David Higgins
Impact in
- Health Informatics top 5%
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
Papers in
- Genetics 6
- Genetic Mapping and Diversity in Plants and Animals 6
- Genetic and phenotypic traits in livestock 4
- Co-authors
- Beverly Paigen (7 shared papers)Vince I. Madai (1 shared paper)Xiao‐Song Wang (2 shared papers)Haralambos Gavras (1 shared paper)Fumihiro Sugiyama (1 shared paper)Conrado Johns (1 shared paper)Gary A. Churchill (1 shared paper)Ron Korstanje (1 shared paper)
- Journals
- Mammalian Genome (4 papers)Nature Genetics (1 paper)Cell Reports (1 paper)Therapeutic Innovation & Regulatory Science (1 paper)American Journal of Obstetrics and Gynecology (1 paper)
- Partner nations
- United StatesGermanyIreland
In The Last Decade
David Higgins
19 papers receiving 929 citations
Peers
Comparison fields: 5 of 111
- Health Informatics 48
- Genetics 306
- Complementary and alternative medicine 89
- Orthopedics and Sports Medicine 85
- Immunology 176
Countries citing papers authored by David Higgins
This map shows the geographic impact of David Higgins'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 David Higgins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Higgins more than expected).
Fields of papers citing papers by David Higgins
This network shows the impact of papers produced by David Higgins. 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 David Higgins. The network helps show where David Higgins may publish in the future.
Co-authors
The 25 scholars most cited alongside David Higgins, 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 | 2005 | 224 | |
| 2 | 2001 | 176 | |
| 3 | 2007 | 120 | |
| 4 | 2004 | 87 | |
| 5 | 2020 | 64 | |
| 6 | 2016 | 41 | |
| 7 | 2022 | 39 | |
| 8 | 2002 | 34 | |
| 9 | 2004 | 31 | |
| 10 | 1998 | 27 | |
| 11 | 2001 | 23 | |
| 12 | 2014 | 22 | |
| 13 | 2014 | 19 | |
| 14 | 2015 | 15 | |
| 15 | 2023 | 11 | |
| 16 | 1997 | 6 | |
| 17 | 2009 | 5 | |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 0 |
About David Higgins
David Higgins is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Immunology and Health Information Management, having authored 20 papers that have together received 946 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Pregnancy and preeclampsia studies (2 papers), Adipose Tissue and Metabolism (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Health Informatics (48 citations), Genetics (306 citations), Complementary and alternative medicine (89 citations), Orthopedics and Sports Medicine (85 citations) and Immunology (176 citations). David Higgins has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include Beverly Paigen, Vince I. Madai, Xiao‐Song Wang, Haralambos Gavras, Fumihiro Sugiyama, Conrado Johns, Gary A. Churchill, Ron Korstanje, Jochen Einbeck and Peter M. Kelmenson. Their work appears in journals such as Mammalian Genome, Nature Genetics, Cell Reports, Therapeutic Innovation & Regulatory Science and American Journal of Obstetrics and Gynecology.
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.