Fay‐Wei Li

6.2k citations
84 papers · 2.6k · h-index 29

Impact in

Papers in

Fay‐Wei Li

80 papers receiving 2.6k citations

Peers

Fay‐Wei Li
Comparison fields: 5 of 91
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Plant Science 1.3k
  • Molecular Biology 1.4k
  • Cell Biology 213
  • Horticulture 9
Replace Susann Wicke with:
Susann Wicke Germany
Linda E. Watson United States
Maxim V. Kapralov United Kingdom
Krzysztof Spalik Poland
Tammy L. Sage Canada
Evgeny V. Mavrodiev United States
Wusheng Liu United States
Linda A. Raubeson United States
Anne Britt United States
Roy C. Brown United States
Fay‐Wei Li relative to Susann Wicke Germany Susann Wicke's profile →
Citations per field
00.5×1.5×
Susann Wicke · 1×
Citations per year

Countries citing papers authored by Fay‐Wei Li

Since Specialization
Citations

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

Fields of papers citing papers by Fay‐Wei Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016173
2 2018160
3 2015137
4 2020131
5 2011117
6 201183
7 201678
8 201674
9 201671
10 201671
11 201366
12 201564
13 202161
14 201960
15 201560
16 201960
17 202059
18 201458
19 201857
20 201253

About Fay‐Wei Li

Fay‐Wei Li is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology, Plant Science, Ecology and Cell Biology, having authored 84 papers that have together received 2.6k indexed citations. Recurring topics across this work include Fern and Epiphyte Biology (25 papers), Plant Diversity and Evolution (25 papers), Plant and animal studies (20 papers), Photosynthetic Processes and Mechanisms (12 papers), Genomics and Phylogenetic Studies (11 papers), Plant Pathogens and Fungal Diseases (10 papers), Plant and Fungal Species Descriptions (10 papers) and Plant Parasitism and Resistance (9 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.1k citations), Plant Science (1.3k citations), Molecular Biology (1.4k citations), Cell Biology (213 citations) and Horticulture (9 citations). Fay‐Wei Li has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Kathleen M. Pryer, Carl J. Rothfels, Li‐Yaung Kuo, Gane Ka‐Shu Wong, Juan Carlos Villarreal, Wen‐Liang Chiou, Chun‐Neng Wang, Sarah Mathews, Sean W. Graham and Michael D. Windham. Their work appears in journals such as New Phytologist, Nature Communications, Systematic Botany, Applications in Plant Sciences and American Journal of Botany.

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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