Chris German
Impact in
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- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
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- Traffic and Road Safety
Papers in
- Genetics 6
- Genetic Associations and Epidemiology 4
- Genetic Mapping and Diversity in Plants and Animals 2
- Genetic and phenotypic traits in livestock 2
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- Bioinformatics and Genomic Networks 2
- Co-authors
- Hua Zhou (7 shared papers)Janet S. Sinsheimer (7 shared papers)Jin Zhou (6 shared papers)Yann C. Klimentidis (1 shared paper)Eric M. Sobel (3 shared papers)Kenneth Lange (3 shared papers)A. E. Jensen (1 shared paper)Hiroshi Tamura (1 shared paper)
- Journals
- The American Journal of Human Genetics (1 paper)Molecular Ecology (1 paper)BMC Bioinformatics (1 paper)Human Genetics (1 paper)GigaScience (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Chris German
11 papers receiving 114 citations
Peers
Comparison fields: 5 of 69
- Genetics 71
- Safety, Risk, Reliability and Quality 11
- Transportation 5
- Statistics and Probability 6
- Equine 1
Countries citing papers authored by Chris German
This map shows the geographic impact of Chris German'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 Chris German with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris German more than expected).
Fields of papers citing papers by Chris German
This network shows the impact of papers produced by Chris German. 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 Chris German. The network helps show where Chris German may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris German, 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 | 2019 | 32 | |
| 2 | 2022 | 18 | |
| 3 | 2019 | 16 | |
| 4 | 2019 | 14 | |
| 5 | 2020 | 14 | |
| 6 | 2020 | 10 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 2 | |
| 9 | 2023 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2018 | 1 |
About Chris German
Chris German is a scholar working on Genetics, Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health and Transportation, having authored 11 papers that have together received 115 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic and phenotypic traits in livestock (2 papers), Bioinformatics and Genomic Networks (2 papers), Advanced Causal Inference Techniques (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Ocular Surface and Contact Lens (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Genetics (71 citations), Safety, Risk, Reliability and Quality (11 citations), Transportation (5 citations), Statistics and Probability (6 citations) and Equine (1 citation). Chris German has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Hua Zhou, Janet S. Sinsheimer, Jin Zhou, Yann C. Klimentidis, Eric M. Sobel, Kenneth Lange, A. E. Jensen, Hiroshi Tamura, Akihiro Nishi and Yan V. Sun. Their work appears in journals such as The American Journal of Human Genetics, Molecular Ecology, BMC Bioinformatics, Human Genetics and GigaScience.
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.