Ming Li

223 papers receiving 5.6k citations

Ming Li's Hit Papers

Phylogenomic analyses provide insights into primate evolution 2023 · 104 citations
1040+1+2Years since publication255075100

Peers

Ming Li
Comparison fields: 5 of 179
  • Ecological Modeling 230
  • Social Psychology 1.4k
  • Genetics 1.2k
  • Ecology 759
  • Paleontology 248
Replace Colin Ashley Simpfendorfer with:
Colin Ashley Simpfendorfer Australia
Christian Roos Germany
Martha M. Robbins Germany
Susanne A. Fritz Germany
Kristofer M. Helgen United States
Raman Sukumar India
Michelle RaNae Heupel Australia
Jarrod D. Hadfield United Kingdom
Robert G. Harcourt Australia
Richard Grenyer United Kingdom
Ming Li relative to Colin Ashley Simpfendorfer Australia Colin Ashley Simpfendorfer's profile →
Citations per field
00.5×5×10×13.1×
Colin Ashley Simpfendorfer · 1×
Citations per year

Countries citing papers authored by Ming Li

Since Specialization
Citations

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

Fields of papers citing papers by Ming Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 237 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007229
2 2020208
3 2006176
4 2014148
5 2007132
6 2010114
7 2009113
8 2010112
9 2020108
10
Phylogenomic analyses provide insights into primate evolution
Hit paper breakdown →
2023104
11 2006100
12 201397
13 201989
14 201183
15 200681
16 200980
17 200367
18 200767
19 200866
20 200464

About Ming Li

Ming Li is a scholar working on Social Psychology, Genetics, Ecological Modeling, Ecology and Paleontology, having authored 237 papers that have together received 6k indexed citations. Recurring topics across this work include Primate Behavior and Ecology (68 papers), Genetic diversity and population structure (43 papers), Wildlife Ecology and Conservation (15 papers), Species Distribution and Climate Change (14 papers), Geological and Geochemical Analysis (9 papers), Evolution and Paleontology Studies (8 papers), Genomics and Phylogenetic Studies (6 papers) and Animal Behavior and Reproduction (6 papers). The work is most often cited by research in Ecological Modeling (230 citations), Social Psychology (1.4k citations), Genetics (1.2k citations), Ecology (759 citations) and Paleontology (248 citations). Ming Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fuwen Wei, Cyril C. Grueter, Dayong Li, Zhijin Liu, Paul A. Garber, Zejun Zhang, Zuofu Xiang, Michael W. Bruford, Yongcheng Long and Benoît Goossens. Their work appears in journals such as American Journal of Primatology, International Journal of Primatology, Integrative Zoology, Molecular Biology and Evolution and PLoS ONE.

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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