Wang Li

745 citations
31 papers · 522 · h-index 11

Impact in

  • Neurology top 5%
    • Myasthenia Gravis and Thymoma
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Wang Li

25 papers receiving 511 citations

Peers

Wang Li
Comparison fields: 5 of 74
  • Neurology 166
  • Cancer Research 66
  • Oncology 108
  • Rheumatology 34
  • Control and Systems Engineering 46
Replace Kensuke Suzuki with:
Kensuke Suzuki Japan
Thomas Thomaidis Germany
Tomohiro Hori Japan
Anne Katrine Duun‐Henriksen Denmark
Xuejun Liu China
Ingeborg Küchler Germany
Kei Harada Japan
Tetsuya Shimada Japan
Xiaobo Yan China
Tae Hoon Roh South Korea
Wang Li relative to Kensuke Suzuki Japan Kensuke Suzuki's profile →
Citations per field
00.5×1.5×2.2×
Kensuke Suzuki · 1×
Citations per year

Countries citing papers authored by Wang Li

Since Specialization
Citations

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

Fields of papers citing papers by Wang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2 201585
3 201355
4 202052
5 200947
6 201340
7 201334
8 202127
9 201421
10 201819
11 202111
12 20149
13 20248
14 20146
15 20165
16 20213
17 20252
18
Study of Control System Simulation Based on Virtual Prototyping
20002
19 20242
20 20232

About Wang Li

Wang Li is a scholar working on Oncology, Control and Systems Engineering, Pathology and Forensic Medicine, Neurology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 522 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Myasthenia Gravis and Thymoma (3 papers), Biosimilars and Bioanalytical Methods (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Robot Manipulation and Learning (2 papers), Simulation and Modeling Applications (2 papers), Stochastic processes and financial applications (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Neurology (166 citations), Cancer Research (66 citations), Oncology (108 citations), Rheumatology (34 citations) and Control and Systems Engineering (46 citations). Wang Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Jian Feng, Ming Cheng, Xiaoxiao Ge, Bo Ye, Heng Zhao, Jicheng Tantai, Wei‐Qiang Gao, Jianhua Wu, Zhenhua Xiong and Bo Ye. Their work appears in journals such as World Journal of Surgical Oncology, Cell Research, PLoS ONE, Blood and Frontiers in Cell and Developmental Biology.

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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