Jacob Frelinger
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune responses and vaccinations
Papers in
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- Cell Image Analysis Techniques 6
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- T-cell and B-cell Immunology 3
- Co-authors
- Cliburn Chan (7 shared papers)Mike West (3 shared papers)Quanli Wang (1 shared paper)Greg Finak (2 shared papers)Raphaël Gottardo (2 shared papers)Marc A. Suchard (1 shared paper)Wenxin Jiang (2 shared papers)Mark M. Davis (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Cytometry Part A (2 papers)Journal of Computational and Graphical Statistics (1 paper)Cancer Immunology Immunotherapy (1 paper)Journal of Immunological Methods (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Jacob Frelinger
10 papers receiving 522 citations
Peers
Comparison fields: 5 of 69
- Biophysics 81
- Immunology 98
- Hardware and Architecture 35
- Statistics and Probability 53
- Molecular Biology 191
Countries citing papers authored by Jacob Frelinger
This map shows the geographic impact of Jacob Frelinger'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 Jacob Frelinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Frelinger more than expected).
Fields of papers citing papers by Jacob Frelinger
This network shows the impact of papers produced by Jacob Frelinger. 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 Jacob Frelinger. The network helps show where Jacob Frelinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob Frelinger, 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 | 162 | |
| 2 | 2010 | 122 | |
| 3 | 2017 | 111 | |
| 4 | 2013 | 69 | |
| 5 | 2015 | 23 | |
| 6 | 2010 | 19 | |
| 7 | 2008 | 10 | |
| 8 | 2014 | 10 | |
| 9 | 2010 | 8 | |
| 10 | 2012 | 1 |
About Jacob Frelinger
Jacob Frelinger is a scholar working on Biophysics, Immunology, Information Systems and Management, Artificial Intelligence and Molecular Biology, having authored 10 papers that have together received 535 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), Single-cell and spatial transcriptomics (4 papers), T-cell and B-cell Immunology (3 papers), Bayesian Methods and Mixture Models (3 papers), Scientific Computing and Data Management (2 papers), Clinical Laboratory Practices and Quality Control (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Biophysics (81 citations), Immunology (98 citations), Hardware and Architecture (35 citations), Statistics and Probability (53 citations) and Molecular Biology (191 citations). Jacob Frelinger has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Cliburn Chan, Mike West, Quanli Wang, Greg Finak, Raphaël Gottardo, Marc A. Suchard, Wenxin Jiang, Mark M. Davis, Evan William Newell and Spyros A. Kalams. Their work appears in journals such as PLoS Computational Biology, Cytometry Part A, Journal of Computational and Graphical Statistics, Cancer Immunology Immunotherapy and Journal of Immunological Methods.
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.