Jing Xia

125 papers receiving 2.8k citations

Peers

Jing Xia
Comparison fields: 5 of 148
  • Biological Psychiatry 76
  • Cellular and Molecular Neuroscience 301
  • Behavioral Neuroscience 56
  • Molecular Biology 1.1k
  • Endocrine and Autonomic Systems 87
Replace Joong‐Sun Kim with:
Joong‐Sun Kim South Korea
Sun Hee Lee South Korea
Kai‐Li Liu China
Jingyuan Chen China
Fei Huang China
Gholamreza Hassanzadeh Iran
Lu Yang China
Toru Egashira Japan
Hui Ding China
Jing Xia relative to Joong‐Sun Kim South Korea Joong‐Sun Kim's profile →
Citations per field
00.5×1.5×
Joong‐Sun Kim · 1×
Citations per year

Countries citing papers authored by Jing Xia

Since Specialization
Citations

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

Fields of papers citing papers by Jing Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010133
2 201697
3 201992
4 202288
5 201187
6 202183
7 199683
8 201674
9 200674
10 201469
11 202369
12 201266
13 201763
14 199062
15 201160
16 202156
17 201552
18 202147
19 202346
20 201846

About Jing Xia

Jing Xia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Pharmacology and Epidemiology, having authored 131 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (5 papers), Cancer-related molecular mechanisms research (5 papers), Ginseng Biological Effects and Applications (5 papers), MicroRNA in disease regulation (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Pharmacological Effects of Natural Compounds (4 papers). The work is most often cited by research in Biological Psychiatry (76 citations), Cellular and Molecular Neuroscience (301 citations), Behavioral Neuroscience (56 citations), Molecular Biology (1.1k citations) and Endocrine and Autonomic Systems (87 citations). Jing Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jeffrey W. Dalley, Piers C. Emson, Richard B. Greenwald, Xianqun Fan, Ping Gu, Trevor W. Robbins, Xiaojian Zhou, Suzanne J. Randle, Tie‐Ning Zhang and Chunfeng Liu. Their work appears in journals such as European Journal of Neuroscience, International Immunopharmacology, Frontiers in Cellular and Infection Microbiology, Journal of Hazardous Materials and Biochemical and Biophysical Research Communications.

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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