Richard M. Walsh
- Infectious Diseases top 1%
- Antifungal resistance and susceptibility 5
- SARS-CoV-2 and COVID-19 Research 4
- Viral gastroenteritis research and epidemiology 3
- Structural Biology top 5%
- Animal Science and Zoology top 2%
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways 9
- Glycosylation and Glycoproteins Research 6
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- Peptidase Inhibition and Analysis 9
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- Enzyme Structure and Function 6
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- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- Jinfeng TengRyan HibbsJun ZhangYongfei CaiTianshu XiaoSophia Rits‐VollochBing ChenHanqin Peng
- Journals
- Nature (3 papers)Science (4 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Richard M. Walsh
49 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Infectious Diseases 1.3k
- Cellular and Molecular Neuroscience 418
- Structural Biology 32
- Animal Science and Zoology 224
- Molecular Biology 1.4k
Countries citing papers authored by Richard M. Walsh
This map shows the geographic impact of Richard M. Walsh'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 M. Walsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard M. Walsh more than expected).
Fields of papers citing papers by Richard M. Walsh
This network shows the impact of papers produced by Richard M. Walsh. 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 M. Walsh. The network helps show where Richard M. Walsh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard M. Walsh, 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 | 0 | |
| 2 | 2024 | 16 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 9 | |
| 7 | 2022 | 20 | |
| 8 | 2022 | 4 | |
| 9 | Structural impact on SARS-CoV-2 spike protein by D614G substitutionbreakdown → | 2021 | 270 |
| 10 | 2021 | 26 | |
| 11 | Membrane fusion and immune evasion by the spike protein of SARS-CoV-2 Delta variantbreakdown → | 2021 | 190 |
| 12 | 2021 | 154 | |
| 13 | Distinct conformational states of SARS-CoV-2 spike proteinbreakdown → | 2020 | 765 |
| 14 | 2020 | 238 | |
| 15 | 2019 | 135 | |
| 16 | 2017 | 46 | |
| 17 | 2016 | 37 | |
| 18 | 2013 | 55 | |
| 19 | 2001 | 11 | |
| 20 | 1982 | 8 |
About Richard M. Walsh
Richard M. Walsh is a scholar working on Structural Biology, Infectious Diseases and Oncology, having authored 51 papers that have together received 2.8k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (9 papers), Ubiquitin and proteasome pathways (9 papers), Glycosylation and Glycoproteins Research (6 papers), Enzyme Structure and Function (6 papers), Antifungal resistance and susceptibility (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Cellular and Molecular Neuroscience (418 citations) and Structural Biology (32 citations). Richard M. Walsh has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Jinfeng Teng, Ryan Hibbs, Jun Zhang, Yongfei Cai, Tianshu Xiao, Sophia Rits‐Volloch, Bing Chen, Hanqin Peng, Sarah M. Sterling and Shaun Rawson. Their work appears in journals such as Nature, Science 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.