Jun Jie Wong

18 total papers · 660 total citations
9 papers, 439 citations indexed

About

Jun Jie Wong is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Jun Jie Wong has authored 9 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Infectious Diseases and 2 papers in Epidemiology. Recurrent topics in Jun Jie Wong's work include Bacterial biofilms and quorum sensing (6 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Vibrio bacteria research studies (2 papers). Jun Jie Wong is often cited by papers focused on Bacterial biofilms and quorum sensing (6 papers), Antimicrobial Resistance in Staphylococcus (3 papers) and Vibrio bacteria research studies (2 papers). Jun Jie Wong collaborates with scholars based in Singapore, Switzerland and United States. Jun Jie Wong's co-authors include Kimberly A. Kline, Kelvin Kian Long Chong, Jun-Hong Ch’ng, Ling Ning Lam, Timothy Barkham, Sarah J. Coulthurst, Francesca Romana Cianfanelli, Artur Matysik, Jason R. Swedlow and Giuseppina Mariano and has published in prestigious journals such as Nature Reviews Microbiology, Science Advances and Infection and Immunity.

In The Last Decade

Jun Jie Wong

8 papers receiving 434 citations

Hit Papers

Biofilm-associated infect... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun Jie Wong 198 132 63 58 58 9 439
Chythanya Rajanna 218 1.1× 103 0.8× 87 1.4× 31 0.5× 60 1.0× 9 450
Prerna Gopal 177 0.9× 130 1.0× 63 1.0× 53 0.9× 64 1.1× 7 397
Akio Chiba 254 1.3× 101 0.8× 52 0.8× 19 0.3× 72 1.2× 8 369
Mareike Klinger-Strobel 242 1.2× 74 0.6× 36 0.6× 48 0.8× 64 1.1× 12 467
Yefei Zhu 351 1.8× 248 1.9× 43 0.7× 34 0.6× 48 0.8× 11 479
WENDY O. HUFNAGLE 257 1.3× 203 1.5× 22 0.3× 44 0.8× 48 0.8× 9 487
Mohini Bhattacharya 264 1.3× 164 1.2× 39 0.6× 39 0.7× 88 1.5× 6 428
Damien Keogh 213 1.1× 69 0.5× 24 0.4× 53 0.9× 76 1.3× 9 466
Ken-ichi Okuda 214 1.1× 110 0.8× 62 1.0× 39 0.7× 70 1.2× 16 412
A. Villedieu 164 0.8× 76 0.6× 93 1.5× 57 1.0× 33 0.6× 8 429

Countries citing papers authored by Jun Jie Wong

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jie Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Jie Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Jie Wong. A scholar is included among the top collaborators of Jun Jie Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Jie Wong. Jun Jie Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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