Eric J. Duval
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 5
-
- Long-Term Effects of COVID-19 3
- Co-authors
- Lisa M. Barton (8 shared papers)Edana Stroberg (8 shared papers)Sanjay Mukhopadhyay (8 shared papers)Subha Ghosh (1 shared paper)Nour Chams (1 shared paper)Ali Shams (1 shared paper)Mohamad Raad (1 shared paper)Sana Chams (1 shared paper)
- Journals
- Frontiers in Public Health (1 paper)Diagnostic Pathology (1 paper)Journal of Medicinal Chemistry (1 paper)Laboratory Investigation (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Eric J. Duval
10 papers receiving 1.1k citations
Eric J. Duval's Hit Papers
Peers
Comparison fields: 5 of 124
- Infectious Diseases 690
- Neurology 334
- Dermatology 75
- Modeling and Simulation 38
- Obstetrics and Gynecology 63
Countries citing papers authored by Eric J. Duval
This map shows the geographic impact of Eric J. Duval'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 Eric J. Duval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric J. Duval more than expected).
Fields of papers citing papers by Eric J. Duval
This network shows the impact of papers produced by Eric J. Duval. 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 Eric J. Duval. The network helps show where Eric J. Duval may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric J. Duval, 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 | COVID-19 Autopsies, Oklahoma, USA Hit paper breakdown → | 2020 | 602 |
| 2 | 2020 | 206 | |
| 3 | 2020 | 119 | |
| 4 | 2020 | 68 | |
| 5 | 2012 | 62 | |
| 6 | 2021 | 9 | |
| 7 | A Federated Search and Social Recommendation Widget | 2011 | 8 |
| 8 | 2021 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 3 |
About Eric J. Duval
Eric J. Duval is a scholar working on Infectious Diseases, Neurology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Information Systems, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Long-Term Effects of COVID-19 (3 papers), COVID-19 diagnosis using AI (2 papers), Digital Imaging for Blood Diseases (1 paper), Prostate Cancer Treatment and Research (1 paper), Personal Information Management and User Behavior (1 paper) and Usability and User Interface Design (1 paper). The work is most often cited by research in Infectious Diseases (690 citations), Neurology (334 citations), Dermatology (75 citations), Modeling and Simulation (38 citations) and Obstetrics and Gynecology (63 citations). Eric J. Duval has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Lisa M. Barton, Edana Stroberg, Sanjay Mukhopadhyay, Subha Ghosh, Nour Chams, Ali Shams, Mohamad Raad, Sana Chams, Inaya Hajj Hussein and Sambit K. Mohanty. Their work appears in journals such as Frontiers in Public Health, Diagnostic Pathology, Journal of Medicinal Chemistry, Laboratory Investigation and Journal of Virology.
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.