David Carrell

15.1k total citations · 2 hit papers
98 papers, 5.5k citations indexed

About

David Carrell is a scholar working on Molecular Biology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, David Carrell has authored 98 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 17 papers in Epidemiology and 17 papers in Artificial Intelligence. Recurrent topics in David Carrell's work include Biomedical Text Mining and Ontologies (11 papers), Electronic Health Records Systems (10 papers) and Opioid Use Disorder Treatment (10 papers). David Carrell is often cited by papers focused on Biomedical Text Mining and Ontologies (11 papers), Electronic Health Records Systems (10 papers) and Opioid Use Disorder Treatment (10 papers). David Carrell collaborates with scholars based in United States, Netherlands and United Kingdom. David Carrell's co-authors include Melissa L. Anderson, Amy E. Bonomi, Robert S. Thompson, Frederick P. Rivara, Robert J. Reid, Paul Fishman, Robert J. Reid, Lawrence Corey, Anna Wald and James D. Ralston and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

David Carrell

95 papers receiving 5.2k 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.

Intimate Partner Violence

2006 982 citations Robert S. Thompson, Amy E. Bonomi et al. American Journal of Preventive Medicine profile →
Intimate Partner Violence and Women’s Physical, Mental, and Social Functioning

2006 500 citations Amy E. Bonomi, Robert S. Thompson et al. American Journal of Preventive Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Carrell United States	36	1.9k	1.2k	1.1k	942	713	98	5.5k
John W. Ayers United States	37	583 0.3×	773 0.7×	406 0.4×	883 0.9×	899 1.3×	106	4.7k
Bernard Lo United States	44	918 0.5×	2.3k 2.0×	901 0.8×	520 0.6×	780 1.1×	237	7.6k
Wen‐Ying Sylvia Chou United States	32	2.1k 1.1×	2.3k 1.9×	457 0.4×	2.2k 2.4×	377 0.5×	91	6.1k
Elizabeth Shenkman United States	47	421 0.2×	1.3k 1.1×	473 0.4×	357 0.4×	846 1.2×	479	8.6k
Kai Zheng United States	34	287 0.2×	1.4k 1.2×	632 0.6×	633 0.7×	329 0.5×	183	5.0k
Ann John United Kingdom	43	1.1k 0.6×	1.3k 1.1×	4.1k 3.7×	979 1.0×	716 1.0×	260	8.2k
Rolf Wynn Norway	35	715 0.4×	1.4k 1.2×	1.2k 1.1×	798 0.8×	284 0.4×	178	4.3k
Xinguang Chen United States	47	517 0.3×	1.4k 1.2×	1.1k 1.0×	1.2k 1.3×	897 1.3×	275	6.4k
Greta M. Massetti United States	35	1.1k 0.6×	873 0.7×	2.0k 1.9×	810 0.9×	422 0.6×	111	5.9k
XinQi Dong United States	33	1.4k 0.7×	1.1k 0.9×	881 0.8×	920 1.0×	186 0.3×	172	3.8k

Countries citing papers authored by David Carrell

Since Specialization

Citations

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

Fields of papers citing papers by David Carrell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Carrell. 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 David Carrell. The network helps show where David Carrell may publish in the future.

Co-authorship network of co-authors of David Carrell

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Walsh, Colin G., Qingxia Chen, Aileen P. Wright, et al.. (2024). Scalable incident detection via natural language processing and probabilistic language models. Scientific Reports. 14(1). 23429–23429. 1 indexed citations

Smith, Joshua, Brian D. Williamson, David Cronkite, et al.. (2023). Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease. Journal of the American Medical Informatics Association. 31(3). 574–582. 4 indexed citations

Taylor, Casey Overby, K Lemke, Thomas M. Richards, et al.. (2019). Comorbidity Characterization Among eMERGE Institutions: A Pilot Evaluation with the Johns Hopkins Adjusted Clinical Groups® System.. PubMed. 2019. 145–152. 4 indexed citations

Gordon, Allan, Elisabeth A. Rosenthal, David Carrell, et al.. (2019). Rates of Actionable Genetic Findings in Individuals with Colorectal Cancer or Polyps Ascertained from a Community Medical Setting. The American Journal of Human Genetics. 105(3). 526–533. 1 indexed citations

