Taixiang Chen

449 citations
30 papers · 321 · h-index 11

Impact in

Papers in

Taixiang Chen

29 papers receiving 321 citations

Peers

Taixiang Chen
Comparison fields: 5 of 37
  • Ecology, Evolution, Behavior and Systematics 181
  • Plant Science 196
  • Pharmacology 71
  • Cell Biology 53
  • Environmental Chemistry 29
Replace Meiling Song with:
Meiling Song China
Yong Ok Kim United States
Viviana M. Chiocchio Argentina
Dariusz Pańka Poland
E.J. van der Linde South Africa
Yiling Zuo China
Mariana Pérgola Argentina
Agnieszka Domka Poland
Ying Ren China
Lamabam Peter Singh India
Taixiang Chen relative to Meiling Song China Meiling Song's profile →
Citations per field
00.5×1.5×1.8×
Meiling Song · 1×
Citations per year

Countries citing papers authored by Taixiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Taixiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taixiang Chen. 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 Taixiang Chen. The network helps show where Taixiang Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201858
2 202047
3 202137
4 201832
5 202215
6 202115
7 201814
8 202111
9 202110
10 202210
11 201910
12 20218
13 20228
14 20217
15 20235
16 20215
17 20224
18 20224
19 20223
20 20223

About Taixiang Chen

Taixiang Chen is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Pharmacology and Cell Biology, having authored 30 papers that have together received 321 indexed citations. Recurring topics across this work include Plant and fungal interactions (18 papers), Mycorrhizal Fungi and Plant Interactions (7 papers), Fungal Biology and Applications (6 papers), Legume Nitrogen Fixing Symbiosis (5 papers), Plant Toxicity and Pharmacological Properties (4 papers), Plant Pathogenic Bacteria Studies (4 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (181 citations), Plant Science (196 citations), Pharmacology (71 citations), Cell Biology (53 citations) and Environmental Chemistry (29 citations). Taixiang Chen has collaborated with scholars based in China, United States and Estonia. Frequent co-authors include Chunjie Li, James F. White, Zhibiao Nan, Zhenjiang Chen, Shuihong Chen, Richard D. Johnson, Yuanyuan Jin, Xiang Yao, Kamran Malik and Jianjun Wang. Their work appears in journals such as Plant and Soil, Journal of Fungi, Journal of Plant Growth Regulation, Frontiers in Microbiology and Plant Pathology.

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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