Shou‐Hsien Li

2.8k citations
82 papers · 1.9k indexed · h-index 25
Topics
Genetic diversity and population structure (57 papers)Avian ecology and behavior (18 papers)Wildlife Ecology and Conservation (18 papers)
Journals
ScienceProceedings of the National Academy of SciencesSHILAP Revista de lepidopterología
Partner nations
TaiwanChinaUnited States

In The Last Decade

Shou‐Hsien Li

80 papers receiving 1.8k citations

Peers

Shou‐Hsien Li
Comparison fields: 5 of 75
  • Genetics 1.1k
  • Ecology 896
  • Ecology, Evolution, Behavior and Systematics 563
  • Ecological Modeling 475
  • Molecular Biology 416
Replace Robert Prŷs‐Jones with:
Robert Prŷs‐Jones United Kingdom
Marjorie D. Matocq United States
Jaime García‐Moreno United States
Alexandra Pavlova Australia
C.S. Roselaar Netherlands
Peter A. Hosner United States
Brian S. Arbogast United States
Borja Milá Spain
Carl H. Oliveros United States
Andrés M. Cuervo United States
Shou‐Hsien Li relative to Robert Prŷs‐Jones United Kingdom Robert Prŷs‐Jones's profile →
Citations per field
00.5×1.5×2.2×
Robert Prŷs‐Jones · 1×
Citations per year

Countries citing papers authored by Shou‐Hsien Li

Since Specialization
Citations

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

Fields of papers citing papers by Shou‐Hsien Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shou‐Hsien Li

This figure shows the co-authorship network connecting the top 25 collaborators of Shou‐Hsien Li. A scholar is included among the top collaborators of Shou‐Hsien Li 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 Shou‐Hsien Li. Shou‐Hsien Li 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
#WorkIndexed citations
1 1
2 0
3 3
4 6
5 7
6 1
7 105
8 7
9 14
10 20
11 18
12 25
13 13
14 27
15 27
16 24
17 53
18 28
19 35
20 29

About Shou‐Hsien Li

Shou‐Hsien Li is a scholar working on Ecological Modeling, Genetics and Ecology, having authored 82 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic diversity and population structure (57 papers), Avian ecology and behavior (18 papers) and Wildlife Ecology and Conservation (18 papers). The work is most often cited by research in Ecological Modeling (475 citations), Genetics (1.1k citations) and Ecology (896 citations). Shou‐Hsien Li has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Jerram L. Brown, Nirmal Bhagabati, Fumin Lei, Carol K. L. Yeung, Gang Song, Yanhua Qu, Chih–Ming Hung, Wei Liang, Chih‐Ming Hung and Xiaojun Yang. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

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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