Shufei Wang

56 papers receiving 1.0k citations

Hit Papers

Function of the c-Met receptor tyrosine kinase in carcinogenesis and associated therapeutic opportunities 2018 · 430 citations
4300+2+5Years since publication100200300400

Peers

Shufei Wang
Comparison fields: 5 of 147
  • Cancer Research 179
  • Hepatology 87
  • Oncology 168
  • Molecular Biology 356
  • Global and Planetary Change 98
Replace Minxia Liu with:
Minxia Liu China
Xiaochao Zhang China
Daoyuan Wang China
Yunjia Liu China
Shiyao Li China
Wenqi Chen China
Seok Soon Park South Korea
Jingyan Chen China
Alexander Herr Germany
Hongxing Zhou China
Shufei Wang relative to Minxia Liu China Minxia Liu's profile →
Citations per field
00.5×4.5×
Minxia Liu · 1×
Citations per year

Countries citing papers authored by Shufei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shufei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Function of the c-Met receptor tyrosine kinase in carcinogenesis and associated therapeutic opportunities
Hit paper breakdown →
2018430
2 2019107
3 202372
4 201936
5 202227
6 202422
7 202020
8 202220
9 202219
10 202317
11 202217
12 202217
13 202015
14 202215
15 202214
16 202314
17 202314
18 202211
19 202110
20 202310

About Shufei Wang

Shufei Wang is a scholar working on Civil and Structural Engineering, Electrical and Electronic Engineering, Global and Planetary Change, Artificial Intelligence and Environmental Engineering, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (8 papers), Structural Response to Dynamic Loads (6 papers), Wireless Signal Modulation Classification (5 papers), Conservation, Biodiversity, and Resource Management (5 papers), Supercapacitor Materials and Fabrication (4 papers), Bauxite Residue and Utilization (4 papers), Soil Carbon and Nitrogen Dynamics (4 papers) and Recycling and utilization of industrial and municipal waste in materials production (4 papers). The work is most often cited by research in Cancer Research (179 citations), Hepatology (87 citations), Oncology (168 citations), Molecular Biology (356 citations) and Global and Planetary Change (98 citations). Shufei Wang has collaborated with scholars based in China, Japan and Singapore. Frequent co-authors include Wei Xiong, Yazhuo Zhang, Guiyuan Li, Zhaoyang Zeng, Ke Jin, Xiayu Li, Yingfen Wu, Xiaoling Li, Wei Hang and Chunmei Fan. Their work appears in journals such as International Journal of Environmental Research and Public Health, Atmosphere, Ecological Engineering, Environmental Technology and Structures.

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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