Deming, Yuetiva, Kathleen Black, David Carrell, et al.. (2016). Chitinase-3-like 1 protein (CHI3L1) locus influences cerebrospinal fluid levels of YKL-40. BMC Neurology. 16(1). 217–217. 12 indexed citations

Masters, Elizabeth T., Jack Mardekian, Arvind Ramaprasan, et al.. (2016). Natural Language Processing-Identified Problem Opioid Use And Its Associated Health Care Costs. Value in Health. 19(3). A4–A4. 4 indexed citations

Farjah, Farhood, Scott Halgrim, Diana S.M. Buist, et al.. (2016). An Automated Method for Identifying Individuals with a Lung Nodule Can Be Feasibly Implemented Across Health Systems. SHILAP Revista de lepidopterología. 4(1). 15–15. 19 indexed citations

Solberg, Leif I., et al.. (2015). It Is Time to Ask Patients What Outcomes Are Important to Them. The American Journal of Managed Care. 3. 4 indexed citations

Hylan, Timothy R., Michael Von Korff, Kathleen Saunders, et al.. (2015). Automated Prediction of Risk for Problem Opioid Use in a Primary Care Setting. Journal of Pain. 16(4). 380–387. 56 indexed citations

10.

Abdul‐Baki, Heitham, Robert E. Schoen, Sherri Rose, et al.. (2015). Public reporting of colonoscopy quality is associated with an increase in endoscopist adenoma detection rate. Gastrointestinal Endoscopy. 82(4). 676–682. 37 indexed citations

11.

Bowles, Erin J. Aiello, David Cronkite, Karen J. Wernli, et al.. (2015). Validation of natural language processing to extract breast cancer pathology procedures and results. Journal of Pathology Informatics. 6(1). 38–38. 28 indexed citations

12.

Huang, Sandy H., Paea LePendu, Srinivasan Iyer, et al.. (2014). Toward personalizing treatment for depression: predicting diagnosis and severity. Journal of the American Medical Informatics Association. 21(6). 1069–1075. 77 indexed citations

13.

Jin, Sheng Chih, Bruno A. Benítez, Celeste M. Karch, et al.. (2014). Coding variants in TREM2 increase risk for Alzheimer's disease. Human Molecular Genetics. 23(21). 5838–5846. 237 indexed citations

14.

Benítez, Bruno A., Celeste M. Karch, Yefei Cai, et al.. (2013). The PSEN1, p.E318G Variant Increases the Risk of Alzheimer's Disease in APOE-ε4 Carriers. PLoS Genetics. 9(8). e1003685–e1003685. 52 indexed citations

15.

Wu, Stephen, Timothy A. Miller, James Masanz, et al.. (2013). Negation's Not Solved: Reconsidering Negation Annotation and Evaluation.. 1 indexed citations

16.

Bielinski, Suzette J., Jyotishman Pathak, Hongfang Liu, et al.. (2012). Using Electronic Health Records to Identify Heart Failure Cohorts with Differentiation for Preserved and Reduced Ejection Fraction.. AMIA. 1 indexed citations

17.

Harms, Matthew B., Drexel A. Neumann, Bruno A. Benítez, et al.. (2012). Parkinson disease is not associated with C9ORF72 repeat expansions. Neurobiology of Aging. 34(5). 1519.e1–1519.e2. 33 indexed citations

18.

Rivara, Frederick P., Melissa L. Anderson, Paul Fishman, et al.. (2007). Healthcare Utilization and Costs for Women with a History of Intimate Partner Violence. American Journal of Preventive Medicine. 32(2). 89–96. 279 indexed citations

19.

Thompson, Robert S., Amy E. Bonomi, Melissa L. Anderson, et al.. (2006). Intimate Partner Violence. American Journal of Preventive Medicine. 30(6). 447–457. 982 indexed citations breakdown →

20.

Wald, Anna, Meei‐Li Huang, David Carrell, Stacy Selke, & Lawrence Corey. (2003). Polymerase Chain Reaction for Detection of Herpes Simplex Virus (HSV) DNA on Mucosal Surfaces: Comparison with HSV Isolation in Cell Culture. The Journal of Infectious Diseases. 188(9). 1345–1351. 223 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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