Derek Reiman
Impact in
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- Gut microbiota and health
- Genomics and Phylogenetic Studies
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
Papers in
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- Gut microbiota and health 8
- Genomics and Phylogenetic Studies 3
- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 2
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- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 2
- Co-authors
- Yang Dai (11 shared papers)Ahmed A. Metwally (3 shared papers)Brian T. Layden (3 shared papers)Jun Sun (1 shared paper)David L. Perkins (1 shared paper)Patricia W. Finn (1 shared paper)Philip S. Yu (1 shared paper)Aly A. Khan (5 shared papers)
- Journals
- PLoS Computational Biology (3 papers)Nature Communications (1 paper)Reproductive Sciences (1 paper)Cell Host & Microbe (1 paper)Microbial Genomics (1 paper)
- Partner nations
- United StatesGermanyNorway
In The Last Decade
Derek Reiman
17 papers receiving 270 citations
Peers
Comparison fields: 5 of 69
- Biological Psychiatry 8
- Molecular Biology 187
- Biophysics 11
- Obstetrics and Gynecology 9
- Immunology 21
Countries citing papers authored by Derek Reiman
This map shows the geographic impact of Derek Reiman'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 Derek Reiman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek Reiman more than expected).
Fields of papers citing papers by Derek Reiman
This network shows the impact of papers produced by Derek Reiman. 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 Derek Reiman. The network helps show where Derek Reiman may publish in the future.
Co-authors
The 25 scholars most cited alongside Derek Reiman, 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 | 2020 | 61 | |
| 2 | 2021 | 52 | |
| 3 | 2019 | 36 | |
| 4 | 2017 | 30 | |
| 5 | 2022 | 25 | |
| 6 | 2019 | 11 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2018 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2014 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2024 | 0 |
About Derek Reiman
Derek Reiman is a scholar working on Molecular Biology, Immunology, Artificial Intelligence, Genetics and Pharmacology, having authored 18 papers that have together received 272 indexed citations. Recurring topics across this work include Gut microbiota and health (8 papers), T-cell and B-cell Immunology (4 papers), Machine Learning in Healthcare (3 papers), Genomics and Phylogenetic Studies (3 papers), Gene expression and cancer classification (2 papers), Diabetes and associated disorders (2 papers), Single-cell and spatial transcriptomics (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Biological Psychiatry (8 citations), Molecular Biology (187 citations), Biophysics (11 citations), Obstetrics and Gynecology (9 citations) and Immunology (21 citations). Derek Reiman has collaborated with scholars based in United States, Germany and Norway. Frequent co-authors include Yang Dai, Ahmed A. Metwally, Brian T. Layden, Jun Sun, David L. Perkins, Patricia W. Finn, Philip S. Yu, Aly A. Khan, Andrey Kuznetsov and Harinder Singh. Their work appears in journals such as PLoS Computational Biology, Nature Communications, Reproductive Sciences, Cell Host & Microbe and Microbial Genomics.
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.