Kangshan Mao

3.6k total citations
79 papers, 2.4k citations indexed

About

Kangshan Mao is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Kangshan Mao has authored 79 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Genetics, 30 papers in Ecology, Evolution, Behavior and Systematics and 29 papers in Molecular Biology. Recurrent topics in Kangshan Mao's work include Genetic diversity and population structure (43 papers), Ecology and Vegetation Dynamics Studies (20 papers) and Plant and Fungal Species Descriptions (16 papers). Kangshan Mao is often cited by papers focused on Genetic diversity and population structure (43 papers), Ecology and Vegetation Dynamics Studies (20 papers) and Plant and Fungal Species Descriptions (16 papers). Kangshan Mao collaborates with scholars based in China, United Kingdom and United States. Kangshan Mao's co-authors include Jianquan Liu, Richard I. Milne, Georg Miehe, Richard J. Abbott, Robert P. Adams, Lei Zhang, Gang Hao, Jialiang Li, Yi Wang and Fang Du and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kangshan Mao

70 papers receiving 2.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kangshan Mao China 26 1.1k 1.1k 1.1k 732 489 79 2.4k
Richard I. Milne United Kingdom 31 1.9k 1.7× 1.7k 1.5× 1.4k 1.3× 1.3k 1.8× 619 1.3× 104 3.7k
Myriam Gaudeul France 27 1.4k 1.3× 863 0.8× 1.1k 1.0× 1.2k 1.6× 477 1.0× 58 2.8k
Zhenxiang Xi China 32 1.6k 1.4× 2.1k 1.8× 985 0.9× 1.2k 1.6× 306 0.6× 54 3.5k
Anna Palmé Sweden 19 981 0.9× 779 0.7× 1.9k 1.7× 923 1.3× 686 1.4× 44 3.0k
Juli Caujapé‐Castells Spain 30 1.2k 1.1× 614 0.5× 954 0.9× 1.1k 1.5× 429 0.9× 109 2.4k
Peter B. Heenan New Zealand 23 1.3k 1.1× 720 0.6× 414 0.4× 1.1k 1.5× 502 1.0× 160 2.2k
Birgit Ziegenhagen Germany 29 752 0.7× 637 0.6× 1.2k 1.1× 997 1.4× 684 1.4× 71 2.5k
Ovidiu Paun Austria 32 1.8k 1.6× 1.2k 1.0× 989 0.9× 1.6k 2.2× 470 1.0× 75 3.1k
Sarah Litman Rendell United Kingdom 7 645 0.6× 447 0.4× 1.1k 1.0× 740 1.0× 311 0.6× 10 1.9k
Mark A. Carine United Kingdom 28 1.8k 1.6× 1.1k 1.0× 677 0.6× 1.3k 1.8× 358 0.7× 88 2.9k

