Yunxia Wang

10.2k citations
268 papers · 7.9k indexed · 1 hit paper · h-index 47

Yunxia Wang

250 papers receiving 7.7k citations

Hit Papers

Therapeutic target database 2020: enriched resource for f...6512019202620212023200400600

Peers

Yunxia Wang
Comparison fields: 5 of 189
  • Biological Psychiatry 802
  • Behavioral Neuroscience 575
  • Neurology 485
  • Pharmacology 385
  • Molecular Biology 3.0k
Replace Tapan Behl with:
Tapan Behl India
Xinmin Liu China
Simona Bungău Romania
Puneet Kumar India
Gang Wang China
Akira Hara Japan
Hiroshi Takeda Japan
Nicole Kleinstreuer United States
L. Jackson Roberts United States
Wim Vanden Berghe Belgium
Yunxia Wang relative to Tapan Behl India Tapan Behl's profile →
Citations per field
00.5×6.1×
Tapan Behl · 1×
Citations per year

Countries citing papers authored by Yunxia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yunxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20248
4 20242
5 20240
6 20242
7 20240
8 20232
9 202331
10 20235
11 20238
12 20231
13 202233
14 201917
15 201839
16 201720
17 201419
18 20130
19 20131
20 200937

About Yunxia Wang

Yunxia Wang is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Neurology, Spectroscopy and Plant Science, having authored 268 papers that have together received 7.9k indexed citations. Recurring topics across this work include Plant responses to elevated CO2 (34 papers), Atmospheric chemistry and aerosols (18 papers), Tryptophan and brain disorders (17 papers), Plant Stress Responses and Tolerance (14 papers), Stress Responses and Cortisol (12 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Advanced Proteomics Techniques and Applications (11 papers). The work is most often cited by research in Biological Psychiatry (802 citations), Behavioral Neuroscience (575 citations), Neurology (485 citations), Pharmacology (385 citations) and Molecular Biology (3.0k citations). Yunxia Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Michael Frei, Feng Zhu, Lianxin Yang, Chun‐Lei Jiang, Yu Chen, J. Michael Conlon, Martyn T. Smith, Jing Tang, Qingxia Yang and Fengcheng Li. Their work appears in journals such as Briefings in Bioinformatics, Agriculture Ecosystems & Environment, Field Crops Research, Brain Behavior and Immunity and Journal of Neuroinflammation.

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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