Travis C. Porco
- Ophthalmology top 0.1%
- Glaucoma and retinal disorders 59
- Retinal Diseases and Treatments 47
- Ocular Infections and Treatments 35
- Ocular Diseases and Behçet’s Syndrome 32
- Microbiology top 0.2%
- Reproductive tract infections research 59
- Modeling and Simulation top 0.2%
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology 29
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- Corneal surgery and disorders 33
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- Syphilis Diagnosis and Treatment 28
- Co-authors
- Thomas M. LietmanJeremy D. KeenanSally BlowerNisha R. AcharyaKathryn J. RayBruce D. GaynorStephen D. McLeodZhaoxia Zhou
- Journals
- New England Journal of Medicine (5 papers)Proceedings of the National Academy of Sciences (3 papers)The Lancet (2 papers)
- Partner nations
- United StatesUnited KingdomNiger
In The Last Decade
Travis C. Porco
348 papers receiving 9.5k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Ophthalmology 3.1k
- Microbiology 1.2k
- Modeling and Simulation 790
- Infectious Diseases 2.4k
- Applied Microbiology and Biotechnology 212
Countries citing papers authored by Travis C. Porco
This map shows the geographic impact of Travis C. Porco'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 Travis C. Porco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis C. Porco more than expected).
Fields of papers citing papers by Travis C. Porco
This network shows the impact of papers produced by Travis C. Porco. 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 Travis C. Porco. The network helps show where Travis C. Porco may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Travis C. Porco, 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 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 13 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 96 | |
| 14 | 2019 | 7 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 6 | |
| 17 | 2018 | 16 | |
| 18 | 2014 | 2 | |
| 19 | 2011 | 6 | |
| 20 | 2001 | 262 |
About Travis C. Porco
Travis C. Porco is a scholar working on Ophthalmology, Microbiology and Modeling and Simulation, having authored 357 papers that have together received 9.8k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (59 papers), Reproductive tract infections research (59 papers), Retinal Diseases and Treatments (47 papers), Ocular Infections and Treatments (35 papers), Corneal surgery and disorders (33 papers), Ocular Diseases and Behçet’s Syndrome (32 papers), Tuberculosis Research and Epidemiology (29 papers) and Syphilis Diagnosis and Treatment (28 papers). The work is most often cited by research in Ophthalmology (3.1k citations), Microbiology (1.2k citations) and Modeling and Simulation (790 citations). Travis C. Porco has collaborated with scholars based in United States, United Kingdom and Niger. Frequent co-authors include Thomas M. Lietman, Jeremy D. Keenan, Sally Blower, Nisha R. Acharya, Kathryn J. Ray, Bruce D. Gaynor, Stephen D. McLeod, Zhaoxia Zhou, Catherine E. Oldenburg and Paul M. Emerson. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.