Xiaoming Wang

7.1k citations
241 papers · 4.9k indexed · h-index 37

Impact in

Papers in

Xiaoming Wang

230 papers receiving 4.9k citations

Peers

Xiaoming Wang
Comparison fields: 5 of 140
  • Geriatrics and Gerontology 179
  • Physiology 781
  • Biological Psychiatry 74
  • Molecular Biology 2.0k
  • Neurology 230
Replace Elena Grossini with:
Elena Grossini Italy
D. R. Abernethy United States
Francesca Rossi Italy
Li Liu China
Yan Leng China
David Mary United Kingdom
Min‐Seon Kim South Korea
Satoru Kobayashi Japan
Patrizio Odetti Italy
Xiaoming Wang relative to Elena Grossini Italy Elena Grossini's profile →
Citations per field
00.5×2.5×
Elena Grossini · 1×
Citations per year

Countries citing papers authored by Xiaoming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20242
4 20239
5 20233
6 20224
7 20213
8 20210
9 202016
10 20198
11 201759
12 20171
13 20167
14 20151
15 201329
16 201312
17 20121
18 20109
19
Den Habitat Characteristics of Tibetan Foxes (Vulpes ferrilata) in Shiqu County, Sichuan Province, China
20086
20 200863

About Xiaoming Wang

Xiaoming Wang is a scholar working on Biological Psychiatry, Neurology, Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Behavioral Neuroscience, having authored 241 papers that have together received 4.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (14 papers), Autophagy in Disease and Therapy (13 papers), Ion channel regulation and function (11 papers), Cardiac Ischemia and Reperfusion (11 papers), Cardiac electrophysiology and arrhythmias (10 papers), Endoplasmic Reticulum Stress and Disease (10 papers), Adipose Tissue and Metabolism (10 papers) and Vestibular and auditory disorders (9 papers). The work is most often cited by research in Geriatrics and Gerontology (179 citations), Physiology (781 citations), Biological Psychiatry (74 citations), Molecular Biology (2.0k citations) and Neurology (230 citations). Xiaoming Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jun Ren, Congde Huo, Mingge Ding, Hui Su, Feng Fu, Wei Ge, Erhe Gao, Min Xia, Xin Jia and Haifeng Zhang. Their work appears in journals such as Blood, PLoS ONE, Frontiers in Neurology, Cellular Physiology and Biochemistry and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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