Mark Reppell
Impact in
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- Genetic Associations and Epidemiology
- Inflammatory Bowel Disease
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
Papers in
- Genetics 7
- Inflammatory Bowel Disease 4
- Genomics and Rare Diseases 2
- Genetic Associations and Epidemiology 1
- Genetic Mapping and Diversity in Plants and Animals 1
- Genetic and phenotypic traits in livestock 1
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- Immunodeficiency and Autoimmune Disorders 2
- Co-authors
- John Novembre (3 shared papers)Sebastian Zöllner (3 shared papers)Michael Boehnke (2 shared papers)Matthew Zawistowski (1 shared paper)Heath Guay (5 shared papers)Pamela L. St. Jean (1 shared paper)Nizar Smaoui (3 shared papers)Matthew R. Nelson (1 shared paper)
- Journals
- Journal of Crohn s and Colitis (4 papers)Genome biology (1 paper)PLoS Computational Biology (1 paper)European Journal of Human Genetics (1 paper)Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Mark Reppell
9 papers receiving 67 citations
Peers
Comparison fields: 5 of 33
- Genetics 44
- Immunology 8
- Ecology 7
- Cancer Research 4
- Molecular Biology 18
Countries citing papers authored by Mark Reppell
This map shows the geographic impact of Mark Reppell'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 Mark Reppell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Reppell more than expected).
Fields of papers citing papers by Mark Reppell
This network shows the impact of papers produced by Mark Reppell. 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 Mark Reppell. The network helps show where Mark Reppell may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Reppell, 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 | 16 | |
| 2 | 2018 | 13 | |
| 3 | 2014 | 9 | |
| 4 | 2012 | 8 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 7 | |
| 7 | 2020 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2014 | 1 | |
| 10 | 2025 | 0 |
About Mark Reppell
Mark Reppell is a scholar working on Genetics, Immunology, Molecular Biology, Infectious Diseases and Computer Networks and Communications, having authored 10 papers that have together received 67 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Genomics and Rare Diseases (2 papers), Genetic Associations and Epidemiology (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic and phenotypic traits in livestock (1 paper), Genomics and Phylogenetic Studies (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Genetics (44 citations), Immunology (8 citations), Ecology (7 citations), Cancer Research (4 citations) and Molecular Biology (18 citations). Mark Reppell has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include John Novembre, Sebastian Zöllner, Michael Boehnke, Matthew Zawistowski, Heath Guay, Pamela L. St. Jean, Nizar Smaoui, Matthew R. Nelson, Margaret G. Ehm and Valerie Pivorunas. Their work appears in journals such as Journal of Crohn s and Colitis, Genome biology, PLoS Computational Biology, European Journal of Human Genetics and Genetics.
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.