Andrew Chatr‐aryamontri

11.7k total citations · 6 hit papers
29 papers, 5.5k citations indexed

About

Andrew Chatr‐aryamontri is a scholar working on Molecular Biology, Artificial Intelligence and Pharmacology. According to data from OpenAlex, Andrew Chatr‐aryamontri has authored 29 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 7 papers in Artificial Intelligence and 3 papers in Pharmacology. Recurrent topics in Andrew Chatr‐aryamontri's work include Bioinformatics and Genomic Networks (19 papers), Biomedical Text Mining and Ontologies (15 papers) and Semantic Web and Ontologies (7 papers). Andrew Chatr‐aryamontri is often cited by papers focused on Bioinformatics and Genomic Networks (19 papers), Biomedical Text Mining and Ontologies (15 papers) and Semantic Web and Ontologies (7 papers). Andrew Chatr‐aryamontri collaborates with scholars based in United States, Canada and Italy. Andrew Chatr‐aryamontri's co-authors include Mike Tyers, Kara Dolinski, Rose Oughtred, Jennifer Rust, Lorrie Boucher, Bobby‐Joe Breitkreutz, Christie Chang, Chris Stark, Nadine K. Kolas and Arnaud Céol and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Blood.

In The Last Decade

Andrew Chatr‐aryamontri

27 papers receiving 5.4k citations

Hit Papers

The BioGRID database: A ... 2006 2026 2012 2019 2020 2018 2006 2012 2016 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions
    2020 949 citations Rose Oughtred, Jennifer Rust et al. profile →
  2. The BioGRID interaction database: 2019 update
    2018 934 citations Rose Oughtred, Chris Stark et al. Nucleic Acids Research profile →
  3. MINT: the Molecular INTeraction database
    2006 759 citations Andrew Chatr‐aryamontri, Arnaud Céol et al. Nucleic Acids Research profile →
  4. The BioGRID interaction database: 2013 update
    2012 728 citations Andrew Chatr‐aryamontri, Bobby‐Joe Breitkreutz et al. Nucleic Acids Research profile →
  5. The BioGRID interaction database: 2017 update
    2016 705 citations Andrew Chatr‐aryamontri, Rose Oughtred et al. Nucleic Acids Research profile →
  6. The BioGRID Interaction Database: 2011 update
    2010 681 citations C. Stark, Bobby‐Joe Breitkreutz et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Chatr‐aryamontri United States 18 4.7k 861 463 386 351 29 5.5k
Rose Oughtred United States 18 4.8k 1.0× 884 1.0× 500 1.1× 401 1.0× 350 1.0× 24 5.6k
Bobby‐Joe Breitkreutz Canada 14 5.3k 1.1× 803 0.9× 493 1.1× 547 1.4× 428 1.2× 16 6.2k
Lorrie Boucher Canada 15 5.0k 1.1× 805 0.9× 450 1.0× 582 1.5× 348 1.0× 19 5.8k
Chris Stark Canada 10 4.4k 0.9× 630 0.7× 395 0.9× 577 1.5× 313 0.9× 12 5.1k
Jennifer Rust United States 9 3.4k 0.7× 641 0.7× 371 0.8× 323 0.8× 314 0.9× 11 4.1k
C. Stark Canada 6 3.6k 0.8× 684 0.8× 358 0.8× 340 0.9× 197 0.6× 7 4.3k
David R. Westhead United Kingdom 42 3.5k 0.7× 846 1.0× 311 0.7× 191 0.5× 250 0.7× 120 4.8k
Andreas Ruepp Germany 26 4.2k 0.9× 609 0.7× 397 0.9× 404 1.0× 465 1.3× 52 5.1k
Christie Chang United States 11 2.9k 0.6× 505 0.6× 315 0.7× 295 0.8× 279 0.8× 13 3.5k
Christopher W.V. Hogue Canada 25 6.9k 1.5× 975 1.1× 562 1.2× 840 2.2× 770 2.2× 62 8.9k

Countries citing papers authored by Andrew Chatr‐aryamontri

Since Specialization
Citations

This map shows the geographic impact of Andrew Chatr‐aryamontri'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 Andrew Chatr‐aryamontri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Chatr‐aryamontri more than expected).

Fields of papers citing papers by Andrew Chatr‐aryamontri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Chatr‐aryamontri. 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 Andrew Chatr‐aryamontri. The network helps show where Andrew Chatr‐aryamontri may publish in the future.

