Laël C. Gatewood

2.7k total citations · 1 hit paper
60 papers, 2.1k citations indexed

About

Laël C. Gatewood is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Laël C. Gatewood has authored 60 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 10 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Molecular Biology. Recurrent topics in Laël C. Gatewood's work include Diabetes Management and Research (6 papers), Electronic Health Records Systems (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Laël C. Gatewood is often cited by papers focused on Diabetes Management and Research (6 papers), Electronic Health Records Systems (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Laël C. Gatewood collaborates with scholars based in United States, Canada and Netherlands. Laël C. Gatewood's co-authors include Eugene Ackerman, George D. Molnar, John W. Rosevear, F. John Service, William F. Taylor, Glenn E. Bartsch, Ivan D. Frantz, K Kuba, Ellen A. Dawson and Richard S. Crow and has published in prestigious journals such as Circulation, NeuroImage and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Laël C. Gatewood

56 papers receiving 1.9k citations

Hit Papers

Mean Amplitude of Glycemic Excursions, a Measure of Diabe... 1970 2026 1988 2007 1970 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laël C. Gatewood United States 17 1.0k 519 385 335 292 60 2.1k
T M Hayes United Kingdom 26 850 0.8× 406 0.8× 256 0.7× 227 0.7× 170 0.6× 59 1.9k
Richard O’Brien Australia 29 1.1k 1.1× 678 1.3× 166 0.4× 709 2.1× 339 1.2× 103 2.9k
Paturi Vishnupriya Rao India 21 1.3k 1.2× 385 0.7× 297 0.8× 282 0.8× 283 1.0× 35 2.5k
Peter Avery United Kingdom 31 678 0.7× 645 1.2× 387 1.0× 791 2.4× 498 1.7× 100 3.9k
Ingrid Glurich United States 29 485 0.5× 370 0.7× 265 0.7× 327 1.0× 597 2.0× 88 3.0k
Karl Thomaseth Italy 29 687 0.7× 711 1.4× 279 0.7× 557 1.7× 384 1.3× 96 2.4k
Michael J. Fowler United States 18 1.7k 1.7× 1.2k 2.2× 694 1.8× 308 0.9× 693 2.4× 61 3.6k
Pierre Drouin France 32 1.1k 1.1× 1.4k 2.6× 236 0.6× 277 0.8× 396 1.4× 140 3.8k
Rajiv T. Erasmus South Africa 31 725 0.7× 273 0.5× 233 0.6× 219 0.7× 546 1.9× 193 3.1k

Countries citing papers authored by Laël C. Gatewood

Since Specialization
Citations

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

Fields of papers citing papers by Laël C. Gatewood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laël C. Gatewood. 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 Laël C. Gatewood. The network helps show where Laël C. Gatewood may publish in the future.

Co-authorship network of co-authors of Laël C. Gatewood

This figure shows the co-authorship network connecting the top 25 collaborators of Laël C. Gatewood. A scholar is included among the top collaborators of Laël C. Gatewood 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 Laël C. Gatewood. Laël C. Gatewood 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.
Marc, David T., James Beattie, Vitaly Herasevich, Laël C. Gatewood, & Rui Zhang. (2016). Assessing Metadata Quality of a Federally Sponsored Health Data Repository.. PubMed. 2016. 864–873. 7 indexed citations
2.
Grove, Michael, et al.. (2013). Traumatic brain injury rehabilitation: analysis of common data elements.. PubMed. 192. 1186–1186. 3 indexed citations
3.
Chen, Xi, et al.. (2010). Predicting tooth loss for older adults with special needs. Community Dentistry And Oral Epidemiology. 38(3). 235–243. 11 indexed citations
4.
Chen, Xi, et al.. (2010). Patterns of Tooth Loss in Older Adults with and without Dementia: A Retrospective Study Based on a Minnesota Cohort. Journal of the American Geriatrics Society. 58(12). 2300–2307. 45 indexed citations
5.
Anderson, Jon, et al.. (2008). Evaluation and optimization of fMRI single-subject processing pipelines with NPAIRS and second-level CVA. Magnetic Resonance Imaging. 27(2). 264–278. 29 indexed citations
7.
Connelly, Donald P., et al.. (2005). Decision making and laboratory test utilization: expert-novice differences. 267–270.
8.
Jaspers, Monique, et al.. (2004). The International Partnership in Health Informatics Education. Pure Amsterdam UMC. 1 indexed citations
9.
Gilbertson, David T., et al.. (1995). Simulation of stochastic micropopulation models—IV. Snappers: Model implementation for genetic traits. Computers in Biology and Medicine. 25(6). 519–531. 1 indexed citations
10.
Altmann, Michael, et al.. (1994). Network analytic methods for epidemiological risk assessment. Statistics in Medicine. 13(1). 53–60. 17 indexed citations
11.
Gatewood, Laël C., et al.. (1993). Simulation of stochastic micropopulation models—II. VESPERS: Epidemiological model implementations for spread of viral infections. Computers in Biology and Medicine. 23(3). 199–213. 12 indexed citations
12.
Gatewood, Laël C., et al.. (1990). A Monte Carlo Simulation Program for Coronary Heart Disease.. PubMed Central. 303–307. 3 indexed citations
13.
Glaser, John, Laël C. Gatewood, & John Anderson. (1984). A model of training needs in health information science. Medical Informatics. 9(3-4). 289–297. 2 indexed citations
14.
Gatewood, Laël C., et al.. (1979). Computer AIDS for Clinical Research Management and Control: General Analysis and Design.. Europe PMC (PubMed Central). 91–97. 1 indexed citations
15.
Gatewood, Laël C., et al.. (1978). Seasonal behavior of human menstrual cycles: a biometric investigation.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 50(1). 15–31. 26 indexed citations
16.
Elveback, Lila R., Eugene Ackerman, Laël C. Gatewood, & John P. Fox. (1971). STOCHASTIC TWO-AGENT EPIDEMIC SIMULATION MODELS FOR A COMMUNITY OF FAMILIES1. American Journal of Epidemiology. 93(4). 267–280. 44 indexed citations
17.
Molnar, George D., William F. Taylor, Karen E. Moxness, et al.. (1971). Studies of diabetic instability. II. Tests of insulinogenic reserve with infusions of arginine, glucagon, epinephrine, and saline. Metabolism. 20(12). 1083–1098. 25 indexed citations
18.
Service, F. John, George D. Molnar, John W. Rosevear, et al.. (1970). Mean Amplitude of Glycemic Excursions, a Measure of Diabetic Instability. Diabetes. 19(9). 644–655. 850 indexed citations breakdown →
19.
Molnar, George D., et al.. (1968). CONTINUOUS BLOOD GLUCOSE ANALYSIS IN AMBULATORY FED SUBJECTS. I. GENERAL METHODOLOGY. Mayo Clinic Proceedings. 43(12). 833–851. 30 indexed citations
20.
Gatewood, Laël C., Eugene Ackerman, John W. Rosevear, & George D. Molnar. (1968). Simulation studies of blood-glucose regulation: Effect of intestinal glucose absorption. Computers and Biomedical Research. 2(1). 15–27. 12 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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