Jun-Hun Loo

1.7k citations
13 papers · 730 · h-index 10

Impact in

Papers in

    • Forensic and Genetic Research 7
    • Genetic diversity and population structure 3
    • Race, Genetics, and Society 2
    • Identification and Quantification in Food 3

Jun-Hun Loo

13 papers receiving 704 citations

Peers

Jun-Hun Loo
Comparison fields: 5 of 105
  • Geography, Planning and Development 117
  • Infectious Diseases 203
  • Genetics 279
  • Paleontology 49
  • Developmental Biology 13
Replace J. Tréjaut with:
J. Tréjaut Taiwan
Paul Verdu France
Fiona Gratrix United Kingdom
Jiayou Chu China
D. K. Bowden Australia
Wannapa Settheetham‐Ishida Thailand
Verónica Fernandes Portugal
K. Bhatia Papua New Guinea
Cengiz Cinnioğlu United States
Christine Harmant France
Jun-Hun Loo relative to J. Tréjaut Taiwan J. Tréjaut's profile →
Citations per field
00.5×1.5×
J. Tréjaut · 1×
Citations per year

Countries citing papers authored by Jun-Hun Loo

Since Specialization
Citations

This map shows the geographic impact of Jun-Hun Loo'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 Jun-Hun Loo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Hun Loo more than expected).

Fields of papers citing papers by Jun-Hun Loo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Hun Loo. 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 Jun-Hun Loo. The network helps show where Jun-Hun Loo may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun-Hun Loo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun-Hun Loo Line = papers co-authored together Jun-Hun Loo links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2003243
2 2008208
3 2011107
4 201349
5 201442
6 201133
7 200912
8 200510
9 20149
10 20119
11 20194
12 20193
13 20211

About Jun-Hun Loo

Jun-Hun Loo is a scholar working on Genetics, Molecular Biology, Geography, Planning and Development, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 13 papers that have together received 730 indexed citations. Recurring topics across this work include Forensic and Genetic Research (7 papers), Pacific and Southeast Asian Studies (3 papers), Identification and Quantification in Food (3 papers), Genetic diversity and population structure (3 papers), Race, Genetics, and Society (2 papers), Metabolism and Genetic Disorders (1 paper), Neonatal Respiratory Health Research (1 paper) and Forensic Anthropology and Bioarchaeology Studies (1 paper). The work is most often cited by research in Geography, Planning and Development (117 citations), Infectious Diseases (203 citations), Genetics (279 citations), Paleontology (49 citations) and Developmental Biology (13 citations). Jun-Hun Loo has collaborated with scholars based in Taiwan, Australia and United Kingdom. Frequent co-authors include J. Tréjaut, Marie Lin, Chun‐Hsiung Huang, C.C. Chu, Ruey‐Shiung Lin, D. Andrew Merriwether, Jonathan S. Friedlaender, Jason A. Hodgson, George Koki and Rod A. Lea. Their work appears in journals such as BMC Genetics, Chinese Journal of Cancer, The American Journal of Human Genetics, Proceedings of the Royal Society B Biological Sciences and PLoS Genetics.

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.

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