Ming Kai Tan

917 citations
133 papers · 653 · h-index 12

Impact in

Papers in

Ming Kai Tan

115 papers receiving 617 citations

Peers

Ming Kai Tan
Comparison fields: 5 of 51
  • Ecology, Evolution, Behavior and Systematics 511
  • Nature and Landscape Conservation 200
  • Developmental Biology 21
  • Genetics 193
  • Paleontology 48
Replace Joris A. M. Bertrand with:
Joris A. M. Bertrand France
Larry R. Noblick United States
Volker S. Schmid Germany
O.St John United Kingdom
Michael Mathieson Australia
Neal Griffith Smith Panama
Timothy M. Reed United States
Juan A. Torres United States
Christopher S. Drummond United States
Philippe Morat France
Ming Kai Tan relative to Joris A. M. Bertrand France Joris A. M. Bertrand's profile →
Citations per field
00.5×4.2×
Joris A. M. Bertrand · 1×
Citations per year

Countries citing papers authored by Ming Kai Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Kai Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Kai Tan. 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 Ming Kai Tan. The network helps show where Ming Kai Tan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199281
2 202128
3 201825
4 201723
5 201719
6 202115
7 201614
8 201812
9 201212
10 201812
11 201612
12 201811
13 201811
14 201810
15 201410
16 20179
17 20169
18 20199
19 20179
20 20139

About Ming Kai Tan

Ming Kai Tan is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Genetics, Plant Science and Paleontology, having authored 133 papers that have together received 653 indexed citations. Recurring topics across this work include Orthoptera Research and Taxonomy (109 papers), Ecology and Vegetation Dynamics Studies (64 papers), Plant and animal studies (36 papers), Plant Parasitism and Resistance (27 papers), Lepidoptera: Biology and Taxonomy (20 papers), Spider Taxonomy and Behavior Studies (20 papers), Scarabaeidae Beetle Taxonomy and Biogeography (15 papers) and Animal Behavior and Reproduction (9 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (511 citations), Nature and Landscape Conservation (200 citations), Developmental Biology (21 citations), Genetics (193 citations) and Paleontology (48 citations). Ming Kai Tan has collaborated with scholars based in Singapore, France and Malaysia. Frequent co-authors include Tony Robillard, Hugh Tiang Wah Tan, Arthur Y. C. Chung, Sigfrid Ingrisch, Sheryl A. Yap, Pak‐Hing Leung, K.F. Mok, Glenn Quek, Chin Chin Lim and K. Y. Sim. Their work appears in journals such as Zootaxa, Journal of Orthoptera Research, Ecological Entomology, Ecology and ZooKeys.

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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