Taylor Heald‐Sargent
- Infectious Diseases top 2%
- Epidemiology
- Animal Science and Zoology top 5%
- Molecular Biology
- Neurology top 10%
- Co-authors
- Tom GallagherAna ShullaJincun ZhaoStanley PerlmanGitanjali SubramanyaWilliam J. MullerAmi B. PatelJason Rippe
- Topics
- SARS-CoV-2 and COVID-19 Research (8 papers)COVID-19 Clinical Research Studies (4 papers)Herpesvirus Infections and Treatments (4 papers)
- Partner nations
- United StatesUnited KingdomVietnam
In The Last Decade
Taylor Heald‐Sargent
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Infectious Diseases 826
- Epidemiology 175
- Animal Science and Zoology 172
- Molecular Biology 152
- Neurology 120
Countries citing papers authored by Taylor Heald‐Sargent
This map shows the geographic impact of Taylor Heald‐Sargent'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 Taylor Heald‐Sargent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor Heald‐Sargent more than expected).
Fields of papers citing papers by Taylor Heald‐Sargent
This network shows the impact of papers produced by Taylor Heald‐Sargent. 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 Taylor Heald‐Sargent. The network helps show where Taylor Heald‐Sargent may publish in the future.
Co-authorship network of co-authors of Taylor Heald‐Sargent
This figure shows the co-authorship network connecting the top 25 collaborators of Taylor Heald‐Sargent. A scholar is included among the top collaborators of Taylor Heald‐Sargent 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 Taylor Heald‐Sargent. Taylor Heald‐Sargent is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 20 | |
| 9 | 20 | |
| 10 | 198 | |
| 11 | 10 | |
| 12 | 11 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 9 | |
| 16 | 247 | |
| 17 | 6 | |
| 18 | A Transmembrane Serine Protease Is Linked to the Severe Acute Respiratory Syndrome Coronavirus Receptor and Activates Virus Entrybreakdown → | 514 |
| 19 | 35 | |
| 20 | 23 |
About Taylor Heald‐Sargent
Taylor Heald‐Sargent is a scholar working on Infectious Diseases, Virology and Transplantation, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (4 papers) and Herpesvirus Infections and Treatments (4 papers). The work is most often cited by research in Infectious Diseases (826 citations), Animal Science and Zoology (172 citations) and Modeling and Simulation (64 citations). Taylor Heald‐Sargent has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Tom Gallagher, Ana Shulla, Jincun Zhao, Stanley Perlman, Gitanjali Subramanya, William J. Muller, Ami B. Patel, Jason Rippe, Larry K. Kociolek and Xiaotian Zheng. Their work appears in journals such as Journal of the American Chemical Society, Journal of Virology and Transplantation.
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.