Daniel Fort
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 4
- Acute Ischemic Stroke Management 3
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- Hepatocellular Carcinoma Treatment and Prognosis 5
- Co-authors
- Eboni G. Price‐Haywood (11 shared papers)Leonardo Seoane (7 shared papers)Jeffrey H. Burton (7 shared papers)Justin Starren (1 shared paper)Pamela L Shaw (1 shared paper)Timothy M. Herr (1 shared paper)Karen E Gutzman (1 shared paper)Julia Garcia‐Diaz (4 shared papers)
- Journals
- Journal of Vascular Surgery (7 papers)Cancers (3 papers)Medical Care (2 papers)Emerging infectious diseases (2 papers)Circulation (1 paper)
- Partner nations
- United StatesAustraliaVietnam
In The Last Decade
Daniel Fort
42 papers receiving 1.6k citations
Daniel Fort's Hit Papers
Peers
Comparison fields: 5 of 124
- Modeling and Simulation 120
- Infectious Diseases 396
- Health 129
- Applied Microbiology and Biotechnology 16
- Oncology 214
Countries citing papers authored by Daniel Fort
This map shows the geographic impact of Daniel Fort'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 Daniel Fort with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fort more than expected).
Fields of papers citing papers by Daniel Fort
This network shows the impact of papers produced by Daniel Fort. 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 Daniel Fort. The network helps show where Daniel Fort may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Fort, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Hospitalization and Mortality among Black Patients and White Patients with Covid-19 Hit paper breakdown → | 2020 | 1162 |
| 2 | 2017 | 114 | |
| 3 | 2023 | 55 | |
| 4 | 2017 | 47 | |
| 5 | 2020 | 26 | |
| 6 | 2021 | 24 | |
| 7 | 2022 | 21 | |
| 8 | 2021 | 21 | |
| 9 | 2020 | 19 | |
| 10 | 2023 | 17 | |
| 11 | 2022 | 16 | |
| 12 | 2020 | 14 | |
| 13 | Considerations for using research data to verify clinical data accuracy. | 2014 | 13 |
| 14 | 2021 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2021 | 6 |
About Daniel Fort
Daniel Fort is a scholar working on Epidemiology, Hepatology, Molecular Biology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Acute Ischemic Stroke Management (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Modeling and Simulation (120 citations), Infectious Diseases (396 citations), Health (129 citations), Applied Microbiology and Biotechnology (16 citations) and Oncology (214 citations). Daniel Fort has collaborated with scholars based in United States, Australia and Vietnam. Frequent co-authors include Eboni G. Price‐Haywood, Leonardo Seoane, Jeffrey H. Burton, Justin Starren, Pamela L Shaw, Timothy M. Herr, Karen E Gutzman, Julia Garcia‐Diaz, Amy K. Feehan and Abel Kho. Their work appears in journals such as Journal of Vascular Surgery, Cancers, Medical Care, Emerging infectious diseases and Circulation.
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.