Xingming Wang

2.7k citations
78 papers · 2.2k · h-index 28

Impact in

Papers in

Xingming Wang

75 papers receiving 2.1k citations

Peers

Xingming Wang
Comparison fields: 5 of 126
  • Biological Psychiatry 748
  • Behavioral Neuroscience 267
  • Developmental Neuroscience 115
  • Neurology 236
  • Pharmacology 372
Replace Giselli Scaini with:
Giselli Scaini Brazil
Teresa Femenía Spain
Ann-Katrin Kraeuter Australia
Peng Xie China
Su‐Xia Li China
Gabriela Delevati Colpo United States
Gislaine Tezza Rezin Brazil
Yanling Wei China
Carolina Demarchi Munhoz Brazil
Florian Reichmann Austria
Xingming Wang relative to Giselli Scaini Brazil Giselli Scaini's profile →
Citations per field
00.5×1.5×
Giselli Scaini · 1×
Citations per year

Countries citing papers authored by Xingming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xingming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020153
2 2021143
3 2020133
4 2022118
5 2020101
6 202194
7 201372
8 200969
9 201756
10 202256
11 201955
12 201547
13 202246
14 202245
15 202245
16 201044
17 202043
18 202241
19 202241
20 202238

About Xingming Wang

Xingming Wang is a scholar working on Molecular Biology, Biological Psychiatry, Pharmacology, Physiology and Behavioral Neuroscience, having authored 78 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (20 papers), Treatment of Major Depression (14 papers), Gut microbiota and health (9 papers), Stress Responses and Cortisol (9 papers), Pain Mechanisms and Treatments (7 papers), Protein Interaction Studies and Fluorescence Analysis (6 papers), Metal complexes synthesis and properties (6 papers) and Intensive Care Unit Cognitive Disorders (4 papers). The work is most often cited by research in Biological Psychiatry (748 citations), Behavioral Neuroscience (267 citations), Developmental Neuroscience (115 citations), Neurology (236 citations) and Pharmacology (372 citations). Xingming Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Kenji Hashimoto, Youge Qu, Lijia Chang, Jianjun Yang, Yunfei Tan, Yaoyu Pu, Siming Wang, Yūkō Fujita, Jiancheng Zhang and Tamaki Ishima. Their work appears in journals such as Translational Psychiatry, Journal of Affective Disorders, Building and Environment, Neuropharmacology and Journal of Molecular Neuroscience.

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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