Ying-Chun Li

780 total citations
29 papers, 596 citations indexed

About

Ying-Chun Li is a scholar working on Cancer Research, Global and Planetary Change and Ecology. According to data from OpenAlex, Ying-Chun Li has authored 29 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cancer Research, 14 papers in Global and Planetary Change and 10 papers in Ecology. Recurrent topics in Ying-Chun Li's work include Myxozoan Parasites in Aquatic Species (15 papers), Marine Ecology and Invasive Species (14 papers) and Aquatic Invertebrate Ecology and Behavior (10 papers). Ying-Chun Li is often cited by papers focused on Myxozoan Parasites in Aquatic Species (15 papers), Marine Ecology and Invasive Species (14 papers) and Aquatic Invertebrate Ecology and Behavior (10 papers). Ying-Chun Li collaborates with scholars based in China, Japan and Indonesia. Ying-Chun Li's co-authors include Hiroshi Sato, Dan Sun, Xiaoyu Zhang, Zhenhai Tang, Ruizhi Zheng, Fen Huang, Shuhei Tanaka, Qing‐He Zhang, Qian Zhang and Jinyong Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and American Journal Of Pathology.

In The Last Decade

Ying-Chun Li

28 papers receiving 590 citations

Peers

Ying-Chun Li
Comparison fields: 5 of 77
  • Cancer Research 408
  • Molecular Biology 262
  • Global and Planetary Change 153
  • Ecology 116
  • Pulmonary and Respiratory Medicine 85
Replace Lohans Pedrera with:
Lohans Pedrera Germany
D. P. Morrison Canada
Fatemeh Seyednasrollah Finland
Matthew Evans United Kingdom
Sari Pennings United Kingdom
Zachary Ramjan United States
Jie Zhai China
Rosann Robinson United States
Kazunori Shiraishi Japan
Lohans Pedrera Germany View profile →
Citations per field, relative to Ying-Chun Li
Ying-Chun Li · 1×
Citations per year, relative to Ying-Chun Li
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Countries citing papers authored by Ying-Chun Li

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Chun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying-Chun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Chun Li. A scholar is included among the top collaborators of Ying-Chun 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 Ying-Chun Li. Ying-Chun 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
# Work Indexed citations
1 0
2 1
3 1
4 5
5 6
6 91
7 15
8 15
9 2
10 10
11 6
12 15
13 20
14 18
15 24
16 33
17 44
18 8
19 102
20 38

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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