Jer-Ming Chia
Impact in
- Plant Science top 2%
- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
- Physiology top 2%
- Reproductive biology and impacts on aquatic species
Papers in
-
- Reproductive biology and impacts on aquatic species 2
- Genetics 4
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic and phenotypic traits in livestock 1
- Genetic Associations and Epidemiology 1
- Co-authors
- Alan Gilbert Christoffels (3 shared papers)Esther G. L. Koh (1 shared paper)Byrappa Venkatesh (1 shared paper)Sydney Brenner (1 shared paper)Samuel A. J. R. Aparicio (1 shared paper)Doreen Ware (3 shared papers)Joshua C. Stein (2 shared papers)Katherine E. Guill (1 shared paper)
- Journals
- Comparative and Functional Genomics (2 papers)The Lancet (1 paper)Molecular Biology and Evolution (1 paper)BMC Bioinformatics (1 paper)Immunogenetics (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Jer-Ming Chia
12 papers receiving 3.2k citations
Jer-Ming Chia's Hit Papers
Peers
Comparison fields: 5 of 104
- Plant Science 1.2k
- Physiology 114
- Genetics 705
- Infectious Diseases 355
- Molecular Biology 1.1k
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 | Whole-Genome Shotgun Assembly and Analysis of the Genome of Fugu rubripes Hit paper breakdown → | 2002 | 1267 |
| 2 | Maize HapMap2 identifies extant variation from a genome in flux Hit paper breakdown → | 2012 | 475 |
| 3 | 2004 | 447 | |
| 4 | 2003 | 371 | |
| 5 | 2009 | 317 | |
| 6 | 2014 | 237 | |
| 7 | 2004 | 75 | |
| 8 | 2004 | 46 | |
| 9 | 2011 | 16 | |
| 10 | 2004 | 15 | |
| 11 | 2005 | 6 | |
| 12 | Comparative analysis of the testis and ovary transcriptomes in zebrafish by combining experimental and computational tools: Research Articles | 2004 | 3 |
About Jer-Ming Chia
Jer-Ming Chia is a scholar working on Physiology, Genetics, Infectious Diseases, Molecular Biology and Plant Science, having authored 12 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Reproductive biology and impacts on aquatic species (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Genetic and phenotypic traits in livestock (1 paper), Plant Molecular Biology Research (1 paper), Genetic Associations and Epidemiology (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Plant Science (1.2k citations), Physiology (114 citations), Genetics (705 citations), Infectious Diseases (355 citations) and Molecular Biology (1.1k citations). Jer-Ming Chia has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Alan Gilbert Christoffels, Esther G. L. Koh, Byrappa Venkatesh, Sydney Brenner, Samuel A. J. R. Aparicio, Doreen Ware, Joshua C. Stein, Katherine E. Guill, Michael D. McMullen and Zhijie Liu. Their work appears in journals such as Comparative and Functional Genomics, The Lancet, Molecular Biology and Evolution, BMC Bioinformatics and Immunogenetics.
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.