Jon Davoren
Impact in
- Archeology top 1%
- Forensic Anthropology and Bioarchaeology Studies
- Paleopathology and ancient diseases
- Genetics top 5%
- Forensic and Genetic Research
- Race, Genetics, and Society
Papers in
- Genetics 9
- Forensic and Genetic Research 9
- Race, Genetics, and Society 4
- Genetic Associations and Epidemiology 1
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- Forensic Anthropology and Bioarchaeology Studies 7
- Co-authors
- Amy Z. Mundorff (4 shared papers)Thomas J. Parsons (2 shared papers)Edwin Huffine (3 shared papers)Daniel Vaněk (2 shared papers)David M. L. Cooper (1 shared paper)Isaac Pratt (1 shared paper)Lejla Smajlović-Skenderagić (2 shared papers)René Huel (1 shared paper)
- Journals
- Forensic Science International Genetics (3 papers)Journal of Experimental Botany (1 paper)Journal of Forensic Sciences (1 paper)BioTechniques (1 paper)Mammalian Genome (1 paper)
- Partner nations
- United StatesBosnia and HerzegovinaCanada
In The Last Decade
Jon Davoren
15 papers receiving 435 citations
Peers
Comparison fields: 5 of 64
- Archeology 291
- Genetics 357
- Space and Planetary Science 10
- Paleontology 40
- Molecular Biology 234
Countries citing papers authored by Jon Davoren
This map shows the geographic impact of Jon Davoren'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 Jon Davoren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Davoren more than expected).
Fields of papers citing papers by Jon Davoren
This network shows the impact of papers produced by Jon Davoren. 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 Jon Davoren. The network helps show where Jon Davoren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Davoren, 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 | Highly effective DNA extraction method for nuclear short tandem repeat testing of skeletal remains from mass graves. | 2007 | 106 |
| 2 | 2013 | 98 | |
| 3 | 2007 | 66 | |
| 4 | 2017 | 44 | |
| 5 | DNA identification of skeletal remains from the World War II mass graves uncovered in Slovenia. | 2007 | 44 |
| 6 | 2009 | 27 | |
| 7 | 2018 | 25 | |
| 8 | 1998 | 22 | |
| 9 | 2006 | 7 | |
| 10 | 2005 | 5 | |
| 11 | 2015 | 5 | |
| 12 | 2009 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2012 | 1 | |
| 15 | Use of the Y-chromosome STR markers in the mass identification effort in former Yugoslavia | 2003 | 1 |
About Jon Davoren
Jon Davoren is a scholar working on Genetics, Archeology, Molecular Biology, Surgery and Infectious Diseases, having authored 15 papers that have together received 458 indexed citations. Recurring topics across this work include Forensic and Genetic Research (9 papers), Forensic Anthropology and Bioarchaeology Studies (7 papers), Molecular Biology Techniques and Applications (5 papers), Race, Genetics, and Society (4 papers), Pancreatic function and diabetes (2 papers), Metabolism, Diabetes, and Cancer (1 paper), Genetic Associations and Epidemiology (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Archeology (291 citations), Genetics (357 citations), Space and Planetary Science (10 citations), Paleontology (40 citations) and Molecular Biology (234 citations). Jon Davoren has collaborated with scholars based in United States, Bosnia and Herzegovina and Canada. Frequent co-authors include Amy Z. Mundorff, Thomas J. Parsons, Edwin Huffine, Daniel Vaněk, David M. L. Cooper, Isaac Pratt, Lejla Smajlović-Skenderagić, René Huel, Michael D. Coble and Lejla Kovačević. Their work appears in journals such as Forensic Science International Genetics, Journal of Experimental Botany, Journal of Forensic Sciences, BioTechniques and Mammalian Genome.
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.