Leah Gillon

1.2k total citations
16 papers, 991 citations indexed

About

Leah Gillon is a scholar working on Public Health, Environmental and Occupational Health, Pharmacy and General Health Professions. According to data from OpenAlex, Leah Gillon has authored 16 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Public Health, Environmental and Occupational Health, 5 papers in Pharmacy and 4 papers in General Health Professions. Recurrent topics in Leah Gillon's work include Obesity, Physical Activity, Diet (5 papers), Obesity and Health Practices (5 papers) and Medication Adherence and Compliance (4 papers). Leah Gillon is often cited by papers focused on Obesity, Physical Activity, Diet (5 papers), Obesity and Health Practices (5 papers) and Medication Adherence and Compliance (4 papers). Leah Gillon collaborates with scholars based in United States, Canada and Switzerland. Leah Gillon's co-authors include C. Raymond Bingham, John E. Zeber, Laurel A. Copeland, Frederic C. Blow, John F. McCarthy, Marcia Valenstein, Laura J. Damschroder, Marcia Valenstein, Julie C. Lowery and Lesley D. Lutes and has published in prestigious journals such as Circulation, Journal of the American Geriatrics Society and American Journal of Preventive Medicine.

In The Last Decade

Leah Gillon

16 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leah Gillon United States 14 491 289 185 152 142 16 991
Jacqueline Pesa United States 16 383 0.8× 328 1.1× 155 0.8× 265 1.7× 98 0.7× 65 1.0k
Adele Ring United Kingdom 21 882 1.8× 247 0.9× 387 2.1× 66 0.4× 126 0.9× 39 1.4k
Hiske van Ravesteijn Netherlands 14 344 0.7× 308 1.1× 349 1.9× 102 0.7× 168 1.2× 24 911
Adrine Woodham United Kingdom 15 243 0.5× 732 2.5× 186 1.0× 158 1.0× 171 1.2× 21 1.1k
Polly Kratt United States 12 208 0.4× 149 0.5× 240 1.3× 271 1.8× 26 0.2× 18 872
Rahul Ganguly United States 16 255 0.5× 138 0.5× 112 0.6× 64 0.4× 43 0.3× 52 852
Stephan Mühlig Germany 15 153 0.3× 189 0.7× 177 1.0× 90 0.6× 117 0.8× 68 896
Ian Brown United Kingdom 18 392 0.8× 251 0.9× 324 1.8× 296 1.9× 84 0.6× 38 1.2k
Shana D. Stites United States 15 282 0.6× 117 0.4× 204 1.1× 233 1.5× 100 0.7× 59 836
Joanna L. Hudson United Kingdom 17 177 0.4× 215 0.7× 293 1.6× 171 1.1× 182 1.3× 40 886

Countries citing papers authored by Leah Gillon

Since Specialization
Citations

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

Fields of papers citing papers by Leah Gillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leah Gillon

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

All Works

16 of 16 papers shown
1.
Min, Lillian, Jinkyung Ha, Carole E. Aubert, et al.. (2021). A Method to Quantify Mean Hypertension Treatment Daily Dose Intensity Using Health Care System Data. JAMA Network Open. 4(1). e2034059–e2034059. 13 indexed citations
2.
Min, Lillian, Jinkyung Ha, Timothy P. Hofer, et al.. (2020). Validation of a Health System Measure to Capture Intensive Medication Treatment of Hypertension in the Veterans Health Administration. JAMA Network Open. 3(7). e205417–e205417. 5 indexed citations
3.
Ghazizadeh, Zaniar, Tuomas Kiviniemi, Manu Beerens, et al.. (2019). Metastable Atrial State Underlies the Primary Genetic Substrate for MYL4 Mutation-Associated Atrial Fibrillation. Circulation. 141(4). 301–312. 27 indexed citations
4.
Lutes, Lesley D., Laura J. Damschroder, Robin M. Masheb, et al.. (2017). Behavioral Treatment for Veterans with Obesity: 24-Month Weight Outcomes from the ASPIRE-VA Small Changes Randomized Trial. Journal of General Internal Medicine. 32(S1). 40–47. 19 indexed citations
5.
Janney, Carol A., Robin M. Masheb, Lesley D. Lutes, et al.. (2017). Mental health and behavioral weight loss: 24-month outcomes in Veterans. Journal of Affective Disorders. 215. 197–204. 10 indexed citations
6.
Vimalananda, Varsha G., Laura J. Damschroder, Carol A. Janney, et al.. (2016). Weight loss among women and men in the ASPIRE‐VA behavioral weight loss intervention trial. Obesity. 24(9). 1884–1891. 18 indexed citations
7.
Damschroder, Laura J., David E. Goodrich, Hyungjin Myra Kim, et al.. (2015). Development and validation of the ASPIRE-VA coaching fidelity checklist (ACFC): a tool to help ensure delivery of high-quality weight management interventions. Translational Behavioral Medicine. 6(3). 369–385. 14 indexed citations
8.
Damschroder, Laura J., Carmen Hall, Leah Gillon, et al.. (2015). The Consolidated Framework for Implementation Research (CFIR): progress to date, tools and resources, and plans for the future. Implementation Science. 10(S1). 83 indexed citations
9.
Damschroder, Laura J., Lesley D. Lutes, Hyungjin Myra Kim, et al.. (2014). Small-Changes Obesity Treatment Among Veterans. American Journal of Preventive Medicine. 47(5). 541–553. 53 indexed citations
10.
Lutes, Lesley D., David E. Goodrich, David L. Ronis, et al.. (2012). A randomized trial of a small changes approach for weight loss in veterans: Design, rationale, and baseline characteristics of the ASPIRE-VA trial. Contemporary Clinical Trials. 34(1). 161–172. 31 indexed citations
11.
Damschroder, Laura J., Lesley D. Lutes, David E. Goodrich, Leah Gillon, & Julie C. Lowery. (2009). A small-change approach delivered via telephone promotes weight loss in veterans: Results from the ASPIRE-VA pilot study. Patient Education and Counseling. 79(2). 262–266. 51 indexed citations
12.
Kales, Helen C., Harold W. Neighbors, Marcia Valenstein, et al.. (2005). Effect of Race and Sex on Primary Care Physicians' Diagnosis and Treatment of Late‐Life Depression. Journal of the American Geriatrics Society. 53(5). 777–784. 34 indexed citations
13.
Kales, Helen C., Harold W. Neighbors, Frederic C. Blow, et al.. (2005). Race, Gender, and Psychiatrists' Diagnosis and Treatment of Major Depression Among Elderly Patients. Psychiatric Services. 56(6). 721–728. 37 indexed citations
14.
Valenstein, Marcia, et al.. (2004). Poor Antipsychotic Adherence Among Patients With Schizophrenia: Medication and Patient Factors. Schizophrenia Bulletin. 30(2). 255–264. 232 indexed citations
15.
Blow, Frederic C., John E. Zeber, John F. McCarthy, et al.. (2004). Ethnicity and diagnostic patterns in veterans with psychoses. Social Psychiatry and Psychiatric Epidemiology. 39(10). 841–851. 68 indexed citations
16.
Valenstein, Marcia, Laurel A. Copeland, Frederic C. Blow, et al.. (2002). Pharmacy Data Identify Poorly Adherent Patients With Schizophrenia at Increased Risk for Admission. Medical Care. 40(8). 630–639. 296 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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