Wang Li

726 citations
29 papers · 514 · h-index 11

Impact in

  • Neurology top 10%
    • Myasthenia Gravis and Thymoma
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Thyroid and Parathyroid Surgery 2
    • CAR-T cell therapy research 3

Wang Li

23 papers receiving 502 citations

Peers

Wang Li
Comparison fields: 5 of 77
  • Neurology 178
  • Cancer Research 74
  • Oncology 118
  • Epidemiology 105
  • Endocrinology, Diabetes and Metabolism 48
Replace Tae Hoon Roh with:
Tae Hoon Roh South Korea
Xuejun Liu China
Tomohiro Hori Japan
Kensuke Suzuki Japan
Xiaoyan Chang China
Michał Jeleń Poland
Tetsuya Shimada Japan
Xiangchuang Kong China
Antonio Guiducci Italy
Xiaobo Yan China
Wang Li relative to Tae Hoon Roh South Korea Tae Hoon Roh's profile →
Citations per field
00.5×11.8×
Tae Hoon Roh · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2 201585
3 201354
4 202051
5 200946
6 201340
7 201334
8 202126
9 201420
10 201819
11 202110
12 20149
13 20248
14 20146
15 20165
16 20213
17 20252
18 20232
19
Study of Control System Simulation Based on Virtual Prototyping
20002
20 20242

About Wang Li

Wang Li is a scholar working on Surgery, Oncology, Control and Systems Engineering, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 29 papers that have together received 514 indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Myasthenia Gravis and Thymoma (3 papers), Meningioma and schwannoma management (2 papers), Robot Manipulation and Learning (2 papers), Thyroid and Parathyroid Surgery (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Simulation and Modeling Applications (2 papers) and Pharmacovigilance and Adverse Drug Reactions (1 paper). The work is most often cited by research in Neurology (178 citations), Cancer Research (74 citations), Oncology (118 citations), Epidemiology (105 citations) and Endocrinology, Diabetes and Metabolism (48 citations). Wang Li has collaborated with scholars based in China, France and United States. Frequent co-authors include Jian Feng, Bo Ye, Xiaoxiao Ge, Ming Cheng, Heng Zhao, Jicheng Tantai, Wei‐Qiang Gao, Jianhua Wu, Zhenhua Xiong and Yuxiang Fang. Their work appears in journals such as World Journal of Surgical Oncology, Science China Technological Sciences, BMC Biology, Cell Research 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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