Michael Benigno
Impact in
- Urology top 10%
- Hair Growth and Disorders
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in ⓘ
-
- COVID-19 Clinical Research Studies 7
- Antifungal resistance and susceptibility 3
-
- Long-Term Effects of COVID-19 6
- Co-authors
- Deepa Malhotra (5 shared papers)Jennifer L. Nguyen (5 shared papers)Jennifer Hammond (4 shared papers)Anita Sung (4 shared papers)Birol Emir (3 shared papers)Manuela Di Fusco (2 shared papers)Kimberly M. Shea (1 shared paper)Jay Lin (1 shared paper)
- Journals
- BMC Medicine (2 papers)Open Forum Infectious Diseases (2 papers)Current Medical Research and Opinion (2 papers)JAMA Network Open (1 paper)IBM Journal of Research and Development (1 paper)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Michael Benigno
19 papers receiving 291 citations
Peers
Comparison fields: 5 of 85
- Urology 50
- Modeling and Simulation 34
- Infectious Diseases 107
- Dermatology 34
- Neurology 55
Countries citing papers authored by Michael Benigno
This map shows the geographic impact of Michael Benigno'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 Michael Benigno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Benigno more than expected).
Fields of papers citing papers by Michael Benigno
This network shows the impact of papers produced by Michael Benigno. 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 Michael Benigno. The network helps show where Michael Benigno may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Benigno, 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 | 2021 | 135 | |
| 2 | 2020 | 50 | |
| 3 | 2009 | 20 | |
| 4 | 2022 | 17 | |
| 5 | 2024 | 12 | |
| 6 | 2023 | 10 | |
| 7 | 2018 | 9 | |
| 8 | 2015 | 8 | |
| 9 | A Large Cross-Sectional Survey Study of the Prevalence of Alopecia Areata in the United States | 2020 | 6 |
| 10 | Direct intraperitoneal insemination (DIPI) for the treatment of refractory infertility unrelated to female organic pelvic disease. | 1989 | 6 |
| 11 | 2024 | 5 | |
| 12 | 2021 | 4 | |
| 13 | Pelvic adhesions and infertility classification, prevention and therapy. | 1982 | 4 |
| 14 | 2022 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Michael Benigno
Michael Benigno is a scholar working on Infectious Diseases, Neurology, Epidemiology, Surgery and Molecular Biology, having authored 20 papers that have together received 295 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), Long-Term Effects of COVID-19 (6 papers), Antifungal resistance and susceptibility (3 papers), Intensive Care Unit Cognitive Disorders (2 papers), Hair Growth and Disorders (2 papers), Fungal Infections and Studies (2 papers), COVID-19 and healthcare impacts (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Urology (50 citations), Modeling and Simulation (34 citations), Infectious Diseases (107 citations), Dermatology (34 citations) and Neurology (55 citations). Michael Benigno has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Deepa Malhotra, Jennifer L. Nguyen, Jennifer Hammond, Anita Sung, Birol Emir, Manuela Di Fusco, Kimberly M. Shea, Jay Lin, Frederick J. Angulo and Richard Chambers. Their work appears in journals such as BMC Medicine, Open Forum Infectious Diseases, Current Medical Research and Opinion, JAMA Network Open and IBM Journal of Research and Development.
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.