Johnathan Wong

666 citations
18 papers · 318 · h-index 8

Impact in

Papers in

    • Genomics and Phylogenetic Studies 10
    • RNA and protein synthesis mechanisms 3
    • Mitochondrial Function and Pathology 2
    • Machine Learning in Bioinformatics 1
    • Genetic diversity and population structure 1

Johnathan Wong

18 papers receiving 312 citations

Peers

Johnathan Wong
Comparison fields: 5 of 55
  • Ecological Modeling 37
  • Ecology 103
  • Ecology, Evolution, Behavior and Systematics 51
  • Genetics 64
  • Molecular Biology 157
Replace Yoamel Milián‐García with:
Yoamel Milián‐García Canada
Marissa F. Le Lec New Zealand
Stefano Donegà United States
Lyndall Pereira da Conceicoa United Kingdom
Victoria Twort Finland
Tjard Bergmann Germany
Henry L. North United Kingdom
Jennifer Eleanor James United States
Nadolina Brajuka United States
Andrew B. Corbin United States
Johnathan Wong relative to Yoamel Milián‐García Canada Yoamel Milián‐García's profile →
Citations per field
00.5×2×2.6×
Yoamel Milián‐García · 1×
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

18 of 18 papers shown
#Work
1 2021155
2 202138
3 202224
4 201822
5 202319
6 202318
7 202013
8 20228
9 20224
10 20224
11 20224
12 20252
13 20212
14 20221
15 20201
16 20241
17 20241
18 20251

About Johnathan Wong

Johnathan Wong is a scholar working on Molecular Biology, Genetics, Plant Science, Cellular and Molecular Neuroscience and Ecology, having authored 18 papers that have together received 318 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Chromosomal and Genetic Variations (4 papers), RNA and protein synthesis mechanisms (3 papers), Genetic Neurodegenerative Diseases (2 papers), Mitochondrial Function and Pathology (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Genetic diversity and population structure (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Ecological Modeling (37 citations), Ecology (103 citations), Ecology, Evolution, Behavior and Systematics (51 citations), Genetics (64 citations) and Molecular Biology (157 citations). Johnathan Wong has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Sujatha Narayanan Kutty, Leshon Lee, Darren Yeo, Rudolf Meier, Amrita Srivathsan, Kazutaka Katoh, Emily Hartop, Rene Warren, İnanç BİROL and Lauren Coombe. Their work appears in journals such as BMC Bioinformatics, Current Protocols, BMC Biology, Frontiers in Pharmacology and BMC Genomics.

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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