Josh Eckels
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Advanced Biosensing Techniques and Applications
- Ubiquitin and proteasome pathways
Papers in
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- Advanced Biosensing Techniques and Applications 3
- Biomedical Text Mining and Ontologies 2
- Bioinformatics and Genomic Networks 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Advanced biosensing and bioanalysis techniques 1
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- Advanced Proteomics Techniques and Applications 4
- Co-authors
- Vagisha Sharma (5 shared papers)Brendan MacLean (5 shared papers)Michael J. MacCoss (5 shared papers)Jacob D. Jaffe (2 shared papers)Birgit Schilling (2 shared papers)Christina Ludwig (1 shared paper)Greg Taylor (1 shared paper)Andrew B. Stergachis (1 shared paper)
- Journals
- Journal of Proteome Research (3 papers)BMC Bioinformatics (2 papers)Tuberculosis (1 paper)Bioinformatics (1 paper)Molecular & Cellular Proteomics (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Josh Eckels
9 papers receiving 500 citations
Peers
Comparison fields: 5 of 94
- Spectroscopy 204
- Molecular Biology 341
- Information Systems and Management 31
- Virology 14
- Biophysics 12
Countries citing papers authored by Josh Eckels
This map shows the geographic impact of Josh Eckels'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 Josh Eckels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josh Eckels more than expected).
Fields of papers citing papers by Josh Eckels
This network shows the impact of papers produced by Josh Eckels. 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 Josh Eckels. The network helps show where Josh Eckels may publish in the future.
Co-authors
The 25 scholars most cited alongside Josh Eckels, 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 | 2014 | 166 | |
| 2 | 2018 | 158 | |
| 3 | 2011 | 87 | |
| 4 | 2016 | 46 | |
| 5 | 2013 | 14 | |
| 6 | 2024 | 10 | |
| 7 | 2011 | 10 | |
| 8 | 2015 | 8 | |
| 9 | 2020 | 5 |
About Josh Eckels
Josh Eckels is a scholar working on Molecular Biology, Spectroscopy, Information Systems and Management, Infectious Diseases and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 504 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Advanced Biosensing Techniques and Applications (3 papers), Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (2 papers), Scientific Computing and Data Management (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Data Management and Algorithms (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Spectroscopy (204 citations), Molecular Biology (341 citations), Information Systems and Management (31 citations), Virology (14 citations) and Biophysics (12 citations). Josh Eckels has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Vagisha Sharma, Brendan MacLean, Michael J. MacCoss, Jacob D. Jaffe, Birgit Schilling, Christina Ludwig, Greg Taylor, Andrew B. Stergachis, Ping Yan and Jeffrey R. Whiteaker. Their work appears in journals such as Journal of Proteome Research, BMC Bioinformatics, Tuberculosis, Bioinformatics and Molecular & Cellular Proteomics.
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.