Yun Kit Yeoh

78 total papers · 8.0k total citations
49 papers, 3.1k citations indexed

About

Yun Kit Yeoh is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Yun Kit Yeoh has authored 49 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Infectious Diseases and 9 papers in Epidemiology. Recurrent topics in Yun Kit Yeoh's work include Gut microbiota and health (24 papers), Clostridium difficile and Clostridium perfringens research (11 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). Yun Kit Yeoh is often cited by papers focused on Gut microbiota and health (24 papers), Clostridium difficile and Clostridium perfringens research (11 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). Yun Kit Yeoh collaborates with scholars based in Hong Kong, China and Australia. Yun Kit Yeoh's co-authors include Francis K.L. Chan, Siew C. Ng, Paul K.S. Chan, Philip Hugenholtz, Chanyarat Paungfoo‐Lonhienne, Qin Liu, Fen Zhang, Susanne Schmidt, Mark A. Ragan and Tao Zuo and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Yun Kit Yeoh

49 papers receiving 3.0k citations

Hit Papers

Depicting SARS-CoV-2 faec... 2020 2026 2022 2024 2020 2022 2023 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
Yun Kit Yeoh 1.5k 940 647 418 373 49 3.1k
Anna Heintz‐Buschart 2.4k 1.5× 405 0.4× 660 1.0× 654 1.6× 260 0.7× 76 4.3k
Chun Wie Chong 955 0.6× 197 0.2× 202 0.3× 414 1.0× 277 0.7× 106 2.4k
Patrick H. Degnan 2.3k 1.5× 702 0.7× 694 1.1× 503 1.2× 43 0.1× 45 5.3k
James T. Morton 2.1k 1.4× 359 0.4× 116 0.2× 351 0.8× 346 0.9× 37 3.1k
Gail Ackermann 2.8k 1.8× 549 0.6× 668 1.0× 1.0k 2.5× 40 0.1× 45 5.5k
Kaisa Koskinen 1.8k 1.1× 256 0.3× 137 0.2× 304 0.7× 590 1.6× 26 3.6k
Lauren J. McIver 2.9k 1.9× 514 0.5× 198 0.3× 441 1.1× 72 0.2× 32 4.1k
Fei Liu 1.5k 1.0× 396 0.4× 279 0.4× 352 0.8× 98 0.3× 146 3.8k
Irah L. King 1.4k 0.9× 601 0.6× 185 0.3× 348 0.8× 36 0.1× 58 5.3k
Markus Egert 1.0k 0.7× 170 0.2× 317 0.5× 457 1.1× 97 0.3× 52 2.3k

Countries citing papers authored by Yun Kit Yeoh

Since Specialization
Citations

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

Fields of papers citing papers by Yun Kit Yeoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun Kit Yeoh. 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 Yun Kit Yeoh. The network helps show where Yun Kit Yeoh may publish in the future.

Co-authorship network of co-authors of Yun Kit Yeoh

This figure shows the co-authorship network connecting the top 25 collaborators of Yun Kit Yeoh. A scholar is included among the top collaborators of Yun Kit Yeoh 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 Yun Kit Yeoh. Yun Kit Yeoh 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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