Andrew Chatr‐aryamontri

11.7k citations
29 papers · 5.5k indexed · 6 hit papers · h-index 18
Topics
Bioinformatics and Genomic Networks (19 papers)Biomedical Text Mining and Ontologies (15 papers)Semantic Web and Ontologies (7 papers)
Partner nations
United StatesCanadaItaly

In The Last Decade

Andrew Chatr‐aryamontri

27 papers receiving 5.4k citations

Hit Papers

The BioGRID database: A ...200620262012201920202018200620122016250500750

Peers

Andrew Chatr‐aryamontri
Comparison fields: 5 of 141
  • Molecular Biology 4.7k
  • Computational Theory and Mathematics 861
  • Genetics 463
  • Cell Biology 386
  • Cancer Research 351
Replace Rose Oughtred with:
Rose Oughtred United States
Lorrie Boucher Canada
Chris Stark Canada
Jennifer Rust United States
Bobby‐Joe Breitkreutz Canada
C. Stark Canada
Nadine K. Kolas United States
Patrick Aloy Spain
Christie Chang United States
Andreas Ruepp Germany
Andrew Chatr‐aryamontri relative to Rose Oughtred United States Rose Oughtred's profile →
Citations per field
00.5×1.5×
Rose Oughtred · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3
The BioGRID interaction database: 2019 updatebreakdown →
934
4 53
5 8
6
The BioGRID interaction database: 2017 updatebreakdown →
705
7 23
8 24
9
The BioGRID interaction database: 2013 updatebreakdown →
728
10 116
11 33
12
The BioGRID Interaction Database: 2011 updatebreakdown →
681
13 38
14 155
15 45
16 19
17 47
18 63
19
MINT: the Molecular INTeraction databasebreakdown →
759
20 35

About Andrew Chatr‐aryamontri

Andrew Chatr‐aryamontri is a scholar working on Molecular Biology, Artificial Intelligence and Pharmacology, having authored 29 papers that have together received 5.5k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (19 papers), Biomedical Text Mining and Ontologies (15 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Molecular Biology (4.7k citations), Computational Theory and Mathematics (861 citations) and Aging (62 citations). Andrew Chatr‐aryamontri has collaborated with scholars based in United States, Canada and Italy. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Blood.

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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