E. Gemmen

3.7k total citations · 2 hit papers
32 papers, 2.7k citations indexed

About

E. Gemmen is a scholar working on Epidemiology, Economics and Econometrics and Surgery. According to data from OpenAlex, E. Gemmen has authored 32 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 6 papers in Economics and Econometrics and 5 papers in Surgery. Recurrent topics in E. Gemmen's work include Antimicrobial Resistance in Staphylococcus (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). E. Gemmen is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). E. Gemmen collaborates with scholars based in United States, United Kingdom and Canada. E. Gemmen's co-authors include Clifford Goodman, Elizabeth Adams, Kelly Cronin, Shefali Shah, Mark Donowitz, Robert S. Sandler, James E. Everhart, David J Margolis, Timothy M. Dall and Martin A. Weinstock and has published in prestigious journals such as Blood, Gastroenterology and Clinical Infectious Diseases.

In The Last Decade

E. Gemmen

29 papers receiving 2.6k citations

Hit Papers

The burden of selected di... 2002 2026 2010 2018 2002 2006 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
E. Gemmen 970 577 401 372 365 32 2.7k
Sebastián Videla 1.2k 1.3× 558 1.0× 938 2.3× 62 0.2× 348 1.0× 179 3.3k
Seppo Laine 772 0.8× 246 0.4× 337 0.8× 65 0.2× 175 0.5× 72 2.7k
Rosaria Gesuita 1.1k 1.2× 597 1.0× 755 1.9× 44 0.1× 265 0.7× 134 3.3k
Nelli Farkas 671 0.7× 233 0.4× 382 1.0× 59 0.2× 453 1.2× 182 2.7k
Lauri J. Virta 804 0.8× 553 1.0× 844 2.1× 78 0.2× 333 0.9× 109 3.4k
Hans Strid 950 1.0× 1.2k 2.0× 1.1k 2.9× 120 0.3× 173 0.5× 94 3.3k
Jana G. Hashash 1.1k 1.1× 549 1.0× 1.4k 3.5× 51 0.1× 231 0.6× 249 3.7k
Luc Biedermann 1.3k 1.4× 424 0.7× 1.1k 2.7× 85 0.2× 287 0.8× 197 3.8k
Albert Cohen 654 0.7× 199 0.3× 954 2.4× 52 0.1× 165 0.5× 38 2.9k
Veronica Ojetti 1.9k 1.9× 1.2k 2.1× 650 1.6× 56 0.2× 512 1.4× 149 4.2k

Countries citing papers authored by E. Gemmen

Since Specialization
Citations

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

Fields of papers citing papers by E. Gemmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Gemmen

This figure shows the co-authorship network connecting the top 25 collaborators of E. Gemmen. A scholar is included among the top collaborators of E. Gemmen 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 E. Gemmen. E. Gemmen 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.
Bennett, Bryan, Grant D. Stewart, Ana Medina, et al.. (2023). Phase 4 Multinational Multicenter Retrospective and Prospective Real-World Study of Nivolumab in Recurrent and Metastatic Squamous Cell Carcinoma of the Head and Neck. Cancers. 15(14). 3552–3552. 2 indexed citations
2.
Nappi, Rossella E., et al.. (2022). Prevalence and quality-of-life burden of vasomotor symptoms associated with menopause: A European cross-sectional survey. Maturitas. 167. 66–74. 32 indexed citations
3.
Rovner, Eric S., Kevin Carlson, Kavita V. Nair, et al.. (2018). A Prospective, non-intErventional Registry Study of PatiEnts initiating a Course of drug Therapy for overactIVE bladder (PERSPECTIVE): Rationale, design, and methodology. Contemporary Clinical Trials. 70. 83–87. 5 indexed citations
4.
5.
Gemmen, E.. (2015). Prevention and Treatment of Missing Data in Real World Research. Value in Health. 18(7). A732–A732. 1 indexed citations
6.
Kotak, Sameer, Jack Mardekian, N. Horowicz-Mehler, et al.. (2015). Impact of Etanercept Therapy on Disease Activity and Health-Related Quality of Life in Moderate Rheumatoid Arthritis Patients Population from a National British Observational Cohort. Value in Health. 18(6). 817–823. 7 indexed citations
7.
Gemmen, E. & Michelle B Leavy. (2014). Collecting pros in patient registries: The need for and potential impact of providing pro data to the treating physician – and when. Value in Health. 17(3). A207–A207. 3 indexed citations
8.
Gemmen, E., et al.. (2014). Practical approaches to achieving real-world study data representative of the target population. Value in Health. 17(3). A207–A207.
9.
Gemmen, E., et al.. (2013). The correlation between patient report outcomes and clinician reported outcomes. Value in Health. 16(3). A43–A43. 1 indexed citations
10.
Su, Zhaohui, et al.. (2013). Extension of the hosmer-lemeshow goodness of fit statistic to linear models with repeated measurements. Value in Health. 16(3). A48–A48. 1 indexed citations
12.
Jo, Hyunji, A. Gringeri, Cindy Leissinger, et al.. (2011). PSY47 Evaluating the Cross-over Effect on Health-related Quality of Life in a Randomized Cross-over Study of Hemophilia-A Patients. Value in Health. 14(7). A418–A419. 1 indexed citations
13.
Pizzi, Laura, et al.. (2009). Impact of Transdermal Oxybutynin on Work Productivity in Patients with Overactive Bladder. PharmacoEconomics. 27(4). 329–339. 19 indexed citations
14.
Bharmal, Murtuza, et al.. (2008). Resource utilisation, charges and mortality following hospital inpatient admission for congestive heart failure among the elderly in the US. Journal of Medical Economics. 11(3). 397–414. 11 indexed citations
15.
Noskin, Gary A., Robert J. Rubin, Jerome J. Schentag, et al.. (2007). National Trends in Staphylococcus aureus Infection Rates: Impact on Economic Burden and Mortality over a 6-Year Period (1998-2003). Clinical Infectious Diseases. 45(9). 1132–1140. 156 indexed citations
16.
Noskin, Gary A., Robert J. Rubin, Jerome J. Schentag, et al.. (2007). Budget Impact Analysis of Rapid Screening for Staphylococcus aureus Colonization Among Patients Undergoing Elective Surgery in US Hospitals. Infection Control and Hospital Epidemiology. 29(1). 16–24. 19 indexed citations
17.
Gaumer, Gary & E. Gemmen. (2006). Chiropractic Users and Nonusers: Differences in Use, Attitudes, and Willingness to Use Nonmedical Doctors for Primary Care. Journal of Manipulative and Physiological Therapeutics. 29(7). 529–539. 13 indexed citations
18.
Noskin, Gary A., Robert J. Rubin, Jerome J. Schentag, et al.. (2005). The Burden of Staphylococcus aureus Infections on Hospitals in the United States. Archives of Internal Medicine. 165(15). 1756–1756. 230 indexed citations
19.
Sandler, Robert S., James E. Everhart, Mark Donowitz, et al.. (2002). The burden of selected digestive diseases in the United States. Gastroenterology. 122(5). 1500–1511. 1139 indexed citations breakdown →
20.
Gaumer, Gary, et al.. (2002). Barriers to expanding primary care roles for chiropractors: The role of chiropractic as primary care gatekeeper. Journal of Manipulative and Physiological Therapeutics. 25(7). 427–449. 14 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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