Daniel Harris
Impact in
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- Genomic variations and chromosomal abnormalities
- Forensic and Genetic Research
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
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- Chromosomal and Genetic Variations
Papers in
- Genetics 5
- Forensic and Genetic Research 5
- Genetic diversity and population structure 2
- Race, Genetics, and Society 1
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- Genomics and Phylogenetic Studies 2
- Metabolomics and Mass Spectrometry Studies 1
- Co-authors
- Vincent Kwok Lim Lam (1 shared paper)W. Stephen Pittard (1 shared paper)Scott E. Devine (1 shared paper)Eugene J. Gardner (1 shared paper)Ryan E. Mills (1 shared paper)Emma Scott (1 shared paper)Nelson T. Chuang (1 shared paper)Timothy D. O’Connor (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Genome Research (1 paper)Current Biology (1 paper)Genome Biology and Evolution (1 paper)
- Partner nations
- United StatesPeruSamoa
In The Last Decade
Daniel Harris
5 papers receiving 342 citations
Peers
Comparison fields: 5 of 69
- Genetics 177
- Plant Science 127
- Molecular Biology 197
- Paleontology 16
- Geography, Planning and Development 9
Countries citing papers authored by Daniel Harris
This map shows the geographic impact of Daniel Harris'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 Daniel Harris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Harris more than expected).
Fields of papers citing papers by Daniel Harris
This network shows the impact of papers produced by Daniel Harris. 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 Daniel Harris. The network helps show where Daniel Harris may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Harris, 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 | 2017 | 205 | |
| 2 | 2018 | 85 | |
| 3 | 2019 | 30 | |
| 4 | 2020 | 14 | |
| 5 | 2023 | 12 |
About Daniel Harris
Daniel Harris is a scholar working on Genetics, Molecular Biology, Anthropology, Plant Science and Geography, Planning and Development, having authored 5 papers that have together received 346 indexed citations. Recurring topics across this work include Forensic and Genetic Research (5 papers), Pleistocene-Era Hominins and Archaeology (2 papers), Genomics and Phylogenetic Studies (2 papers), Genetic diversity and population structure (2 papers), Pacific and Southeast Asian Studies (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Chromosomal and Genetic Variations (1 paper) and Race, Genetics, and Society (1 paper). The work is most often cited by research in Genetics (177 citations), Plant Science (127 citations), Molecular Biology (197 citations), Paleontology (16 citations) and Geography, Planning and Development (9 citations). Daniel Harris has collaborated with scholars based in United States, Peru and Samoa. Frequent co-authors include Vincent Kwok Lim Lam, W. Stephen Pittard, Scott E. Devine, Eugene J. Gardner, Ryan E. Mills, Emma Scott, Nelson T. Chuang, Timothy D. O’Connor, Heinner Guio and Amol C. Shetty. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genome Research, Current Biology and Genome Biology and Evolution.
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.