Ambrish Roy
Impact in
- Molecular Biology top 1%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- vaccines and immunoinformatics approaches
- Genomics and Phylogenetic Studies
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 8
-
- Microbial Natural Products and Biosynthesis 6
- Co-authors
- Yang ZhangAlper KüçükuralJianyi YangJeffrey SkolnickDong XuJian ZhangBharath SrinivasanHongyi Zhou
- Journals
- Bioinformatics (2 papers)Journal of Visualized Experiments (2 papers)Nucleic Acids Research (2 papers)Journal of Pharmaceutical Sciences (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Ambrish Roy
21 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 5.2k
- Computational Theory and Mathematics 928
- Microbiology 311
- Biotechnology 358
- Infectious Diseases 573
Countries citing papers authored by Ambrish Roy
This map shows the geographic impact of Ambrish 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 Ambrish Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambrish Roy more than expected).
Fields of papers citing papers by Ambrish Roy
This network shows the impact of papers produced by Ambrish 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 Ambrish Roy. The network helps show where Ambrish Roy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ambrish 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 | 2021 | 16 | |
| 2 | 2018 | 32 | |
| 3 | 2018 | 51 | |
| 4 | 2015 | 24 | |
| 5 | 2015 | 34 | |
| 6 | 2014 | 42 | |
| 7 | 2014 | 41 | |
| 8 | Protein–ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment Hit paper breakdown → | 2013 | 747 |
| 9 | COFACTOR: an accurate comparative algorithm for structure-based protein function annotation Hit paper breakdown → | 2012 | 556 |
| 10 | BioLiP: a semi-manually curated database for biologically relevant ligand–protein interactions Hit paper breakdown → | 2012 | 566 |
| 11 | 2012 | 92 | |
| 12 | 2011 | 121 | |
| 13 | 2011 | 61 | |
| 14 | 2011 | 15 | |
| 15 | 2011 | 40 | |
| 16 | I-TASSER: a unified platform for automated protein structure and function prediction Hit paper breakdown → | 2010 | 5019 |
| 17 | 2010 | 1 | |
| 18 | 2009 | 26 | |
| 19 | 2009 | 8 | |
| 20 | 2009 | 6 |
About Ambrish Roy
Ambrish Roy is a scholar working on Computational Theory and Mathematics, Pharmacology, Molecular Biology, Molecular Medicine and Materials Chemistry, having authored 21 papers that have together received 7.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (14 papers), Computational Drug Discovery Methods (8 papers), Microbial Natural Products and Biosynthesis (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Bioinformatics and Genomic Networks (5 papers), RNA and protein synthesis mechanisms (4 papers), Enzyme Structure and Function (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Molecular Biology (5.2k citations), Computational Theory and Mathematics (928 citations), Microbiology (311 citations), Biotechnology (358 citations) and Infectious Diseases (573 citations). Ambrish Roy has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Yang Zhang, Alper Küçükural, Jianyi Yang, Jeffrey Skolnick, Dong Xu, Jian Zhang, Bharath Srinivasan, Hongyi Zhou, Mu Gao and Yunqi Li. Their work appears in journals such as Bioinformatics, Journal of Visualized Experiments, Nucleic Acids Research, Journal of Pharmaceutical Sciences and Journal of Proteome 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.