Alison Callahan
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education 7
- Toxicology top 2%
- Pharmacovigilance and Adverse Drug Reactions 5
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- Electronic Health Records Systems 7
- Artificial Intelligence top 5%
- Semantic Web and Ontologies 7
- Machine Learning in Healthcare 6
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- Biomedical Text Mining and Ontologies 13
- Bioinformatics and Genomic Networks 4
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- Ethics in Clinical Research 4
- Co-authors
- Nigam H. ShahMichel DumontierKenneth JungThomas N. SherrattDana KlassenJosé Cruz-ToledoJason FriesRave Harpaz
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Alison Callahan
50 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Health Informatics 220
- Toxicology 108
- Health Information Management 138
- Artificial Intelligence 448
- Information Systems and Management 68
Countries citing papers authored by Alison Callahan
This map shows the geographic impact of Alison Callahan'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 Alison Callahan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alison Callahan more than expected).
Fields of papers citing papers by Alison Callahan
This network shows the impact of papers produced by Alison Callahan. 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 Alison Callahan. The network helps show where Alison Callahan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alison Callahan, 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 | 2024 | 16 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 6 | |
| 5 | 2021 | 45 | |
| 6 | 2021 | 12 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 11 | |
| 9 | 2020 | 34 | |
| 10 | 2019 | 26 | |
| 11 | 2018 | 7 | |
| 12 | 2018 | 21 | |
| 13 | 2017 | 39 | |
| 14 | 2015 | 29 | |
| 15 | 2015 | 8 | |
| 16 | 2015 | 6 | |
| 17 | Bio2RDF release 3: a larger connected network of linked data for the life sciences | 2014 | 26 |
| 18 | 2014 | 164 | |
| 19 | 2013 | 46 | |
| 20 | Improved Dataset Coverage and Interoperability with Bio2RDF Release 2. | 2012 | 1 |
About Alison Callahan
Alison Callahan is a scholar working on Health Informatics, Health Information Management and Toxicology, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (13 papers), Artificial Intelligence in Healthcare and Education (7 papers), Electronic Health Records Systems (7 papers), Semantic Web and Ontologies (7 papers), Machine Learning in Healthcare (6 papers), Pharmacovigilance and Adverse Drug Reactions (5 papers), Bioinformatics and Genomic Networks (4 papers) and Ethics in Clinical Research (4 papers). The work is most often cited by research in Health Informatics (220 citations), Toxicology (108 citations) and Health Information Management (138 citations). Alison Callahan has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Nigam H. Shah, Michel Dumontier, Kenneth Jung, Thomas N. Sherratt, Dana Klassen, José Cruz-Toledo, Jason Fries, Rave Harpaz, Alejandro Schuler and Saurabh Gombar. Their work appears in journals such as JAMA, Nature Communications and Journal of Clinical Oncology.
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.