Neil F. Abernethy

1.5k total citations
35 papers, 735 citations indexed

About

Neil F. Abernethy is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Neil F. Abernethy has authored 35 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 12 papers in Infectious Diseases and 12 papers in Molecular Biology. Recurrent topics in Neil F. Abernethy's work include Biomedical Text Mining and Ontologies (8 papers), Data-Driven Disease Surveillance (8 papers) and HIV/AIDS Research and Interventions (6 papers). Neil F. Abernethy is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Data-Driven Disease Surveillance (8 papers) and HIV/AIDS Research and Interventions (6 papers). Neil F. Abernethy collaborates with scholars based in United States, Gambia and South Africa. Neil F. Abernethy's co-authors include Landon T Detwiler, Ian Painter, Tsung‐chieh Fu, Lauren Carroll, David Jeffries, Brigitte Walther, Safayet Hossin, David Parker, John Townend and Russ B. Altman and has published in prestigious journals such as Blood, PLoS ONE and PEDIATRICS.

In The Last Decade

Neil F. Abernethy

32 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neil F. Abernethy United States 12 168 148 126 108 102 35 735
Xiao Song United States 21 229 1.4× 113 0.8× 74 0.6× 130 1.2× 167 1.6× 60 1.6k
Jessica D. Tenenbaum United States 18 427 2.5× 85 0.6× 144 1.1× 70 0.6× 189 1.9× 52 1.0k
Lutfan Lazuardi Indonesia 19 130 0.8× 335 2.3× 329 2.6× 191 1.8× 192 1.9× 132 1.6k
Claudia Emerson Canada 10 213 1.3× 104 0.7× 308 2.4× 112 1.0× 70 0.7× 16 783
Michel Joubert France 18 325 1.9× 192 1.3× 115 0.9× 62 0.6× 268 2.6× 98 1.3k
Dilhan Weeraratne United States 5 154 0.9× 50 0.3× 97 0.8× 50 0.5× 195 1.9× 15 1.1k
David Baorto United States 9 277 1.6× 78 0.5× 72 0.6× 30 0.3× 144 1.4× 13 593
Laura K. Ferris United States 22 448 2.7× 363 2.5× 89 0.7× 157 1.5× 208 2.0× 68 1.8k
Daniel Scanfeld United States 8 214 1.3× 128 0.9× 130 1.0× 170 1.6× 83 0.8× 9 970
Robert Challen United Kingdom 9 81 0.5× 119 0.8× 111 0.9× 58 0.5× 185 1.8× 19 1.1k

Countries citing papers authored by Neil F. Abernethy

Since Specialization
Citations

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

Fields of papers citing papers by Neil F. Abernethy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil F. Abernethy. 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 Neil F. Abernethy. The network helps show where Neil F. Abernethy may publish in the future.

Co-authorship network of co-authors of Neil F. Abernethy

This figure shows the co-authorship network connecting the top 25 collaborators of Neil F. Abernethy. A scholar is included among the top collaborators of Neil F. Abernethy 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 Neil F. Abernethy. Neil F. Abernethy 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.
Abernethy, Neil F., et al.. (2025). Rapid development of a registry to accelerate COVID-19 vaccine clinical trials. npj Digital Medicine. 8(1). 251–251.
2.
Goodreau, Steven M., John E. Mittler, Neil F. Abernethy, et al.. (2022). Why does age at HIV infection correlate with set point viral load? An evolutionary hypothesis. Epidemics. 41. 100629–100629. 1 indexed citations
3.
Peebles, Kathryn, John E. Mittler, Steven M. Goodreau, et al.. (2021). Risk compensation after HIV-1 vaccination may accelerate viral adaptation and reduce cost-effectiveness: a modeling study. Scientific Reports. 11(1). 6798–6798. 3 indexed citations
4.
Reid, Molly C., Kathryn Peebles, Steven M. Goodreau, et al.. (2019). Models to predict the public health impact of vaccine resistance: A systematic review. Vaccine. 37(35). 4886–4895. 3 indexed citations
5.
Herbeck, Joshua T., Kathryn Peebles, Paul T. Edlefsen, et al.. (2017). HIV population-level adaptation can rapidly diminish the impact of a partially effective vaccine. Vaccine. 36(4). 514–520. 11 indexed citations
6.
Overby, Casey Lynnette, Emily Beth Devine, Neil F. Abernethy, Jeannine S. McCune, & Peter Tarczy‐Hornoch. (2015). Making pharmacogenomic-based prescribing alerts more effective: A scenario-based pilot study with physicians. Journal of Biomedical Informatics. 55. 249–259. 21 indexed citations
7.
Abernethy, Neil F., et al.. (2015). Assessing the Work Practices and Information Needs of Disease Investigators. Online Journal of Public Health Informatics. 7(1).
8.
Devine, Emily Beth, et al.. (2014). Usability evaluation of pharmacogenomics clinical decision support aids and clinical knowledge resources in a computerized provider order entry system: A mixed methods approach. International Journal of Medical Informatics. 83(7). 473–483. 62 indexed citations
9.
Carroll, Lauren, et al.. (2014). Visualization and analytics tools for infectious disease epidemiology: A systematic review. Journal of Biomedical Informatics. 51. 287–298. 161 indexed citations
10.
Scott, Craig S., Pamela R. Nagasawa, Neil F. Abernethy, et al.. (2013). Expanding Assessments of Translational Research Programs. Evaluation & the Health Professions. 37(1). 83–97. 10 indexed citations
11.
Shojaie, Ali, et al.. (2013). Using random walks to identify cancer-associated modules in expression data. BioData Mining. 6(1). 17–17. 30 indexed citations
12.
Masys, Daniel R., Gail P. Jarvik, Neil F. Abernethy, et al.. (2011). Technical desiderata for the integration of genomic data into Electronic Health Records. Journal of Biomedical Informatics. 45(3). 419–422. 72 indexed citations
13.
Walther, Brigitte, Safayet Hossin, John Townend, et al.. (2011). Comparison of Electronic Data Capture (EDC) with the Standard Data Capture Method for Clinical Trial Data. PLoS ONE. 6(9). e25348–e25348. 100 indexed citations
14.
Abernethy, Neil F., et al.. (2011). Methods to identify standard data elements in clinical and public health forms.. PubMed. 2011. 19–27. 3 indexed citations
15.
Jeffries, David, Neil F. Abernethy, & Bouke C. de Jong. (2009). Supervised learning for the automated transcription of spacer classification from spoligotype films. BMC Bioinformatics. 10(1). 248–248. 3 indexed citations
16.
Altman, Russ B., et al.. (1999). RiboWeb: an ontology-based system for collaborative molecular biology. IEEE Intelligent Systems and their Applications. 14(5). 68–76. 50 indexed citations
17.
Abernethy, Neil F., et al.. (1999). Sophia: a flexible, Web-based knowledge server. IEEE Intelligent Systems and their Applications. 14(4). 79–85. 11 indexed citations
18.
Abernethy, Neil F. & Russ B. Altman. (1998). Sophia: Providing Basic Knowledge Services with a Common DBMS.. 9 indexed citations
19.
Altman, Russ B., Neil F. Abernethy, & Richard Chen. (1997). Standardized representations of the literature: combining diverse sources of ribosomal data.. PubMed. 5. 15–24. 8 indexed citations
20.
McMurray, Claire, et al.. (1996). Functional comparison of spleen dendritic cells and dendritic cells cultured in vitro from bone marrow precursors. Blood. 88(9). 3508–3512. 81 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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