Wayne Volkmuth
Impact in
- Virology top 10%
Papers in
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- Gene expression and cancer classification 5
- Epigenetics and DNA Methylation 3
- Glycosylation and Glycoproteins Research 2
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- Cancer Genomics and Diagnostics 6
- Co-authors
- Michael G. Walker (4 shared papers)Tod M. Klingler (2 shared papers)David A. Hodgson (1 shared paper)Jonathan Donson (3 shared papers)Yiwen Fang (3 shared papers)Daniel Emerling (6 shared papers)C. Richter King (4 shared papers)Yevel Flores-García (3 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Nature Communications (2 papers)Bioinformatics (1 paper)Plant Molecular Biology (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Wayne Volkmuth
22 papers receiving 777 citations
Peers
Comparison fields: 5 of 88
- Virology 39
- Endocrine and Autonomic Systems 39
- Immunology 121
- Molecular Biology 369
- Public Health, Environmental and Occupational Health 134
Countries citing papers authored by Wayne Volkmuth
This map shows the geographic impact of Wayne Volkmuth'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 Wayne Volkmuth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Volkmuth more than expected).
Fields of papers citing papers by Wayne Volkmuth
This network shows the impact of papers produced by Wayne Volkmuth. 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 Wayne Volkmuth. The network helps show where Wayne Volkmuth may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Volkmuth, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 180 | |
| 2 | 1999 | 131 | |
| 3 | 2017 | 94 | |
| 4 | 2002 | 89 | |
| 5 | 2002 | 79 | |
| 6 | 2019 | 44 | |
| 7 | 2002 | 34 | |
| 8 | 2019 | 29 | |
| 9 | 2021 | 29 | |
| 10 | 2002 | 26 | |
| 11 | 2019 | 17 | |
| 12 | Pharmaceutical target discovery using Guilt-by-Association: schizophrenia and Parkinson's disease genes. | 1999 | 13 |
| 13 | SST: An algorithm for searching sequence databases in time proportional to the logarithm of the database size | 2000 | 11 |
| 14 | 2024 | 10 | |
| 15 | 2003 | 10 | |
| 16 | 2019 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 2 |
About Wayne Volkmuth
Wayne Volkmuth is a scholar working on Molecular Biology, Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 23 papers that have together received 818 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Gene expression and cancer classification (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Epigenetics and DNA Methylation (3 papers), Glycosylation and Glycoproteins Research (2 papers), T-cell and B-cell Immunology (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Virology (39 citations), Endocrine and Autonomic Systems (39 citations), Immunology (121 citations), Molecular Biology (369 citations) and Public Health, Environmental and Occupational Health (134 citations). Wayne Volkmuth has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Michael G. Walker, Tod M. Klingler, David A. Hodgson, Jonathan Donson, Yiwen Fang, Daniel Emerling, C. Richter King, Yevel Flores-García, Ian A. Wilson and David Oyen. Their work appears in journals such as Journal of Clinical Oncology, Nature Communications, Bioinformatics, Plant Molecular Biology and Journal for ImmunoTherapy of Cancer.
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.