Li‐Song Wang

1.5k citations
122 papers · 1.2k · h-index 20

Impact in

Papers in

Li‐Song Wang

116 papers receiving 1.2k citations

Peers

Li‐Song Wang
Comparison fields: 5 of 107
  • Ecology, Evolution, Behavior and Systematics 515
  • Pharmacology 124
  • Microbiology 5
  • Ecological Modeling 13
  • Plant Science 153
Replace Han‐Bo Zhang with:
Han‐Bo Zhang China
Abdul Hamid Ahmad Malaysia
Liping Yan China
Jaroslav Holuša Czechia
Jianren Ye China
Guangjun Wang China
Jie Bai China
Jorge Martín‐García Spain
Liang Dong Guo China
Li‐Song Wang relative to Han‐Bo Zhang China Han‐Bo Zhang's profile →
Citations per field
00.5×2×2.7×
Han‐Bo Zhang · 1×
Citations per year

Countries citing papers authored by Li‐Song Wang

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Song Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200866
2 201358
3 200147
4 201143
5 201543
6 201742
7 201941
8 202234
9 201033
10 202133
11
Distribution Pattern and Conservation Priorities for Vascular Plants in Southern China: Guangxi Province as a Case Study
201032
12 201232
13 201532
14 202031
15 201830
16 201228
17 201127
18 201321
19 202121
20 202020

About Li‐Song Wang

Li‐Song Wang is a scholar working on Ecology, Evolution, Behavior and Systematics, Pharmacology, Molecular Biology, Microbiology and Ecology, having authored 122 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lichen and fungal ecology (78 papers), Genomics and Phylogenetic Studies (11 papers), Microbial Community Ecology and Physiology (7 papers), Microbial Natural Products and Biosynthesis (7 papers), Botany and Plant Ecology Studies (5 papers), Genetic diversity and population structure (3 papers), Actinomycetales infections and treatment (3 papers) and Plant Diversity and Evolution (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (515 citations), Pharmacology (124 citations), Microbiology (5 citations), Ecological Modeling (13 citations) and Plant Science (153 citations). Li‐Song Wang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Xin Yu Wang, Haining Qin, Jae‐Seoun Hur, Yi Jiang, Cheng‐Lin Jiang, Takao Narui, Helena Korpelainen, Xiaomei Zhang, Yong Ming Han and C. Li. Their work appears in journals such as The Lichenologist, MycoKeys, The Bryologist, Current Microbiology and Phytotaxa.

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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