Sushmita Roy
- Aging top 1%
- Geriatrics and Gerontology top 1%
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics 24
- Bioinformatics and Genomic Networks 22
- Gene Regulatory Network Analysis 18
- Gene expression and cancer classification 13
- Fungal and yeast genetics research 11
- RNA Research and Splicing 9
- RNA and protein synthesis mechanisms 7
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications 7
- Genetics top 2%
- Co-authors
- Alireza Fotuhi SiahpiraniChristopher H. BeckerMargaret Werner‐WashburneDeborah ChasmanM. AnderleHua LinManolis KellisPeter C. Harris
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Sushmita Roy
127 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Aging 163
- Geriatrics and Gerontology 362
- Molecular Biology 3.8k
- Spectroscopy 620
- Genetics 914
Countries citing papers authored by Sushmita Roy
This map shows the geographic impact of Sushmita Roy'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 Sushmita Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushmita Roy more than expected).
Fields of papers citing papers by Sushmita Roy
This network shows the impact of papers produced by Sushmita Roy. 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 Sushmita Roy. The network helps show where Sushmita Roy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sushmita Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 4 | |
| 6 | 2021 | 11 | |
| 7 | 2021 | 4 | |
| 8 | 2018 | 28 | |
| 9 | 2015 | 113 | |
| 10 | 2015 | 145 | |
| 11 | 2011 | 74 | |
| 12 | 2011 | 305 | |
| 13 | Information-Theoretic Inference of Gene Networks Using Backward Elimination | 2010 | 34 |
| 14 | Detection of verotoxin genes in Escherichia coli isolates of chicken eggs collected from poultry farms and marketing channels. | 2009 | 1 |
| 15 | 2009 | 62 | |
| 16 | 2008 | 114 | |
| 17 | 2007 | 121 | |
| 18 | 2006 | 83 | |
| 19 | 2005 | 4 | |
| 20 | 2004 | 127 |
About Sushmita Roy
Sushmita Roy is a scholar working on Aging, Molecular Biology and Endocrinology, having authored 131 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (24 papers), Bioinformatics and Genomic Networks (22 papers), Gene Regulatory Network Analysis (18 papers), Gene expression and cancer classification (13 papers), Fungal and yeast genetics research (11 papers), RNA Research and Splicing (9 papers), RNA and protein synthesis mechanisms (7 papers) and Advanced Proteomics Techniques and Applications (7 papers). The work is most often cited by research in Aging (163 citations), Geriatrics and Gerontology (362 citations) and Molecular Biology (3.8k citations). Sushmita Roy has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Alireza Fotuhi Siahpirani, Christopher H. Becker, Margaret Werner‐Washburne, Deborah Chasman, M. Anderle, Hua Lin, Manolis Kellis, Peter C. Harris, Michael H. Hecht and Joshua J. Coon. Their work appears in journals such as Genome Research, Bioinformatics, Nature Communications, Nucleic Acids Research and Genome biology.
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.