Denise Esserman
- Family Practice top 2%
- Medication Adherence and Compliance 12
- Education top 0.5%
- Media Technology top 1%
- Geriatrics and Gerontology top 5%
- Pharmaceutical Practices and Patient Outcomes 9
- Microbiology top 5%
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- Statistical Methods in Clinical Trials 20
- Statistical Methods and Bayesian Inference 20
- Advanced Causal Inference Techniques 15
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- Health Systems, Economic Evaluations, Quality of Life 12
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- Hepatitis C virus research 11
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- Liver Disease Diagnosis and Treatment 8
- Co-authors
- Mary T. RothNastaran GharkholonareheJacqueline E. McLaughlinDylan M. GlattLaToya M. GriffinChristopher A. DavidsonRussell J. MumperBryan J. Weiner
- Journals
- Statistics in Medicine (9 papers)Statistical Methods in Medical Research (7 papers)JAMA Network Open (4 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Denise Esserman
102 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Family Practice 108
- Education 1.1k
- Media Technology 290
- Geriatrics and Gerontology 123
- Microbiology 20
Countries citing papers authored by Denise Esserman
This map shows the geographic impact of Denise Esserman'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 Denise Esserman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise Esserman more than expected).
Fields of papers citing papers by Denise Esserman
This network shows the impact of papers produced by Denise Esserman. 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 Denise Esserman. The network helps show where Denise Esserman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Denise Esserman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 56 | |
| 11 | 2020 | 22 | |
| 12 | 2019 | 53 | |
| 13 | 2018 | 23 | |
| 14 | 2014 | 18 | |
| 15 | 2013 | 110 | |
| 16 | Pharmacy Student Engagement, Performance, and Perception in a Flipped Satellite Classroombreakdown → | 2013 | 311 |
| 17 | 2011 | 23 | |
| 18 | 2011 | 8 | |
| 19 | 2010 | 291 | |
| 20 | 2008 | 32 |
About Denise Esserman
Denise Esserman is a scholar working on Family Practice, Statistics and Probability, Geriatrics and Gerontology, Hepatology and Microbiology, having authored 108 papers that have together received 3.6k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (20 papers), Statistical Methods and Bayesian Inference (20 papers), Advanced Causal Inference Techniques (15 papers), Health Systems, Economic Evaluations, Quality of Life (12 papers), Medication Adherence and Compliance (12 papers), Hepatitis C virus research (11 papers), Pharmaceutical Practices and Patient Outcomes (9 papers) and Liver Disease Diagnosis and Treatment (8 papers). The work is most often cited by research in Family Practice (108 citations), Education (1.1k citations), Media Technology (290 citations), Geriatrics and Gerontology (123 citations) and Microbiology (20 citations). Denise Esserman has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Mary T. Roth, Nastaran Gharkholonarehe, Jacqueline E. McLaughlin, Dylan M. Glatt, LaToya M. Griffin, Christopher A. Davidson, Russell J. Mumper, Bryan J. Weiner, Sara Jacobs and Kerry Bruce. Their work appears in journals such as Statistics in Medicine, Statistical Methods in Medical Research, JAMA Network Open, The American journal of geriatric pharmacotherapy and Contemporary Clinical Trials.
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.