Johnathan Wong

580 citations
15 papers · 248 · h-index 7

Impact in

Papers in

    • Genomics and Phylogenetic Studies 10
    • RNA and protein synthesis mechanisms 5
    • RNA modifications and cancer 2
    • Mitochondrial Function and Pathology 2
    • Identification and Quantification in Food 2
    • Chromosomal and Genetic Variations 5

Johnathan Wong

14 papers receiving 242 citations

Peers

Johnathan Wong
Comparison fields: 5 of 48
  • Ecological Modeling 35
  • Ecology 95
  • Ecology, Evolution, Behavior and Systematics 45
  • Insect Science 28
  • Molecular Biology 146
Replace Lei Shan with:
Lei Shan China
Fernando Seixas United States
Shengkai Pan China
Bilgenur Baloğlu Singapore
Francisco Câmara Ferreira Spain
Chiara Bortoluzzi Netherlands
Jinjun Cao China
Alexander Mackintosh United Kingdom
John S. Sproul United States
Irene Novo Spain
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Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Johnathan Wong

Since Specialization
Citations

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

Fields of papers citing papers by Johnathan Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johnathan Wong. 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 Johnathan Wong. The network helps show where Johnathan Wong may publish in the future.

Co-authors

The 25 scholars most cited alongside Johnathan Wong, 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 Johnathan Wong Line = papers co-authored together Johnathan Wong links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2021128
2 202132
3 201822
4 202316
5 202314
6 202012
7 20227
8 20224
9 20224
10 20224
11 20212
12 20241
13 20241
14 20221
15 20250

About Johnathan Wong

Johnathan Wong is a scholar working on Molecular Biology, Plant Science, Cellular and Molecular Neuroscience, Ecology and Genetics, having authored 15 papers that have together received 248 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), RNA and protein synthesis mechanisms (5 papers), Chromosomal and Genetic Variations (5 papers), RNA modifications and cancer (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Genetic Neurodegenerative Diseases (2 papers), Mitochondrial Function and Pathology (2 papers) and Identification and Quantification in Food (2 papers). The work is most often cited by research in Ecological Modeling (35 citations), Ecology (95 citations), Ecology, Evolution, Behavior and Systematics (45 citations), Insect Science (28 citations) and Molecular Biology (146 citations). Johnathan Wong has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Amrita Srivathsan, Emily Hartop, Darren Yeo, Sujatha Narayanan Kutty, Kazutaka Katoh, Rudolf Meier, İnanç Birol, René L. Warren, Lauren Coombe and Ka Ming Nip. Their work appears in journals such as BMC Bioinformatics, Current Protocols, BMC Biology, BMC Genomics and Bioorganic & Medicinal Chemistry.

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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