Ambrish Roy

15.6k total citations · 4 hit papers
21 papers, 7.5k citations indexed

About

Ambrish Roy is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Ambrish Roy has authored 21 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 6 papers in Pharmacology. Recurrent topics in Ambrish Roy's work include Protein Structure and Dynamics (14 papers), Computational Drug Discovery Methods (8 papers) and Microbial Natural Products and Biosynthesis (6 papers). Ambrish Roy is often cited by papers focused on Protein Structure and Dynamics (14 papers), Computational Drug Discovery Methods (8 papers) and Microbial Natural Products and Biosynthesis (6 papers). Ambrish Roy collaborates with scholars based in United States, India and Switzerland. Ambrish Roy's co-authors include Yang Zhang, Alper Küçükural, Jianyi Yang, Jeffrey Skolnick, Dong Xu, Jian Zhang, Bharath Srinivasan, Hongyi Zhou, Mu Gao and Yunqi Li and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Ambrish Roy

21 papers receiving 7.4k citations

Hit Papers

I-TASSER: a unified platform for automated protein struct... 2010 2026 2015 2020 2010 2013 2012 2012 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ambrish Roy United States 17 5.2k 928 758 658 654 21 7.5k
David Eramian United States 7 6.0k 1.2× 677 0.7× 540 0.7× 813 1.2× 818 1.3× 8 8.3k
Benjamin Webb United States 19 5.2k 1.0× 722 0.8× 419 0.6× 608 0.9× 875 1.3× 28 7.1k
M. S. Madhusudhan India 28 6.6k 1.3× 745 0.8× 538 0.7× 838 1.3× 1.1k 1.7× 67 9.2k
Ben Webb United States 12 6.9k 1.3× 719 0.8× 585 0.8× 899 1.4× 1.1k 1.7× 13 9.5k
Lim Heo United States 23 6.1k 1.2× 588 0.6× 667 0.9× 707 1.1× 899 1.4× 38 8.3k
Marco Biasini Switzerland 8 4.7k 0.9× 441 0.5× 863 1.1× 630 1.0× 639 1.0× 10 7.2k
Florian Kiefer Switzerland 18 5.1k 1.0× 441 0.5× 908 1.2× 741 1.1× 877 1.3× 29 8.1k
Rosalba Lepore Italy 15 5.7k 1.1× 576 0.6× 1.3k 1.6× 814 1.2× 514 0.8× 27 9.3k
Rafal Gumienny Switzerland 10 6.2k 1.2× 630 0.7× 1.3k 1.8× 859 1.3× 586 0.9× 10 9.9k
Florian Heer Switzerland 3 5.3k 1.0× 521 0.6× 1.2k 1.6× 798 1.2× 441 0.7× 4 8.7k

