Denise Esserman

6.1k citations
111 papers · 3.9k · 3 hit papers · h-index 24

Impact in

Papers in

    • Statistical Methods and Bayesian Inference 20
    • Statistical Methods in Clinical Trials 18
    • Advanced Causal Inference Techniques 14
    • Statistical Methods and Inference 8
    • Hepatitis C virus research 11

Denise Esserman

102 papers receiving 3.7k citations

Denise Esserman's Hit Papers

Organizational readiness for implementing change: a psychometric assessment of a new measure 2014 · 533 citations
5330+4+8Years since publication250500750

Peers

Denise Esserman
Comparison fields: 5 of 171
  • Family Practice 62
  • Education 1.1k
  • Media Technology 308
  • Geriatrics and Gerontology 84
  • Hepatology 139
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Countries citing papers authored by Denise Esserman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Denise Esserman Line = papers co-authored together Denise Esserman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Flipped Classroom
Hit paper breakdown →
2013916
2
Organizational readiness for implementing change: a psychometric assessment of a new measure
Hit paper breakdown →
2014533
3
Pharmacy Student Engagement, Performance, and Perception in a Flipped Satellite Classroom
Hit paper breakdown →
2013333
4 2010308
5 2017188
6 2013115
7 2011100
8 201590
9 202264
10 201962
11 200956
12 201044
13 201343
14 201043
15 201241
16 201140
17 200832
18 200928
19 201127
20 201126

About Denise Esserman

Denise Esserman is a scholar working on Statistics and Probability, Hepatology, Geriatrics and Gerontology, Oncology and Public Health, Environmental and Occupational Health, having authored 111 papers that have together received 3.9k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (20 papers), Statistical Methods in Clinical Trials (18 papers), Advanced Causal Inference Techniques (14 papers), Hepatitis C virus research (11 papers), Statistical Methods and Inference (8 papers), Pharmaceutical Practices and Patient Outcomes (7 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Medication Adherence and Compliance (5 papers). The work is most often cited by research in Family Practice (62 citations), Education (1.1k citations), Media Technology (308 citations), Geriatrics and Gerontology (84 citations) and Hepatology (139 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, Christopher A. Davidson, Russell J. Mumper, Dylan M. Glatt, LaToya M. Griffin, Sara Jacobs, Bryan J. Weiner and Kerry Bruce. Their work appears in journals such as Statistics in Medicine, Statistical Methods in Medical Research, ˜The œAmerican journal of geriatric pharmacotherapy, Clinical Trials and JAMA Network Open.

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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