Jer-Ming Chia

4.0k citations
12 papers · 3.3k · 2 hit papers · h-index 10

Impact in

    • Chromosomal and Genetic Variations
    • Plant Molecular Biology Research
  • Physiology top 5%
    • Reproductive biology and impacts on aquatic species

Papers in

Jer-Ming Chia

12 papers receiving 3.2k citations

Jer-Ming Chia's Hit Papers

Maize HapMap2 identifies extant variation from a genome in flux 2012 · 475 citations
4750+8+16Years since publication4008001.2k

Peers

Jer-Ming Chia
Comparison fields: 5 of 77
  • Plant Science 713
  • Physiology 55
  • Genetics 378
  • Infectious Diseases 268
  • Molecular Biology 580
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Citations per field
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Citations per year

Countries citing papers authored by Jer-Ming Chia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jer-Ming Chia Line = papers co-authored together Jer-Ming Chia links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Whole-Genome Shotgun Assembly and Analysis of the Genome of Fugu rubripes
Hit paper breakdown →
20021267
2
Maize HapMap2 identifies extant variation from a genome in flux
Hit paper breakdown →
2012475
3 2004447
4 2003371
5 2009317
6 2014237
7 200475
8 200446
9 201116
10 200415
11 20056
12
Comparative analysis of the testis and ovary transcriptomes in zebrafish by combining experimental and computational tools: Research Articles
20043

About Jer-Ming Chia

Jer-Ming Chia is a scholar working on Physiology, Infectious Diseases, Genetics, 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 (2 papers), Reproductive biology and impacts on aquatic species (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Plant Molecular Biology Research (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Genetic Associations and Epidemiology (1 paper), Chromosomal and Genetic Variations (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Plant Science (713 citations), Physiology (55 citations), Genetics (378 citations), Infectious Diseases (268 citations) and Molecular Biology (580 citations). Jer-Ming Chia has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Alan Gilbert Christoffels, Byrappa Venkatesh, Sydney Brenner, Esther G. L. Koh, Samuel A. J. R. Aparicio, Doreen Ware, Joshua C. Stein, Christopher A. Maher, Michael D. McMullen and Apurva Narechania. 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.

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