Devin P. Sullivan
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Gene Regulatory Network Analysis 3
- Bioinformatics and Genomic Networks 2
- Microbial Metabolic Engineering and Bioproduction 2
- Ubiquitin and proteasome pathways 1
-
- Cell Image Analysis Techniques 4
- Co-authors
- Robert F. Murphy (5 shared papers)Joshua Kangas (1 shared paper)Armaghan W. Naik (1 shared paper)Emma Lundberg (3 shared papers)Mikaela Wiking (1 shared paper)Casper F. Winsnes (1 shared paper)Lovisa Åkesson (1 shared paper)B. Revaz (1 shared paper)
- Journals
- Nature Biotechnology (1 paper)PROTEOMICS (1 paper)PLoS Computational Biology (1 paper)Oncotarget (1 paper)Molecular Biology of the Cell (1 paper)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Devin P. Sullivan
10 papers receiving 239 citations
Peers
Comparison fields: 5 of 88
- Biophysics 83
- Health Informatics 5
- Media Technology 32
- Ecological Modeling 14
- Structural Biology 3
Countries citing papers authored by Devin P. Sullivan
This map shows the geographic impact of Devin P. Sullivan'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 Devin P. Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devin P. Sullivan more than expected).
Fields of papers citing papers by Devin P. Sullivan
This network shows the impact of papers produced by Devin P. Sullivan. 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 Devin P. Sullivan. The network helps show where Devin P. Sullivan may publish in the future.
Co-authors
The 25 scholars most cited alongside Devin P. Sullivan, 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 | 2018 | 127 | |
| 2 | 2016 | 38 | |
| 3 | 2016 | 27 | |
| 4 | 2015 | 22 | |
| 5 | 2017 | 19 | |
| 6 | 2015 | 4 | |
| 7 | 2020 | 3 | |
| 8 | 2023 | 2 | |
| 9 | Machine learning and data mining for IPv6 network defence | 2018 | 2 |
| 10 | 2018 | 2 |
About Devin P. Sullivan
Devin P. Sullivan is a scholar working on Molecular Biology, Biophysics, Cell Biology, Spectroscopy and Computer Networks and Communications, having authored 10 papers that have together received 246 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Gene Regulatory Network Analysis (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Ubiquitin and proteasome pathways (1 paper), Menstrual Health and Disorders (1 paper) and Morphological variations and asymmetry (1 paper). The work is most often cited by research in Biophysics (83 citations), Health Informatics (5 citations), Media Technology (32 citations), Ecological Modeling (14 citations) and Structural Biology (3 citations). Devin P. Sullivan has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Robert F. Murphy, Joshua Kangas, Armaghan W. Naik, Emma Lundberg, Mikaela Wiking, Casper F. Winsnes, Lovisa Åkesson, B. Revaz, Kevin Smith and Rutger Schutten. Their work appears in journals such as Nature Biotechnology, PROTEOMICS, PLoS Computational Biology, Oncotarget and Molecular Biology of the Cell.
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.