Jian‐Feng Mao

3.3k citations
90 papers · 1.9k indexed · h-index 26

Jian‐Feng Mao

90 papers receiving 1.9k citations

Peers

Jian‐Feng Mao
Comparison fields: 5 of 102
  • Ecological Modeling 239
  • Nature and Landscape Conservation 315
  • Ecology, Evolution, Behavior and Systematics 400
  • Genetics 563
  • Plant Science 695
Replace Yongshuai Sun with:
Yongshuai Sun China
Hiroaki Setoguchi Japan
Kevin S. Burgess United States
Javier Aguilar Spain
Matthew B. Hufford United States
Andreia Carina Turchetto‐Zolet Brazil
Maria Luisa Chiusano Italy
Aron J. Fazekas Canada
Josep A. Rosselló Spain
Tsan‐Piao Lin Taiwan
Jian‐Feng Mao relative to Yongshuai Sun China Yongshuai Sun's profile →
Citations per field
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Yongshuai Sun · 1×
Citations per year

Countries citing papers authored by Jian‐Feng Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Feng Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20242
3 20246
4 20234
5 202330
6 202137
7 20212
8 202037
9 202065
10 202022
11 201924
12 201913
13 201826
14 201620
15 20152
16
Clinical distribution and drug resistance analysis of Acinetobacter baumannii
20111
17 20112
18 201175
19 20101
20
Somatic chromosomes of three Parnassia species(Saxifragaceae) in Xinjiang, China
20023

About Jian‐Feng Mao

Jian‐Feng Mao is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Genetics, having authored 90 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic diversity and population structure (33 papers), Genomics and Phylogenetic Studies (23 papers), Plant biochemistry and biosynthesis (18 papers), Plant and animal studies (12 papers), Ecology and Vegetation Dynamics Studies (12 papers), Plant Gene Expression Analysis (10 papers), Chromosomal and Genetic Variations (9 papers) and Species Distribution and Climate Change (8 papers). The work is most often cited by research in Ecological Modeling (239 citations), Nature and Landscape Conservation (315 citations) and Ecology, Evolution, Behavior and Systematics (400 citations). Jian‐Feng Mao has collaborated with scholars based in China, Sweden and Canada. Frequent co-authors include Xiaoru Wang, Wei Zhao, Baosheng Wang, Xian‐Ge Hu, Yuqing Jin, Yousry A. El‐Kassaby, Yue Li, Hui Liu, Jie Gao and Kai‐Hua Jia. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología 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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