Richard A. Neher
- Modeling and Simulation top 0.2%
- COVID-19 epidemiological studies 11
- Infectious Diseases top 0.2%
- SARS-CoV-2 and COVID-19 Research 15
- HIV/AIDS drug development and treatment 8
- Virology top 1%
- HIV Research and Treatment 12
- Animal Science and Zoology top 1%
- Genetics top 1%
- Evolution and Genetic Dynamics 35
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- Genomics and Phylogenetic Studies 21
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- Influenza Virus Research Studies 15
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- Plant and animal studies 7
- Co-authors
- Trevor BedfordBoris I. ShraimanJohn HuddlestonVadim PullerEmma B. HodcroftJames HadfieldBarney PotterCharlton Callender
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Richard A. Neher
86 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Modeling and Simulation 874
- Infectious Diseases 3.5k
- Virology 605
- Animal Science and Zoology 546
- Genetics 1.4k
Countries citing papers authored by Richard A. Neher
This map shows the geographic impact of Richard A. Neher'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 Richard A. Neher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard A. Neher more than expected).
Fields of papers citing papers by Richard A. Neher
This network shows the impact of papers produced by Richard A. Neher. 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 Richard A. Neher. The network helps show where Richard A. Neher may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard A. Neher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 34 | |
| 8 | 2022 | 50 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 19 | |
| 11 | 2020 | 5 | |
| 12 | 2020 | 31 | |
| 13 | 2020 | 40 | |
| 14 | 2019 | 24 | |
| 15 | 2019 | 5 | |
| 16 | Nextstrain: real-time tracking of pathogen evolutionbreakdown → | 2018 | 1714 |
| 17 | 2017 | 56 | |
| 18 | 2017 | 61 | |
| 19 | 2017 | 82 | |
| 20 | 2016 | 141 |
About Richard A. Neher
Richard A. Neher is a scholar working on Virology, Modeling and Simulation and Infectious Diseases, having authored 93 papers that have together received 7.2k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (35 papers), Genomics and Phylogenetic Studies (21 papers), SARS-CoV-2 and COVID-19 Research (15 papers), Influenza Virus Research Studies (15 papers), HIV Research and Treatment (12 papers), COVID-19 epidemiological studies (11 papers), HIV/AIDS drug development and treatment (8 papers) and Plant and animal studies (7 papers). The work is most often cited by research in Modeling and Simulation (874 citations), Infectious Diseases (3.5k citations) and Virology (605 citations). Richard A. Neher has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Trevor Bedford, Boris I. Shraiman, John Huddleston, Vadim Puller, Emma B. Hodcroft, James Hadfield, Barney Potter, Charlton Callender, Colin Megill and Sidney M. Bell. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.