Countries citing papers authored by Kangshan Mao

Since Specialization
Citations

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

Fields of papers citing papers by Kangshan Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangshan Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Kangshan Mao. A scholar is included among the top collaborators of Kangshan Mao 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 Kangshan Mao. Kangshan Mao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ruhsam, Markus, Richard I. Milne, Heng Yang, et al.. (2025). Genomic vulnerability and local adaptation of an arid tolerant tree species on the Qinghai–Tibet Plateau. Journal of Systematics and Evolution. 63(4). 922–938. 1 indexed citations
2.
3.
Nieves‐Aldrey, J. L., Ying Zhu, György Csóka, et al.. (2025). A new species of gall wasp Diastrophus Hartig, 1840 (Hymenoptera: Cynipidae) from Sichuan, China. Zootaxa. 5693(4). 524–536.
4.
Yang, Heng, Jialiang Li, Mi Yoon Chung, et al.. (2025). High genetic load and recent anthropogenic bottleneck in the endangered Cupressus austrotibetica (Cupressaceae), Asia's tallest tree. Journal of Systematics and Evolution. 64(1). 125–137.
5.
Wu, Da-Yu, Richard I. Milne, Heng Yang, et al.. (2025). Phylogenomics shed light on the complex evolutionary history of a gymnosperm genus showing East Asian–Tethyan disjunction. Journal of Systematics and Evolution. 63(4). 817–834. 5 indexed citations
6.
7.
Chung, Mi Yoon, Mi Yoon Chung, Juha Merilä, et al.. (2023). A review on QST–FST comparisons of seed plants: Insights for conservation. Ecology and Evolution. 13(3). e9926–e9926. 3 indexed citations
8.
9.
Yang, Senlin, Kangshan Mao, Hao Yang, et al.. (2023). Stand characteristics and ecological benefits of Chinese Fir, Chinese Cedar, and mixed plantations in the mountainous areas of the Sichuan Basin. Forest Ecology and Management. 544. 121168–121168. 10 indexed citations
10.
Miehe, Georg, Kangshan Mao, Shabeh ul Hasson, Jürgen Böhner, & Udo Schickhoff. (2023). What do we know about treelines of the Anthropocene in High Asia?. Plant Diversity. 47(6). 866–875.
11.
Liu, Shuyu, Lei Zhang, Qiang Lai, et al.. (2022). Demographic History and Natural Selection Shape Patterns of Deleterious Mutation Load and Barriers to Introgression across Populus Genome. Molecular Biology and Evolution. 39(2). 34 indexed citations
12.
Ruhsam, Markus, Yi Wang, Hongying Zhang, et al.. (2022). Wind-dispersed seeds blur phylogeographic breaks: The complex evolutionary history of Populus lasiocarpa around the Sichuan Basin. Plant Diversity. 45(2). 156–168. 11 indexed citations
13.
Shi, Tingting, Qiang Lai, Xiaoting Xu, et al.. (2022). Genomic insights into local adaptation and future climate-induced vulnerability of a keystone forest tree in East Asia. Nature Communications. 13(1). 6541–6541. 73 indexed citations
14.
Mao, Kangshan, Nicholas G. Smith, Jing Guo, et al.. (2022). Daytime warming triggers tree growth decline in the Northern Hemisphere. Global Change Biology. 28(16). 4832–4844. 23 indexed citations
15.
Chung, Mi Yoon, Mi Yoon Chung, Jordi López‐Pujol, et al.. (2021). Plant Conservation Practitioners Can Benefit from Neutral Genetic Diversity. Diversity. 13(11). 552–552. 3 indexed citations
16.
Li, Jialiang, Yujiao Zhang, Markus Ruhsam, et al.. (2021). Seeing through the hedge: Phylogenomics of Thuja (Cupressaceae) reveals prominent incomplete lineage sorting and ancient introgression for Tertiary relict flora. Cladistics. 38(2). 187–203. 24 indexed citations
17.
Farhat, Perla, Wentao Wang, Markus Ruhsam, et al.. (2021). Evolutionary history of two rare endemic conifer species from the eastern Qinghai–Tibet Plateau. Annals of Botany. 128(7). 903–918. 10 indexed citations
18.
Ruhsam, Markus, et al.. (2021). Reproduction and genetic diversity of Juniperus squamata along an elevational gradient in the Hengduan Mountains. Plant Diversity. 44(4). 369–376. 1 indexed citations
19.
Li, Jialiang, Richard I. Milne, Dafu Ru, et al.. (2020). Allopatric divergence and hybridization withinCupressus chengiana(Cupressaceae), a threatened conifer in the northern Hengduan Mountains of western China. Molecular Ecology. 29(7). 1250–1266. 55 indexed citations
20.
Li, Jialiang, et al.. (2020). Genomic insights into speciation history and local adaptation of an alpine aspen in the Qinghai–Tibet Plateau and adjacent highlands. Journal of Systematics and Evolution. 59(6). 1220–1231. 24 indexed citations

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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