X-L Wang

20 papers receiving 429 citations

Peers

X-L Wang
Comparison fields: 5 of 90
  • Otorhinolaryngology 142
  • Periodontics 39
  • Developmental Neuroscience 21
  • Physiology 107
  • Cancer Research 58
Replace Xiaobing Long with:
Xiaobing Long China
Enver Altaş Türkiye
Jitendra Kumar Kushwaha India
Sara A. Knowlden United States
Zhijian Yang China
Shigehito Mori Japan
Yongning Li China
Makoto Arai Japan
Ahmed Abdalla Egypt
Takao Hamamoto Japan
X-L Wang relative to Xiaobing Long China Xiaobing Long's profile →
Citations per field
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Xiaobing Long · 1×
Citations per year

Countries citing papers authored by X-L Wang

Since Specialization
Citations

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

Fields of papers citing papers by X-L Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010185
2 201046
3
Dexmedetomidine protects against ischemia/reperfusion injury in rat kidney.
201442
4 201436
5 201422
6 200921
7
Application of dynamic CT to identify lung cancer, pulmonary tuberculosis, and pulmonary inflammatory pseudotumor.
201714
8 201814
9 201912
10 202011
11 20207
12 20085
13 20214
14 20053
15 20233
16 20213
17 20183
18 20152
19 20172
20 20181

About X-L Wang

X-L Wang is a scholar working on Molecular Biology, Surgery, Cancer Research, Neurology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 436 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers), Drug Solubulity and Delivery Systems (1 paper), Pharmacological Effects and Toxicity Studies (1 paper), Mesenchymal stem cell research (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Otorhinolaryngology (142 citations), Periodontics (39 citations), Developmental Neuroscience (21 citations), Physiology (107 citations) and Cancer Research (58 citations). X-L Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include YM Zhang, S Z He, XY Li, Lingyun Gao, GQ Wang, L Zhang, Ning Lü, Kusheng Wu, Jiawen Zhang and Lili Niu. Their work appears in journals such as Journal of Human Hypertension, The Journal of Laryngology & Otology, Cell Death and Disease, Reproduction in Domestic Animals and Human & Experimental Toxicology.

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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