Ryan Kellogg
Impact in
- Health Informatics top 10%
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- Immune Response and Inflammation
Papers in
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- Gene Regulatory Network Analysis 3
- Single-cell and spatial transcriptomics 2
- Metabolomics and Mass Spectrometry Studies 2
- Metabolism, Diabetes, and Cancer 1
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- Immune Response and Inflammation 3
- Co-authors
- Savaş Tay (6 shared papers)M Snyder (6 shared papers)Jessilyn Dunn (2 shared papers)Tracey McLaughlin (1 shared paper)Dalia Perelman (1 shared paper)Alessandra Breschi (1 shared paper)Daniel R. Witt (1 shared paper)Rafael Gómez-Sjöberg (1 shared paper)
- Journals
- Nature Biomedical Engineering (1 paper)The Journal of Immunology (1 paper)PLoS Biology (1 paper)Circulation Research (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesSwitzerlandDenmark
In The Last Decade
Ryan Kellogg
14 papers receiving 866 citations
Peers
Comparison fields: 5 of 129
- Health Informatics 15
- Immunology 164
- Biophysics 44
- Cancer Research 110
- Endocrinology, Diabetes and Metabolism 117
Countries citing papers authored by Ryan Kellogg
This map shows the geographic impact of Ryan Kellogg'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 Ryan Kellogg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Kellogg more than expected).
Fields of papers citing papers by Ryan Kellogg
This network shows the impact of papers produced by Ryan Kellogg. 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 Ryan Kellogg. The network helps show where Ryan Kellogg may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Kellogg, 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 | 193 | |
| 2 | 2015 | 171 | |
| 3 | 2019 | 98 | |
| 4 | 2014 | 92 | |
| 5 | 2015 | 54 | |
| 6 | 2013 | 52 | |
| 7 | 2023 | 46 | |
| 8 | 2016 | 45 | |
| 9 | 2018 | 42 | |
| 10 | 2017 | 41 | |
| 11 | 2006 | 17 | |
| 12 | 2007 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2023 | 1 | |
| 15 | Relative Localization in Colony Robots | 2005 | 1 |
About Ryan Kellogg
Ryan Kellogg is a scholar working on Molecular Biology, Immunology, Mechanical Engineering, Cancer Research and Biomedical Engineering, having authored 15 papers that have together received 877 indexed citations. Recurring topics across this work include Immune Response and Inflammation (3 papers), Gene Regulatory Network Analysis (3 papers), Single-cell and spatial transcriptomics (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), NF-κB Signaling Pathways (2 papers), Modular Robots and Swarm Intelligence (2 papers), Diabetes Management and Research (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Health Informatics (15 citations), Immunology (164 citations), Biophysics (44 citations), Cancer Research (110 citations) and Endocrinology, Diabetes and Metabolism (117 citations). Ryan Kellogg has collaborated with scholars based in United States, Switzerland and Denmark. Frequent co-authors include Savaş Tay, M Snyder, Jessilyn Dunn, Tracey McLaughlin, Dalia Perelman, Alessandra Breschi, Daniel R. Witt, Rafael Gómez-Sjöberg, Anne Leyrat and Chengzhe Tian. Their work appears in journals such as Nature Biomedical Engineering, The Journal of Immunology, PLoS Biology, Circulation Research 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.