Wei Wang

36.6k total citations · 6 hit papers
967 papers, 23.0k citations indexed

About

Wei Wang is a scholar working on Molecular Biology, Surgery and Biomedical Engineering. According to data from OpenAlex, Wei Wang has authored 967 papers receiving a total of 23.0k indexed citations (citations by other indexed papers that have themselves been cited), including 261 papers in Molecular Biology, 181 papers in Surgery and 144 papers in Biomedical Engineering. Recurrent topics in Wei Wang's work include Functional Brain Connectivity Studies (75 papers), Nanoplatforms for cancer theranostics (52 papers) and Cancer, Hypoxia, and Metabolism (52 papers). Wei Wang is often cited by papers focused on Functional Brain Connectivity Studies (75 papers), Nanoplatforms for cancer theranostics (52 papers) and Cancer, Hypoxia, and Metabolism (52 papers). Wei Wang collaborates with scholars based in China, United States and Australia. Wei Wang's co-authors include Pengfei Rong, Frank M. Torti, Suzy V. Torti, Lan Coffman, Mary Ann Knovich, Xiaohong Chen, Zhichao Feng, Xiaoqian Ma, Yibao Ma and Xiang‐Yang Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Wei Wang

912 papers receiving 22.7k citations

Hit Papers

Serum ferritin: Past, present and future 2010 2026 2015 2020 2010 2020 2020 2018 2024 200 400 600

Peers

Wei Wang
Comparison fields: 5 of 209
  • Molecular Biology 7.8k
  • Biomedical Engineering 4.0k
  • Cancer Research 2.8k
  • Pulmonary and Respiratory Medicine 2.5k
  • Surgery 2.4k
Replace Kun Wang with:
Kun Wang China
Zheng Wang China
Shaker A. Mousa United States
Lin Wang China
Henry Brem United States
Ge Zhang China
Gang Li China
Matthias Nahrendorf United States
Karlheinz Peter Australia
Xuedong Zhou China
Kun Wang China View profile →
Citations per field, relative to Wei Wang
Wei Wang · 1×
Citations per year, relative to Wei Wang
Wei Wang · 1×

Countries citing papers authored by Wei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Wang. A scholar is included among the top collaborators of Wei Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei Wang. Wei Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 1
3 0
4 32
5 0
6 23
7 9
8 18
9 1
10 1
11 1
12 1
13 3
14 23
15 19
16 117
17 71
18 135
19 5
20 34

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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