Xiaoping Wang

79 papers receiving 1.5k citations

Peers

Xiaoping Wang
Comparison fields: 5 of 134
  • Biological Psychiatry 54
  • Behavioral Neuroscience 51
  • Hepatology 106
  • Nutrition and Dietetics 137
  • Physiology 204
Replace Ashok K. Singh with:
Ashok K. Singh United States
Fátima Theresinha Costa Rodrigues Guma Brazil
Atsushi Ikeda Japan
Salvador Pérez Spain
Rui Chen China
Vikas Misra United States
Jin Li China
Marta Melis Italy
Mehmet Tarakçıoğlu Türkiye
Hua Hu China
Xiaoping Wang relative to Ashok K. Singh United States Ashok K. Singh's profile →
Citations per field
00.5×1.5×2.1×
Ashok K. Singh · 1×
Citations per year

Countries citing papers authored by Xiaoping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012160
2 2017141
3 2011112
4 2018112
5 200692
6 199960
7 201749
8 199947
9 200846
10 201541
11 201138
12 201836
13 201928
14 201526
15 200125
16 201924
17 201923
18
Asymptomatic patients of chronic obstructive pulmonary disease in China.
201022
19 201121
20 201520

About Xiaoping Wang

Xiaoping Wang is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Immunology and Surgery, having authored 82 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (9 papers), Heat shock proteins research (9 papers), Liver Disease Diagnosis and Treatment (6 papers), Pediatric health and respiratory diseases (6 papers), Immunotherapy and Immune Responses (5 papers), Virus-based gene therapy research (4 papers) and Medicinal Plants and Bioactive Compounds (4 papers). The work is most often cited by research in Biological Psychiatry (54 citations), Behavioral Neuroscience (51 citations), Hepatology (106 citations), Nutrition and Dietetics (137 citations) and Physiology (204 citations). Xiaoping Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Huanping Lin, Yan Gu, Huiling Wang, Yanjie Bai, Jiaping Chen, Guo‐Chong Chen, Li‐Qiang Qin, Yuanyuan Ye, Marc Moreau and K. M. Bagnall. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Canadian Journal of Gastroenterology and Hepatology, Cancer Biotherapy and Radiopharmaceuticals, Spine and Journal of Surgical Research.

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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