I-Hung Pan
Impact in
- Archeology top 5%
- Forensic Anthropology and Bioarchaeology Studies
- Genetics top 10%
- Forensic and Genetic Research
- Genetic diversity and population structure
- Yersinia bacterium, plague, ectoparasites research
- Genetic Associations and Epidemiology
Papers in
- Genetics 7
- Forensic and Genetic Research 5
- Virus-based gene therapy research 2
- Genetic diversity and population structure 2
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- Molecular Biology Techniques and Applications 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Satoshi Horai (6 shared papers)Goonnapa Fucharoen (2 shared papers)Yutaka Hattori (1 shared paper)Kenji Hayasaka (1 shared paper)K Omoto (1 shared paper)K. Murayama (1 shared paper)Shinji Harihara (1 shared paper)Atsushi Tajima (2 shared papers)
- Journals
- Anthropological Science (3 papers)Human Genetics (2 papers)Diagnostic Microbiology and Infectious Disease (1 paper)The Journal of Experimental Medicine (1 paper)Cancer Science (1 paper)
- Partner nations
- JapanTaiwanUnited States
In The Last Decade
I-Hung Pan
12 papers receiving 345 citations
Peers
Comparison fields: 5 of 67
- Archeology 89
- Genetics 243
- Geography, Planning and Development 22
- Endocrinology 13
- Molecular Biology 150
Countries citing papers authored by I-Hung Pan
This map shows the geographic impact of I-Hung Pan'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 I-Hung Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I-Hung Pan more than expected).
Fields of papers citing papers by I-Hung Pan
This network shows the impact of papers produced by I-Hung Pan. 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 I-Hung Pan. The network helps show where I-Hung Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside I-Hung Pan, 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 | mtDNA polymorphism in East Asian Populations, with special reference to the peopling of Japan. | 1996 | 211 |
| 2 | 2001 | 57 | |
| 3 | 2003 | 41 | |
| 4 | 1966 | 18 | |
| 5 | 1995 | 9 | |
| 6 | 1985 | 9 | |
| 7 | 1999 | 6 | |
| 8 | 2001 | 4 | |
| 9 | 1986 | 4 | |
| 10 | 1995 | 2 | |
| 11 | Studies on Nucleodepolymerases 1.Occurrence of Ribonuclease and Deoxyribonuclease in Culture Filtrates of Various Bacteria | 1956 | 1 |
| 12 | Rapid detection of V. cholerae by fluorescent antibody technique. | 1965 | 1 |
About I-Hung Pan
I-Hung Pan is a scholar working on Genetics, Molecular Biology, Ecology, Hematology and Infectious Diseases, having authored 12 papers that have together received 363 indexed citations. Recurring topics across this work include Forensic and Genetic Research (5 papers), Blood groups and transfusion (2 papers), Bacteriophages and microbial interactions (2 papers), Virus-based gene therapy research (2 papers), Molecular Biology Techniques and Applications (2 papers), Genetic diversity and population structure (2 papers), Machine Learning in Bioinformatics (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Archeology (89 citations), Genetics (243 citations), Geography, Planning and Development (22 citations), Endocrinology (13 citations) and Molecular Biology (150 citations). I-Hung Pan has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Satoshi Horai, Goonnapa Fucharoen, Yutaka Hattori, Kenji Hayasaka, K Omoto, K. Murayama, Shinji Harihara, Atsushi Tajima, Naruya Saitou and Takafumi Ishida. Their work appears in journals such as Anthropological Science, Human Genetics, Diagnostic Microbiology and Infectious Disease, The Journal of Experimental Medicine and Cancer Science.
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.