Wayne Volkmuth

1.6k citations
23 papers · 749 · h-index 12

Impact in

Papers in

    • Gene expression and cancer classification 5
    • Epigenetics and DNA Methylation 4
    • Genomics and Phylogenetic Studies 3
    • RNA and protein synthesis mechanisms 3
    • Cancer Genomics and Diagnostics 7

Wayne Volkmuth

22 papers receiving 724 citations

Peers

Wayne Volkmuth
Comparison fields: 5 of 91
  • Virology 40
  • Endocrine and Autonomic Systems 50
  • Immunology 123
  • Molecular Biology 368
  • Cognitive Neuroscience 91
Replace Katharina Imkeller with:
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Citations per field
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Citations per year

Countries citing papers authored by Wayne Volkmuth

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Wayne Volkmuth Line = papers co-authored together Wayne Volkmuth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015162
2 1999125
3 201790
4 200277
5 200266
6 201942
7 200233
8 201927
9 202126
10 200224
11 201917
12
Pharmaceutical target discovery using Guilt-by-Association: schizophrenia and Parkinson's disease genes.
199912
13 202410
14 200310
15
SST: An algorithm for searching sequence databases in time proportional to the logarithm of the database size
200010
16 20195
17 20244
18 20183
19 20232
20 20222

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 749 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Gene expression and cancer classification (5 papers), Epigenetics and DNA Methylation (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Genomics and Phylogenetic Studies (3 papers), RNA and protein synthesis mechanisms (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Virology (40 citations), Endocrine and Autonomic Systems (50 citations), Immunology (123 citations), Molecular Biology (368 citations) and Cognitive Neuroscience (91 citations). Wayne Volkmuth has collaborated with scholars based in United States, Finland and Japan. Frequent co-authors include Michael G. Walker, Tod M. Klingler, David A. Hodgson, Yiwen Fang, Jonathan Donson, C. Richter King, Daniel Emerling, David Oyen, Yevel Flores-García and Fidel Zavala. Their work appears in journals such as Journal of Clinical Oncology, Nature Communications, OMICS A Journal of Integrative Biology, Molecular Systems Design & Engineering and Bioinformatics.

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.

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