Jer-Ming Chia
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Plant Science top 5%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
Papers in
- Genetics 5
- Genetic Mapping and Diversity in Plants and Animals 2
- Genomics and Rare Diseases 1
-
- Chromosomal and Genetic Variations 3
- Plant Molecular Biology Research 1
- Genetic and Environmental Crop Studies 1
- Co-authors
- Byrappa Venkatesh (1 shared paper)Samuel Aparício (1 shared paper)Alan Christoffels (1 shared paper)Esther G. L. Koh (1 shared paper)Sydney Brenner (1 shared paper)Doreen Ware (4 shared papers)Joshua C. Stein (3 shared papers)Zhijie Liu (1 shared paper)
- Journals
- Nature Biotechnology (1 paper)The Lancet (1 paper)Immunogenetics (1 paper)BMC Infectious Diseases (1 paper)Journal of the Neurological Sciences (1 paper)
- Partner nations
- SingaporeUnited StatesMexico
In The Last Decade
Jer-Ming Chia
12 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 103
- Infectious Diseases 368
- Plant Science 698
- Genetics 355
- Animal Science and Zoology 119
- Molecular Biology 657
Countries citing papers authored by Jer-Ming Chia
This map shows the geographic impact of Jer-Ming Chia'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 Jer-Ming Chia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jer-Ming Chia more than expected).
Fields of papers citing papers by Jer-Ming Chia
This network shows the impact of papers produced by Jer-Ming Chia. 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 Jer-Ming Chia. The network helps show where Jer-Ming Chia may publish in the future.
Co-authors
The 25 scholars most cited alongside Jer-Ming Chia, 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 | 2004 | 444 | |
| 2 | 2003 | 355 | |
| 3 | 2009 | 314 | |
| 4 | 2014 | 209 | |
| 5 | 2014 | 165 | |
| 6 | 2004 | 71 | |
| 7 | 1994 | 54 | |
| 8 | 1994 | 29 | |
| 9 | 2011 | 16 | |
| 10 | 2004 | 15 | |
| 11 | 2005 | 6 | |
| 12 | The diagnosis of tuberculous meningitis using the polymerase chain reaction. | 1994 | 6 |
About Jer-Ming Chia
Jer-Ming Chia is a scholar working on Genetics, Plant Science, Molecular Biology, Infectious Diseases and Surgery, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (3 papers), Infectious Diseases and Tuberculosis (2 papers), Genomics and Phylogenetic Studies (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Plant Molecular Biology Research (1 paper), Genomics and Rare Diseases (1 paper), Genetic and Environmental Crop Studies (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (368 citations), Plant Science (698 citations), Genetics (355 citations), Animal Science and Zoology (119 citations) and Molecular Biology (657 citations). Jer-Ming Chia has collaborated with scholars based in Singapore, United States and Mexico. Frequent co-authors include Byrappa Venkatesh, Samuel Aparício, Alan Christoffels, Esther G. L. Koh, Sydney Brenner, Doreen Ware, Joshua C. Stein, Zhijie Liu, Lifang Zhang and Sunita Kumari. Their work appears in journals such as Nature Biotechnology, The Lancet, Immunogenetics, BMC Infectious Diseases and Journal of the Neurological Sciences.
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.