Mark Reppell

1.5k citations
10 papers · 71 · h-index 6

Impact in

    • Genetic Associations and Epidemiology
    • Inflammatory Bowel Disease
    • Genetic Mapping and Diversity in Plants and Animals
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics

Papers in

    • Inflammatory Bowel Disease 4
    • Genomics and Rare Diseases 1
    • Chronic Lymphocytic Leukemia Research 1
    • Tuberculosis Research and Epidemiology 1

Mark Reppell

10 papers receiving 71 citations

Peers

Mark Reppell
Comparison fields: 5 of 31
  • Genetics 43
  • Immunology 6
  • Molecular Biology 18
  • Computer Graphics and Computer-Aided Design 1
  • Periodontics 1
Replace Zhonghuang Wang with:
Zhonghuang Wang China
Tobias Guennel United States
Jae Joseph Russell B. Rodriguez Philippines
Reeta Metta United States
Carlos Ruiz-Arenas Spain
Xiaoyan Ma China
Behrooz Torabi Moghadam Sweden
Jennifer Asano Canada
Stanislav Rosnev Germany
Marc Rosselló United Kingdom
Mark Reppell relative to Zhonghuang Wang China Zhonghuang Wang's profile →
Citations per field
00.5×
Zhonghuang Wang · 1×
Citations per year

Countries citing papers authored by Mark Reppell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark Reppell Line = papers co-authored together Mark Reppell links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201416
2 201814
3 20149
4 20129
5 20238
6 20248
7 20203
8 20232
9 20141
10 20251

About Mark Reppell

Mark Reppell is a scholar working on Genetics, Infectious Diseases, Molecular Biology, Genetics and Ecology, having authored 10 papers that have together received 71 indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (4 papers), Genomics and Rare Diseases (1 paper), Tuberculosis Research and Epidemiology (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Microbial Community Ecology and Physiology (1 paper), Gut microbiota and health (1 paper), Genomics and Phylogenetic Studies (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Genetics (43 citations), Immunology (6 citations), Molecular Biology (18 citations), Computer Graphics and Computer-Aided Design (1 citation) and Periodontics (1 citation). Mark Reppell has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John Novembre, Sebastian Zöllner, Michael Boehnke, Valerie Pivorunas, Pamela L. St. Jean, Margaret G. Ehm, Daniel Wegmann, Matthew R. Nelson, Matthew Zawistowski and Heath Guay. Their work appears in journals such as Journal of Crohn s and Colitis, Genetics, Bioinformatics, European Journal of Human Genetics and Genome biology.

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.

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