Juan E. Abrahante
- Molecular Biology top 5%
- Infectious Diseases top 1%
- Parasitology top 0.5%
- Animal Science and Zoology top 1%
- Genetics top 5%
- Co-authors
- Michael P. MurtaughEric A. MillerAnn E. RougvieMitchell S. AbrahamsenTomasz StadejekFrederick Chi-Ching LeungTommy Tsan‐Yuk LamVivek Anantharaman
- Topics
- Viral gastroenteritis research and epidemiology (9 papers)Animal Virus Infections Studies (8 papers)Virus-based gene therapy research (7 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Juan E. Abrahante
79 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.5k
- Infectious Diseases 982
- Parasitology 651
- Animal Science and Zoology 561
- Genetics 517
Countries citing papers authored by Juan E. Abrahante
This map shows the geographic impact of Juan E. Abrahante'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 Juan E. Abrahante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan E. Abrahante more than expected).
Fields of papers citing papers by Juan E. Abrahante
This network shows the impact of papers produced by Juan E. Abrahante. 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 Juan E. Abrahante. The network helps show where Juan E. Abrahante may publish in the future.
Co-authorship network of co-authors of Juan E. Abrahante
This figure shows the co-authorship network connecting the top 25 collaborators of Juan E. Abrahante. A scholar is included among the top collaborators of Juan E. Abrahante 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 Juan E. Abrahante. Juan E. Abrahante is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 27 | |
| 8 | 13 | |
| 9 | 9 | |
| 10 | 27 | |
| 11 | IFN-I response timing relative to virus replication determines MERS coronavirus infection outcomesbreakdown → | 405 |
| 12 | 1 | |
| 13 | 23 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 16 | |
| 17 | 137 | |
| 18 | 12 | |
| 19 | Complete Genome Sequence of the Apicomplexan, Cryptosporidium parvumbreakdown → | 724 |
| 20 | 149 |
About Juan E. Abrahante
Juan E. Abrahante is a scholar working on Aging, Biological Psychiatry and Animal Science and Zoology, having authored 85 papers that have together received 3.6k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Animal Virus Infections Studies (8 papers) and Virus-based gene therapy research (7 papers). The work is most often cited by research in Aging (200 citations), Parasitology (651 citations) and Animal Science and Zoology (561 citations). Juan E. Abrahante has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Michael P. Murtaugh, Eric A. Miller, Ann E. Rougvie, Mitchell S. Abrahamsen, Tomasz Stadejek, Frederick Chi-Ching Leung, Tommy Tsan‐Yuk Lam, Vivek Anantharaman, L. Aravind and Shinichiro Enomoto. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.