Countries citing papers authored by Ambrish Roy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ambrish Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Ambrish Roy. A scholar is included among the top collaborators of Ambrish Roy 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 Ambrish Roy. Ambrish Roy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Smaili, Fatima Zohra, Shuye Tian, Ambrish Roy, et al.. (2021). QAUST: Protein Function Prediction Using Structure Similarity, Protein Interaction, and Functional Motifs. Genomics Proteomics & Bioinformatics. 19(6). 998–1011. 16 indexed citations
2.
Srinivasan, Bharath, et al.. (2018). Chemical space of Escherichia coli dihydrofolate reductase inhibitors: New approaches for discovering novel drugs for old bugs. Medicinal Research Reviews. 39(2). 684–705. 32 indexed citations
3.
Eimon, Peter M., Mostafa Ghannad‐Rezaie, Gianluca De Rienzo, et al.. (2018). Brain activity patterns in high-throughput electrophysiology screen predict both drug efficacies and side effects. Nature Communications. 9(1). 219–219. 51 indexed citations
4.
Skolnick, Jeffrey, Mu Gao, Ambrish Roy, Bharath Srinivasan, & Hongyi Zhou. (2015). Implications of the small number of distinct ligand binding pockets in proteins for drug discovery, evolution and biochemical function. Bioorganic & Medicinal Chemistry Letters. 25(6). 1163–1170. 24 indexed citations
5.
Roy, Ambrish, Bharath Srinivasan, & Jeffrey Skolnick. (2015). PoLi: A Virtual Screening Pipeline Based on Template Pocket and Ligand Similarity. Journal of Chemical Information and Modeling. 55(8). 1757–1770. 34 indexed citations
6.
Minie, Mark, Gaurav Chopra, Geetika Sethi, et al.. (2014). CANDO and the infinite drug discovery frontier. Drug Discovery Today. 19(9). 1353–1363. 42 indexed citations
7.
Roy, Ambrish & Jeffrey Skolnick. (2014). LIGSIFT: an open-source tool for ligand structural alignment and virtual screening. Bioinformatics. 31(4). 539–544. 41 indexed citations
8.
Yang, Jianyi, Ambrish Roy, & Yang Zhang. (2013). Protein–ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment. Bioinformatics. 29(20). 2588–2595. 747 indexed citations breakdown →
9.
Yang, Jianyi, Ambrish Roy, & Yang Zhang. (2012). BioLiP: a semi-manually curated database for biologically relevant ligand–protein interactions. Nucleic Acids Research. 41(D1). D1096–D1103. 566 indexed citations breakdown →
10.
Roy, Ambrish, Jianyi Yang, & Yang Zhang. (2012). COFACTOR: an accurate comparative algorithm for structure-based protein function annotation. Nucleic Acids Research. 40(W1). W471–W477. 556 indexed citations breakdown →
11.
Roy, Ambrish & Yang Zhang. (2012). Recognizing Protein-Ligand Binding Sites by Global Structural Alignment and Local Geometry Refinement. Structure. 20(6). 987–997. 92 indexed citations
12.
Menon, Rajasree, et al.. (2011). Functional Implications of Structural Predictions for Alternative Splice Proteins Expressed in Her2/neu–Induced Breast Cancers. Journal of Proteome Research. 10(12). 5503–5511. 40 indexed citations
13.
Xu, Dong, Jian Zhang, Ambrish Roy, & Yang Zhang. (2011). Automated protein structure modeling in CASP9 by I‐TASSER pipeline combined with QUARK‐based ab initio folding and FG‐MD‐based structure refinement. Proteins Structure Function and Bioinformatics. 79(S10). 147–160. 121 indexed citations
14.
Roy, Ambrish, et al.. (2011). A Protocol for Computer-Based Protein Structure and Function Prediction. Journal of Visualized Experiments. e3259–e3259. 61 indexed citations
15.
Rankin, Carolyn A., Ambrish Roy, Yang Zhang, & Mark L. Richter. (2011). Parkin, A Top Level Manager in the Cells Sanitation Department. PubMed. 5. 9–26. 15 indexed citations
16.
Somarelli, Jason A., et al.. (2010). A three‐dimensional model of the U1 small nuclear ribonucleoprotein particle. Entomological Research. 40(2). 104–112. 1 indexed citations
17.
Roy, Ambrish, Alper Küçükural, & Yang Zhang. (2010). I-TASSER: a unified platform for automated protein structure and function prediction. Nature Protocols. 5(4). 725–738. 5019 indexed citations breakdown →
18.
Roy, Ambrish, et al.. (2009). The Role of Covalent Dimerization on the Physical and Chemical Stability of the EC1 Domain of Human E-Cadherin. Journal of Pharmaceutical Sciences. 98(10). 3562–3574. 8 indexed citations
19.
Li, Yunqi, Ambrish Roy, & Yang Zhang. (2009). HAAD: A Quick Algorithm for Accurate Prediction of Hydrogen Atoms in Protein Structures. PLoS ONE. 4(8). e6701–e6701. 26 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026