Han‐Jun Jin
Impact in
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- Forensic and Genetic Research
- Genetic diversity and population structure
- Yersinia bacterium, plague, ectoparasites research
- Genetic Associations and Epidemiology
- Race, Genetics, and Society
- Archeology top 10%
- Forensic Anthropology and Bioarchaeology Studies
Papers in
- Genetics 8
- Forensic and Genetic Research 5
- Genetic diversity and population structure 4
- Genetic Associations and Epidemiology 1
- Yersinia bacterium, plague, ectoparasites research 1
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- Glutathione Transferases and Polymorphisms 2
- Molecular Biology Techniques and Applications 2
- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Wook Kim (7 shared papers)Chris Tyler‐Smith (2 shared papers)Daniel G. MacArthur (1 shared paper)Chris Tyler‐Smith (1 shared paper)Bryndís Yngvadóttir (1 shared paper)Kicheol Kim (4 shared papers)Won Bae Kim (2 shared papers)Soon‐Hee Kim (1 shared paper)
- Journals
- PLoS ONE (3 papers)American Journal of Physical Anthropology (1 paper)Legal Medicine (1 paper)Gene (1 paper)Evolutionary Applications (1 paper)
- Partner nations
- South KoreaUnited KingdomItaly
In The Last Decade
Han‐Jun Jin
11 papers receiving 228 citations
Peers
Comparison fields: 5 of 65
- Genetics 158
- Archeology 26
- Clinical Biochemistry 12
- Molecular Biology 108
- Biological Psychiatry 3
Countries citing papers authored by Han‐Jun Jin
This map shows the geographic impact of Han‐Jun Jin'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 Han‐Jun Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han‐Jun Jin more than expected).
Fields of papers citing papers by Han‐Jun Jin
This network shows the impact of papers produced by Han‐Jun Jin. 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 Han‐Jun Jin. The network helps show where Han‐Jun Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Han‐Jun Jin, 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 | 2009 | 60 | |
| 2 | 2009 | 40 | |
| 3 | 2011 | 29 | |
| 4 | 2008 | 28 | |
| 5 | 2007 | 18 | |
| 6 | 2016 | 16 | |
| 7 | 2020 | 14 | |
| 8 | 2015 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2009 | 7 | |
| 11 | 2015 | 4 |
About Han‐Jun Jin
Han‐Jun Jin is a scholar working on Genetics, Molecular Biology, Clinical Psychology, Clinical Biochemistry and Public Health, Environmental and Occupational Health, having authored 11 papers that have together received 235 indexed citations. Recurring topics across this work include Forensic and Genetic Research (5 papers), Genetic diversity and population structure (4 papers), Glutathione Transferases and Polymorphisms (2 papers), Molecular Biology Techniques and Applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Metabolism and Genetic Disorders (1 paper), Genetic Associations and Epidemiology (1 paper) and Yersinia bacterium, plague, ectoparasites research (1 paper). The work is most often cited by research in Genetics (158 citations), Archeology (26 citations), Clinical Biochemistry (12 citations), Molecular Biology (108 citations) and Biological Psychiatry (3 citations). Han‐Jun Jin has collaborated with scholars based in South Korea, United Kingdom and Italy. Frequent co-authors include Wook Kim, Chris Tyler‐Smith, Daniel G. MacArthur, Chris Tyler‐Smith, Bryndís Yngvadóttir, Kicheol Kim, Won Bae Kim, Soon‐Hee Kim, Ho‐Jang Kwon and Sung-Joo Kim. Their work appears in journals such as PLoS ONE, American Journal of Physical Anthropology, Legal Medicine, Gene and Evolutionary Applications.
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.