Jonathon E. Mohl
Impact in
- Virology top 10%
- HIV Research and Treatment
Papers in
-
- Genomics and Phylogenetic Studies 7
- Glycosylation and Glycoproteins Research 3
- Machine Learning in Bioinformatics 3
- Genetics 6
- Genetic and phenotypic traits in livestock 3
- Genomics and Rare Diseases 2
- Co-authors
- Anjali Joshi (1 shared paper)Himanshu Garg (1 shared paper)Ming‐Ying Leung (8 shared papers)Thomas A. Gerken (2 shared papers)Philip Lavretsky (6 shared papers)Joshua I. Brown (3 shared papers)Nancy Rotzel McInerney (1 shared paper)Robert C. Fleischer (1 shared paper)
- Journals
- Biochemistry (2 papers)Viruses (2 papers)Glycobiology (1 paper)Molecular Ecology (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- United StatesAustraliaPuerto Rico
In The Last Decade
Jonathon E. Mohl
26 papers receiving 355 citations
Peers
Comparison fields: 5 of 81
- Virology 64
- Infectious Diseases 52
- Immunology 51
- Ecology 55
- Ecological Modeling 8
Countries citing papers authored by Jonathon E. Mohl
This map shows the geographic impact of Jonathon E. Mohl'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 Jonathon E. Mohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathon E. Mohl more than expected).
Fields of papers citing papers by Jonathon E. Mohl
This network shows the impact of papers produced by Jonathon E. Mohl. 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 Jonathon E. Mohl. The network helps show where Jonathon E. Mohl may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathon E. Mohl, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 97 | |
| 2 | 2019 | 48 | |
| 3 | 2019 | 44 | |
| 4 | 2020 | 32 | |
| 5 | 2018 | 31 | |
| 6 | 2020 | 31 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 2 |
About Jonathon E. Mohl
Jonathon E. Mohl is a scholar working on Molecular Biology, Genetics, Virology, Atmospheric Science and Environmental Chemistry, having authored 30 papers that have together received 361 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Glycosylation and Glycoproteins Research (3 papers), Machine Learning in Bioinformatics (3 papers), Genetic and phenotypic traits in livestock (3 papers), Cancer Genomics and Diagnostics (2 papers), Computational Drug Discovery Methods (2 papers), Genomics and Rare Diseases (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Virology (64 citations), Infectious Diseases (52 citations), Immunology (51 citations), Ecology (55 citations) and Ecological Modeling (8 citations). Jonathon E. Mohl has collaborated with scholars based in United States, Australia and Puerto Rico. Frequent co-authors include Anjali Joshi, Himanshu Garg, Ming‐Ying Leung, Thomas A. Gerken, Philip Lavretsky, Joshua I. Brown, Nancy Rotzel McInerney, Robert C. Fleischer, Armando Varela-Ramı́rez and Kevin G. McCracken. Their work appears in journals such as Biochemistry, Viruses, Glycobiology, Molecular Ecology and Frontiers in Bioengineering and Biotechnology.
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.