Co-authorship network of co-authors of Andrew Chatr‐aryamontri

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Chatr‐aryamontri. A scholar is included among the top collaborators of Andrew Chatr‐aryamontri 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 Andrew Chatr‐aryamontri. Andrew Chatr‐aryamontri 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.
Calderon, Virginie, et al.. (2025). Inhibiting the RNA helicase DDX3X in Burkitt lymphoma induces oxydative stress and impedes tumor progression in xenografts. Frontiers in Cell and Developmental Biology. 13. 1642006–1642006.
2.
Léveillé, Etienne, Mark E. Robinson, Thierry Bertomeu, et al.. (2024). Metabolic Determinants of Ferroptosis in B-Cell Lymphoma. Blood. 144(Supplement 1). 976–976. 1 indexed citations
3.
Oughtred, Rose, Chris Stark, Bobby‐Joe Breitkreutz, et al.. (2018). The BioGRID interaction database: 2019 update. Nucleic Acids Research. 47(D1). D529–D541. 934 indexed citations breakdown →
4.
Bertomeu, Thierry, Jasmin Coulombe‐Huntington, Andrew Chatr‐aryamontri, et al.. (2017). A High-Resolution Genome-Wide CRISPR/Cas9 Viability Screen Reveals Structural Features and Contextual Diversity of the Human Cell-Essential Proteome. Molecular and Cellular Biology. 38(1). 53 indexed citations
5.
Islamaj, Rezarta, Andrew Chatr‐aryamontri, Sun Kim, et al.. (2017). BioCreative VI Precision Medicine Track: creating a training corpus for mining protein-protein interactions affected by mutations. 171–175. 8 indexed citations
6.
Chatr‐aryamontri, Andrew, Rose Oughtred, Lorrie Boucher, et al.. (2016). The BioGRID interaction database: 2017 update. Nucleic Acids Research. 45(D1). D369–D379. 705 indexed citations breakdown →
7.
Islamaj, Rezarta, Sun Kim, Andrew Chatr‐aryamontri, et al.. (2016). The BioC-BioGRID corpus: full text articles annotated for curation of protein–protein and genetic interactions. Database. 2017. baw147–baw147. 23 indexed citations
8.
Kwon, Deukwoo, et al.. (2014). Assisting manual literature curation for protein-protein interactions using BioQRator. Database. 2014(0). bau067–bau067. 24 indexed citations
9.
Chatr‐aryamontri, Andrew, Bobby‐Joe Breitkreutz, Sven Heinicke, et al.. (2012). The BioGRID interaction database: 2013 update. Nucleic Acids Research. 41(D1). D816–D823. 728 indexed citations breakdown →
10.
Hirschman, Lynette, Gully Burns, Martin Krallinger, et al.. (2012). Text mining for the biocuration workflow. Database. 2012(0). bas020–bas020. 116 indexed citations
11.
Kiel, Christina, Andreas Vogt, Andrew Chatr‐aryamontri, et al.. (2011). Structural and functional protein network analyses predict novel signaling functions for rhodopsin. Molecular Systems Biology. 7(1). 551–551. 33 indexed citations
12.
Stark, C., Bobby‐Joe Breitkreutz, Andrew Chatr‐aryamontri, et al.. (2010). The BioGRID Interaction Database: 2011 update. Nucleic Acids Research. 39(Database). D698–D704. 681 indexed citations breakdown →
13.
Ferrari, Emanuela, Michele Tinti, Stefano Costa, et al.. (2010). Identification of New Substrates of the Protein-tyrosine Phosphatase PTP1B by Bayesian Integration of Proteome Evidence. Journal of Biological Chemistry. 286(6). 4173–4185. 38 indexed citations
14.
Chatr‐aryamontri, Andrew, Arnaud Céol, Daniele Peluso, et al.. (2008). VirusMINT: a viral protein interaction database. Nucleic Acids Research. 37(Database). D669–D673. 155 indexed citations
15.
Céol, Arnaud, Andrew Chatr‐aryamontri, Luana Licata, & Gianni Cesareni. (2008). Linking entries in protein interaction database to structured text: The FEBS Letters experiment. FEBS Letters. 582(8). 1171–1177. 45 indexed citations
16.
Chatr‐aryamontri, Andrew, Samuel Kerrien, Jyoti Khadake, et al.. (2008). MINT and IntAct contribute to the Second BioCreative challenge: serving the text-mining community with high quality molecular interaction data. Genome biology. 9(S2). S5–S5. 19 indexed citations
17.
Orchard, Sandra, Samuel Kerrien, Philip Jones, et al.. (2007). Submit Your Interaction Data the IMEx Way. PROTEOMICS. 7(S1). 28–34. 47 indexed citations
18.
Céol, Arnaud, Andrew Chatr‐aryamontri, Elena Santonico, et al.. (2006). DOMINO: a database of domain-peptide interactions. Nucleic Acids Research. 35(Database). D557–D560. 63 indexed citations
19.
Chatr‐aryamontri, Andrew, Arnaud Céol, Giovanni Battista Nardelli, et al.. (2006). MINT: the Molecular INTeraction database. Nucleic Acids Research. 35(Database). D572–D574. 759 indexed citations breakdown →
20.
Chatr‐aryamontri, Andrew, Emanuela Garelli, Gil Tchernia, et al.. (2004). Nonsense-mediated and nonstop decay of ribosomal protein S19 mRNA in Diamond-Blackfan anemia. Human Mutation. 24(6). 526–533. 35 indexed citations

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.

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