Michael Benigno

19 papers receiving 291 citations

Peers

Michael Benigno
Comparison fields: 5 of 85
  • Urology 50
  • Modeling and Simulation 34
  • Infectious Diseases 107
  • Dermatology 34
  • Neurology 55
Replace Manish Garg with:
Manish Garg India
Rama Vunnam United States
Tatiana Farias de Oliveira Brazil
María Fernanda Carrillo-Vega Mexico
Rodrigo da Rosa Mesquita Brazil
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Lajos Szakó Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Michael Benigno

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 2021135
2 202050
3 200920
4 202217
5 202412
6 202310
7 20189
8 20158
9
A Large Cross-Sectional Survey Study of the Prevalence of Alopecia Areata in the United States
20206
10
Direct intraperitoneal insemination (DIPI) for the treatment of refractory infertility unrelated to female organic pelvic disease.
19896
11 20245
12 20214
13
Pelvic adhesions and infertility classification, prevention and therapy.
19824
14 20223
15 20212
16 20241
17 20231
18 20211
19 20221
20 20250

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.

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