Alison Callahan

3.1k total citations · 1 hit paper
51 papers, 1.4k citations indexed

About

Alison Callahan is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Alison Callahan has authored 51 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Artificial Intelligence and 9 papers in Health Information Management. Recurrent topics in Alison Callahan's work include Biomedical Text Mining and Ontologies (13 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Electronic Health Records Systems (7 papers). Alison Callahan is often cited by papers focused on Biomedical Text Mining and Ontologies (13 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Electronic Health Records Systems (7 papers). Alison Callahan collaborates with scholars based in United States, Canada and Spain. Alison Callahan's 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 and has published in prestigious journals such as JAMA, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Alison Callahan

50 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

Testing and Evaluation of Health Care Applications of Large Language Models

2024 137 citations Suhana Bedi, Dev Dash et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alison Callahan United States	22	448	361	220	138	128	51	1.4k
Fabio Rinaldi Switzerland	20	1.1k 2.5×	869 2.4×	66 0.3×	94 0.7×	15 0.1×	141	1.7k
Yuqi Si United States	12	556 1.2×	298 0.8×	88 0.4×	156 1.1×	7 0.1×	20	972
Mary Regina Boland United States	22	346 0.8×	378 1.0×	72 0.3×	123 0.9×	3 0.0×	72	1.3k
Jingcheng Du United States	19	729 1.6×	414 1.1×	107 0.5×	158 1.1×	2 0.0×	63	1.5k
Degui Zhi United States	33	628 1.4×	1.8k 4.9×	104 0.5×	173 1.3×	5 0.0×	131	3.8k
Georgios V. Gkoutos United Kingdom	34	1.1k 2.4×	2.8k 7.7×	42 0.2×	69 0.5×	48 0.4×	199	4.5k
Lixia Yao United States	20	189 0.4×	405 1.1×	18 0.1×	68 0.5×	7 0.1×	95	1.2k
Páll Jónsson United Kingdom	15	167 0.4×	436 1.2×	171 0.8×	82 0.6×	3 0.0×	41	1.4k
Feifan Liu United States	20	725 1.6×	337 0.9×	31 0.1×	53 0.4×	3 0.0×	100	1.4k
Dexter Hadley United States	21	292 0.7×	1.2k 3.3×	80 0.4×	70 0.5×	5 0.0×	56	2.8k

Countries citing papers authored by Alison Callahan

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Alison Callahan

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

All Works

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20 of 20 papers shown

Bedi, Suhana, Dev Dash, Oluwasanmi Koyejo, et al.. (2024). A Systematic Review of Testing and Evaluation of Healthcare Applications of Large Language Models (LLMs). medRxiv. 16 indexed citations

Fong, Rebecca, Alison Callahan, Michael F. Gensheimer, et al.. (2023). Lessons Learned from a Multi-Site, Team-Based Serious Illness Care Program Implementation at an Academic Medical Center. Journal of Palliative Medicine. 27(1). 83–89. 2 indexed citations

Wornow, Michael, Elsie Ross, Alison Callahan, & Nigam H. Shah. (2023). APLUS: A Python library for usefulness simulations of machine learning models in healthcare. Journal of Biomedical Informatics. 139. 104319–104319. 9 indexed citations

Xu, Yizhe, et al.. (2023). Principled estimation and evaluation of treatment effect heterogeneity: A case study application to dabigatran for patients with atrial fibrillation. Journal of Biomedical Informatics. 143. 104420–104420. 6 indexed citations

Fries, Jason, Ethan Steinberg, Scott L. Fleming, et al.. (2021). Ontology-driven weak supervision for clinical entity classification in electronic health records. Nature Communications. 12(1). 2017–2017. 45 indexed citations

Callahan, Alison, et al.. (2021). ACE: the Advanced Cohort Engine for searching longitudinal patient records. Journal of the American Medical Informatics Association. 28(7). 1468–1479. 12 indexed citations

Callahan, Alison, Saurabh Gombar, Eli M. Cahan, et al.. (2021). Using Aggregate Patient Data at the Bedside via an On-Demand Consultation Service. NEJM Catalyst. 2(10). 7 indexed citations

Kashyap, Sehj, Saurabh Gombar, Steve Yadlowsky, et al.. (2020). Measure what matters: Counts of hospitalized patients are a better metric for health system capacity planning for a reopening. Journal of the American Medical Informatics Association. 27(7). 1026–1131. 11 indexed citations

Callahan, Alison, Ethan Steinberg, Jason Fries, et al.. (2020). Estimating the efficacy of symptom-based screening for COVID-19. npj Digital Medicine. 3(1). 95–95. 34 indexed citations

10.

Nikfarjam, Azadeh, Julia D. Ransohoff, Alison Callahan, et al.. (2019). Early Detection of Adverse Drug Reactions in Social Health Networks: A Natural Language Processing Pipeline for Signal Detection. JMIR Public Health and Surveillance. 5(2). e11264–e11264. 26 indexed citations

11.

Callahan, Alison, Rainer Winnenburg, & Nigam H. Shah. (2018). U-Index, a dataset and an impact metric for informatics tools and databases. Scientific Data. 5(1). 180043–180043. 7 indexed citations

12.

Schuler, Alejandro, Alison Callahan, Kenneth Jung, & Nigam H. Shah. (2018). Performing an Informatics Consult: Methods and Challenges. Journal of the American College of Radiology. 15(3). 563–568. 21 indexed citations

13.

Callahan, Alison, Kim D. Anderson, Michael S. Beattie, et al.. (2017). Developing a data sharing community for spinal cord injury research. Experimental Neurology. 295. 135–143. 39 indexed citations

14.

Banda, Juan M., Alison Callahan, Rainer Winnenburg, et al.. (2015). Feasibility of Prioritizing Drug–Drug-Event Associations Found in Electronic Health Records. Drug Safety. 39(1). 45–57. 29 indexed citations

15.

Callahan, Alison, et al.. (2015). Analyzing Information Seeking and Drug-Safety Alert Response by Health Care Professionals as New Methods for Surveillance. Journal of Medical Internet Research. 17(8). e204–e204. 8 indexed citations

16.

Callahan, Alison, et al.. (2015). An evidence-based approach to identify aging-related genes in Caenorhabditis elegans. BMC Bioinformatics. 16(1). 40–40. 6 indexed citations

17.

Dumontier, Michel, Alison Callahan, José Cruz-Toledo, et al.. (2014). Bio2RDF release 3: a larger connected network of linked data for the life sciences. Research Publications (Maastricht University). 401–404. 26 indexed citations

18.

Harpaz, Rave, Alison Callahan, Suzanne Tamang, et al.. (2014). Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art. Drug Safety. 37(10). 777–790. 164 indexed citations

19.

Callahan, Alison, José Cruz-Toledo, & Michel Dumontier. (2013). Ontology-Based Querying with Bio2RDF’s Linked Open Data. Journal of Biomedical Semantics. 4(S1). S1–S1. 46 indexed citations

20.

Callahan, Alison, et al.. (2012). Improved Dataset Coverage and Interoperability with Bio2RDF Release 2.. Research Publications (Maastricht University). 1 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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