Tom Conlin
Impact in
- Genetics top 5%
- Genomics and Rare Diseases
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Developmental Biology and Gene Regulation
Papers in
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- Zebrafish Biomedical Research Applications 3
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- Research Data Management Practices 2
- Co-authors
- Brian J. Stucky (2 shared papers)John Deck (2 shared papers)Robert Guralnick (2 shared papers)Nico Cellinese (2 shared papers)
- Journals
- Nucleic Acids Research (6 papers)PLoS Biology (1 paper)BMC Bioinformatics (1 paper)PLoS ONE (1 paper)Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Tom Conlin
10 papers receiving 1.7k citations
Tom Conlin's Hit Papers
Peers
Comparison fields: 5 of 113
- Genetics 440
- Molecular Biology 844
- Cell Biology 171
- Health Informatics 23
- Information Systems 174
Countries citing papers authored by Tom Conlin
This map shows the geographic impact of Tom Conlin'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 Tom Conlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Conlin more than expected).
Fields of papers citing papers by Tom Conlin
This network shows the impact of papers produced by Tom Conlin. 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 Tom Conlin. The network helps show where Tom Conlin may publish in the future.
Co-authors
The 4 scholars most cited alongside Tom Conlin, 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 | Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources Hit paper breakdown → | 2018 | 489 |
| 2 | 2016 | 337 | |
| 3 | 2012 | 210 | |
| 4 | 2010 | 189 | |
| 5 | 2019 | 183 | |
| 6 | 2007 | 141 | |
| 7 | 2017 | 102 | |
| 8 | 2016 | 54 | |
| 9 | 2014 | 22 | |
| 10 | 2014 | 10 |
About Tom Conlin
Tom Conlin is a scholar working on Cell Biology, Information Systems, Molecular Biology, Genetics and Artificial Intelligence, having authored 10 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Zebrafish Biomedical Research Applications (3 papers), Research Data Management Practices (2 papers), Semantic Web and Ontologies (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Genetics (440 citations), Molecular Biology (844 citations), Cell Biology (171 citations), Health Informatics (23 citations) and Information Systems (174 citations). Tom Conlin has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Brian J. Stucky, John Deck, Robert Guralnick and Nico Cellinese. Their work appears in journals such as Nucleic Acids Research, PLoS Biology, BMC Bioinformatics, PLoS ONE and Genetics.
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.