Daniel Fort

2.8k total citations · 1 hit paper
46 papers, 1.6k citations indexed

About

Daniel Fort is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Hepatology. According to data from OpenAlex, Daniel Fort has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 10 papers in Pulmonary and Respiratory Medicine and 8 papers in Hepatology. Recurrent topics in Daniel Fort's work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cerebrovascular and Carotid Artery Diseases (8 papers) and Acute Ischemic Stroke Management (8 papers). Daniel Fort is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cerebrovascular and Carotid Artery Diseases (8 papers) and Acute Ischemic Stroke Management (8 papers). Daniel Fort collaborates with scholars based in United States, Australia and Vietnam. Daniel Fort's co-authors include Eboni G. Price‐Haywood, Leonardo Seoane, Jeffrey H. Burton, Pamela L Shaw, Timothy M. Herr, Justin Starren, Julia Garcia‐Diaz, Amy K. Feehan, Adam Wilcox and Norrina B. Allen and has published in prestigious journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Fort

42 papers receiving 1.6k citations

Hit Papers

Hospitalization and Mortality among Black Patients and Wh... 2020 2026 2022 2024 2020 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Fort United States 13 619 468 291 286 226 46 1.6k
Leonardo Seoane United States 17 661 1.1× 473 1.0× 277 1.0× 281 1.0× 220 1.0× 55 1.9k
Daniel Pan United Kingdom 14 552 0.9× 291 0.6× 204 0.7× 325 1.1× 185 0.8× 67 1.5k
Shirley Sze United Kingdom 15 477 0.8× 295 0.6× 188 0.6× 300 1.0× 160 0.7× 58 1.8k
Nia Reed United States 4 742 1.2× 377 0.8× 179 0.6× 347 1.2× 328 1.5× 7 1.6k
Ellen O. Boundy United States 10 746 1.2× 379 0.8× 242 0.8× 390 1.4× 328 1.5× 19 2.4k
Michael Parker Canada 2 390 0.6× 429 0.9× 500 1.7× 291 1.0× 136 0.6× 3 2.0k
Liang En Wee Singapore 21 384 0.6× 269 0.6× 188 0.6× 152 0.5× 138 0.6× 108 1.3k
Katherine Mackey United States 16 371 0.6× 240 0.5× 249 0.9× 215 0.8× 146 0.6× 35 1.5k
Christopher Martin United States 21 395 0.6× 385 0.8× 190 0.7× 244 0.9× 97 0.4× 65 2.1k
Virginia B. Bowen United States 13 974 1.6× 497 1.1× 345 1.2× 488 1.7× 359 1.6× 27 2.7k

Countries citing papers authored by Daniel Fort

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Fort

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Fort. A scholar is included among the top collaborators of Daniel Fort based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Fort. Daniel Fort is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bazán, Hernan A., Daniel Fort, Laurie D. Snyder, et al.. (2025). Precision in Stroke Care: Novel Model for Predicting Functional Independence in Urgent Carotid Intervention Patients. Journal of the American College of Surgeons. 240(4). 491–504.
4.
Kim, Grace J., Jacob H. Elnaggar, Amy K. Feehan, et al.. (2024). A bioinformatic analysis of T-cell epitope diversity in SARS-CoV-2 variants: association with COVID-19 clinical severity in the United States population. Frontiers in Immunology. 15. 1357731–1357731. 5 indexed citations
5.
Allen, Joseph P., et al.. (2023). Impact of presenting stroke severity and thrombolysis on outcomes following urgent carotid interventions. Journal of Vascular Surgery. 78(3). 702–710. 3 indexed citations
6.
Schneider, Michael, Tyler Sandow, Juan Gimenez, et al.. (2023). α-Fetoprotein, α-Fetoprotein-L3, and Des-γ-Carboxy Prothrombin Stratify Hepatocellular Carcinoma Treatment Response and Progression Risk. SHILAP Revista de lepidopterología. 3(3). 316–325. 2 indexed citations
7.
Bidwell, Jonathan, et al.. (2023). Ochsner Emergency Department Overcrowding Scale (OEDOCS): predicting Emergency Department crowding among diverse academic hospital settings. PubMed Central.
8.
Patton, Michael J., Carlos J. Orihuela, Kevin S. Harrod, et al.. (2023). COVID-19 bacteremic co-infection is a major risk factor for mortality, ICU admission, and mechanical ventilation. Critical Care. 27(1). 34–34. 50 indexed citations
10.
Fort, Daniel, et al.. (2022). Clopidogrel resistance is common in patients undergoing vascular and coronary interventions. Vascular. 31(1). 58–63. 8 indexed citations
11.
Sandow, Tyler, et al.. (2022). Distinct Gene Expression Profiles in Viable Hepatocellular Carcinoma Treated With Liver-Directed Therapy. Frontiers in Oncology. 12. 809860–809860. 2 indexed citations
12.
Marsolo, Keith, Sengwee Toh, Kevin Haynes, et al.. (2022). Assessing the impact of privacy-preserving record linkage on record overlap and patient demographic and clinical characteristics in PCORnet®, the National Patient-Centered Clinical Research Network. Journal of the American Medical Informatics Association. 30(3). 447–455. 15 indexed citations
13.
14.
Feehan, Amy K., Daniel Fort, Jeffrey H. Burton, et al.. (2021). The importance of anosmia, ageusia and age in community presentation of symptomatic and asymptomatic SARS-CoV-2 infection in Louisiana, USA; a cross-sectional prevalence study. Clinical Microbiology and Infection. 27(4). 633.e9–633.e16. 7 indexed citations
15.
Fort, Daniel, et al.. (2021). Ultrasound Stratification of Hepatic Steatosis Using Hepatorenal Index. Diagnostics. 11(8). 1443–1443. 20 indexed citations
16.
Sandow, Tyler, et al.. (2021). PD-1 expression in hepatocellular carcinoma predicts liver-directed therapy response and bridge-to-transplant survival. Cancer Immunology Immunotherapy. 71(6). 1453–1465. 6 indexed citations
17.
Fort, Daniel, et al.. (2020). Locally Informed Modeling to Predict Hospital and Intensive Care Unit Capacity During the COVID-19 Epidemic. Ochsner Journal. 20(3). 285–292. 6 indexed citations
18.
Feehan, Amy K., Daniel Fort, Jeffrey H. Burton, et al.. (2020). Racial and Workplace Disparities in Seroprevalence of SARS-CoV-2, Baton Rouge, Louisiana, USA. Emerging infectious diseases. 27(1). 26 indexed citations
19.
Feehan, Amy K., et al.. (2020). Seroprevalence of SARS-CoV-2 and Infection Fatality Ratio, Orleans and Jefferson Parishes, Louisiana, USA, May 2020. Emerging infectious diseases. 26(11). 2765–2768. 19 indexed citations
20.
Hanauer, David A., Gregory W. Hruby, Daniel Fort, et al.. (2014). What Is Asked in Clinical Data Request Forms? A Multi-site Thematic Analysis of Forms Towards Better Data Access Support.. PubMed. 2014. 616–25. 5 indexed citations

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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