Weixing Wang

5.8k citations
235 papers · 4.2k · 1 hit paper · h-index 32

Impact in

Papers in

    • Pancreatitis Pathology and Treatment 46
    • Cholangiocarcinoma and Gallbladder Cancer Studies 9
    • RNA modifications and cancer 17

Weixing Wang

223 papers receiving 4.1k citations

Weixing Wang's Hit Papers

Clinical Characteristics and Risk Factors for Mortality of COVID-19 Patients With Diabetes in Wuhan, China: A Two-Center, Retrospective Study 2020 · 293 citations
2930+2+4Years since publication50100150200250

Peers

Weixing Wang
Comparison fields: 5 of 166
  • Cancer Research 525
  • Biological Psychiatry 83
  • Pharmacology 208
  • Oncology 445
  • Molecular Biology 1.2k
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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
00.5×1.5×1.8×
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 235 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 →
2020293
2 2008168
3 2008139
4 2016120
5 2005108
6 201190
7 202086
8 201679
9 202276
10 201674
11 202372
12 202370
13 202064
14 201559
15 200658
16 201151
17 201449
18 201948
19 202045
20 201544

About Weixing Wang

Weixing Wang is a scholar working on Surgery, Molecular Biology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 235 papers that have together received 4.2k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (46 papers), RNA modifications and cancer (17 papers), Cancer-related molecular mechanisms research (12 papers), MicroRNA in disease regulation (11 papers), Liver Disease Diagnosis and Treatment (10 papers), Smart Agriculture and AI (10 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers) and Ferroptosis and cancer prognosis (8 papers). The work is most often cited by research in Cancer Research (525 citations), Biological Psychiatry (83 citations), Pharmacology (208 citations), Oncology (445 citations) and Molecular Biology (1.2k citations). Weixing Wang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Lilong Zhang, Qiao Shi, Zhendong Qiu, Zhiyu Zhao, Chen Chen, Dongfeng Zhou, Wenhong Deng, Tianrui Kuang, Quanfeng Wu and Xiang Tian. Their work appears in journals such as Scientific Reports, Frontiers in Immunology, Digestive Diseases and Sciences, International Immunopharmacology 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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