Bao‐Kai Cui

9.4k citations
198 papers · 4.6k · h-index 37

Impact in

Papers in

Bao‐Kai Cui

194 papers receiving 4.5k citations

Peers

Bao‐Kai Cui
Comparison fields: 5 of 98
  • Cell Biology 1.9k
  • Pharmacology 1.8k
  • Plant Science 3.8k
  • Ecology, Evolution, Behavior and Systematics 1.7k
  • Biotechnology 367
Replace Yu‐Cheng Dai with:
Yu‐Cheng Dai China
Nakarin Suwannarach Thailand
Daniel J. Royse United States
Yang Bi China
Joseph L. Smilanick United States
Susanne Zeilinger Austria
Roland W.S. Weber Germany
Angelo Garibaldi Italy
Antonio Ippolito Italy
Jaturong Kumla Thailand
Bao‐Kai Cui relative to Yu‐Cheng Dai China Yu‐Cheng Dai's profile →
Citations per field
00.5×1.5×
Yu‐Cheng Dai · 1×
Citations per year

Countries citing papers authored by Bao‐Kai Cui

Since Specialization
Citations

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

Fields of papers citing papers by Bao‐Kai Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bao‐Kai Cui. 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 Bao‐Kai Cui. The network helps show where Bao‐Kai Cui may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009218
2 2016177
3 2019158
4 2017134
5 2007128
6 2012116
7 2016110
8 201899
9 201583
10 201182
11 201778
12 201975
13 201174
14 201071
15 201267
16 201863
17 201561
18 201760
19 201559
20 202058

About Bao‐Kai Cui

Bao‐Kai Cui is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Pharmacology, Cell Biology and Molecular Biology, having authored 198 papers that have together received 4.6k indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (152 papers), Fungal Biology and Applications (89 papers), Lichen and fungal ecology (86 papers), Plant Pathogens and Fungal Diseases (82 papers), Enzyme-mediated dye degradation (20 papers), Plant and Fungal Species Descriptions (19 papers), Forest Ecology and Biodiversity Studies (17 papers) and Microbial Metabolism and Applications (14 papers). The work is most often cited by research in Cell Biology (1.9k citations), Pharmacology (1.8k citations), Plant Science (3.8k citations), Ecology, Evolution, Behavior and Systematics (1.7k citations) and Biotechnology (367 citations). Bao‐Kai Cui has collaborated with scholars based in China, Czechia and Belgium. Frequent co-authors include Yu‐Cheng Dai, Jing Si, Jie Song, Changlin Zhao, Li‐Wei Zhou, Hai-Jiao Li, Hai‐Sheng Yuan, Junliang Zhou, Zhu‐Liang Yang and Ge Meng. Their work appears in journals such as Mycological Progress, Phytotaxa, Frontiers in Microbiology, MycoKeys and Mycologia.

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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