Weixing Wang

5.6k citations
236 papers · 4.1k indexed · 1 hit paper · h-index 32

Impact in

Papers in

    • Cancer-related molecular mechanisms research 14
    • MicroRNA in disease regulation 12
    • Cancer, Lipids, and Metabolism 11
    • Pancreatitis Pathology and Treatment 51

Weixing Wang

223 papers receiving 4.0k citations

Hit Papers

Clinical Characteristics and Risk Factors for Mortality of COVID-19 Patients With Diabetes in Wuhan, China: A Two-Center, Retrospective Study 2020 · 290 citations
290202020262022202450100150200250

Peers

Weixing Wang
Comparison fields: 5 of 170
  • Biological Psychiatry 107
  • Cancer Research 633
  • Pharmacology 257
  • Oncology 646
  • Molecular Biology 1.4k
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Jing Li China
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Weixing Wang relative to Jing Li China Jing Li's profile →
Citations per field
00.5×1.5×2.0×
Jing Li · 1×
Citations per year

Countries citing papers authored by Weixing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weixing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 236 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical Characteristics and Risk Factors for Mortality of COVID-19 Patients With Diabetes in Wuhan, China: A Two-Center, Retrospective Study
Hit paper breakdown →
2020290
2 2008166
3 2008138
4 2016119
5 2005108
6 201188
7 202085
8 201676
9 202272
10 201671
11 202366
12 202063
13 201558
14 200658
15 202355
16 201151
17 201448
18 201946
19 202044
20 202343

About Weixing Wang

Weixing Wang is a scholar working on Cancer Research, Surgery, Oncology, Hepatology and Immunology, having authored 236 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (51 papers), RNA modifications and cancer (19 papers), Liver Disease Diagnosis and Treatment (18 papers), Pancreatic and Hepatic Oncology Research (14 papers), Cancer-related molecular mechanisms research (14 papers), Cancer Immunotherapy and Biomarkers (13 papers), MicroRNA in disease regulation (12 papers) and Cancer, Lipids, and Metabolism (11 papers). The work is most often cited by research in Biological Psychiatry (107 citations), Cancer Research (633 citations), Pharmacology (257 citations), Oncology (646 citations) and Molecular Biology (1.4k citations). Weixing Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Lilong Zhang, Qiao Shi, Chen Chen, Zhiyu Zhao, Guo Hong-zhu, Dongfeng Zhou, Wenhong Deng, Zhendong Qiu, Gao Liu and Xiang Tian. Their work appears in journals such as Scientific Reports, International Immunopharmacology, Digestive Diseases and Sciences, Frontiers in Immunology and Journal of Cancer.

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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