith A. HouckGrace PatlewiczKamel MansouriPatra VolarathMatthew T. MartinRichard Judson
- Topics
- Gene expression and cancer classification (4 papers)Single-cell and spatial transcriptomics (3 papers)Effects and risks of endocrine disrupting chemicals (2 papers)
- Cited by
- Health, Toxicology and MutagenesisChemical Health and SafetyComputational Theory and Mathematics
- Partner nations
- United StatesIndia
In The Last Decade
Jayaram Kancherla
9 papers receiving 520 citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Computational Theory and Mathematics 209
- Health, Toxicology and Mutagenesis 203
- Molecular Biology 193
- Small Animals 79
- Materials Chemistry 77
Countries citing papers authored by Jayaram Kancherla
This map shows the geographic impact of Jayaram Kancherla'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 Jayaram Kancherla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayaram Kancherla more than expected).
Fields of papers citing papers by Jayaram Kancherla
This network shows the impact of papers produced by Jayaram Kancherla. 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 Jayaram Kancherla. The network helps show where Jayaram Kancherla may publish in the future.
Co-authorship network of co-authors of Jayaram Kancherla
This figure shows the co-authorship network connecting the top 25 collaborators of Jayaram Kancherla. A scholar is included among the top collaborators of Jayaram Kancherla 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 Jayaram Kancherla. Jayaram Kancherla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 22 | |
| 9 | 6 | |
| 10 | ToxCast Chemical Landscape: Paving the Road to 21st Century Toxicologybreakdown → | 480 |
About Jayaram Kancherla
Jayaram Kancherla is a scholar working on Cancer Research, Biophysics and Health, Toxicology and Mutagenesis, having authored 10 papers that have together received 532 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Single-cell and spatial transcriptomics (3 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (203 citations), Chemical Health and Safety (9 citations) and Computational Theory and Mathematics (209 citations). Jayaram Kancherla has collaborated with scholars based in United States and India. Frequent co-authors include Ann M. Richard, Chris Grulke, Keith A. Houck, Grace Patlewicz, Kamel Mansouri, Patra Volarath, Matthew T. Martin, Richard Judson, Inthirany Thillainadarajah and Chihae Yang. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and Bioinformatics.
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.