Ming Wang

5.2k citations
232 papers · 3.4k · h-index 33

Impact in

  • Neurology top 5%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Gastrointestinal Tumor Research and Treatment

Papers in

    • Influenza Virus Research Studies 9
    • Acute Ischemic Stroke Management 7
    • Virology and Viral Diseases 6
    • Intracerebral and Subarachnoid Hemorrhage Research 11

Ming Wang

218 papers receiving 3.3k citations

Peers

Ming Wang
Comparison fields: 5 of 161
  • Neurology 360
  • Gastroenterology 123
  • Epidemiology 657
  • Nephrology 114
  • Immunology 295
Replace Giuseppe Castaldo with:
Giuseppe Castaldo Italy
Hiroshi Yasuda Japan
Robson Coutinho‐Silva Brazil
Consolato Sergi Canada
Marc D. Basson United States
Masayuki Ando Japan
Lei Ye China
Yoshinori Tanaka Japan
Michael Roth Switzerland
Fred J. Clubb United States
Ming Wang relative to Giuseppe Castaldo Italy Giuseppe Castaldo's profile →
Citations per field
00.5×1.6×
Giuseppe Castaldo · 1×
Citations per year

Countries citing papers authored by Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000105
2 202186
3 201977
4 201369
5 202265
6 202165
7 199863
8
Prognostic value of Ki67 index in gastrointestinal stromal tumors.
201460
9 201051
10 201650
11 201450
12 201549
13 201449
14 201548
15 200843
16 201942
17 201042
18 202040
19 201240
20 202239

About Ming Wang

Ming Wang is a scholar working on Epidemiology, Neurology, Pulmonary and Respiratory Medicine, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 232 papers that have together received 3.4k indexed citations. Recurring topics across this work include Gastrointestinal Tumor Research and Treatment (18 papers), Intracerebral and Subarachnoid Hemorrhage Research (11 papers), Influenza Virus Research Studies (9 papers), Viral Infections and Immunology Research (9 papers), Gastric Cancer Management and Outcomes (8 papers), Acute Ischemic Stroke Management (7 papers), Virology and Viral Diseases (6 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Neurology (360 citations), Gastroenterology (123 citations), Epidemiology (657 citations), Nephrology (114 citations) and Immunology (295 citations). Ming Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guohua Xi, Richard F. Keep, Ya Hua, Chuanxi Fu, Shu Wan, Zhicong Yang, Chaohui Jing, Jianxiong Xu, Liheng Bian and Chan Gao. Their work appears in journals such as Scientific Reports, Frontiers in Neurology, Vaccine, Human Vaccines & Immunotherapeutics and PLoS ONE.

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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