Jin Wang

15.7k total citations · 2 hit papers
420 papers, 10.7k citations indexed

About

Jin Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jin Wang has authored 420 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Molecular Biology, 65 papers in Pulmonary and Respiratory Medicine and 51 papers in Oncology. Recurrent topics in Jin Wang's work include Chemical Reactions and Mechanisms (23 papers), Protein Degradation and Inhibitors (19 papers) and Photochemistry and Electron Transfer Studies (17 papers). Jin Wang is often cited by papers focused on Chemical Reactions and Mechanisms (23 papers), Protein Degradation and Inhibitors (19 papers) and Photochemistry and Electron Transfer Studies (17 papers). Jin Wang collaborates with scholars based in China, United States and Poland. Jin Wang's co-authors include Joseph M. DeSimone, Mary E. Napier, Matthew S. Platz, Meng C. Wang, James D. Byrne, Gotard Burdziński, Jianwei Chen, Jacek Kubicki, Shaomin Tian and Xiqian Jiang and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jin Wang

400 papers receiving 10.6k citations

Hit Papers

An analysis of factors affecting the severity of marine a... 2021 2026 2022 2024 2021 2024 50 100 150

Peers

Jin Wang
Comparison fields: 5 of 188
  • Molecular Biology 4.5k
  • Biomedical Engineering 1.1k
  • Oncology 977
  • Organic Chemistry 959
  • Genetics 894
Replace Mohammad Amjad Kamal with:
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Yitao Wang Macao
Chao Wang China
Yifei Wang China
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Young Soo Kim South Korea
Jake Y. Chen United States
Ju Zhang China
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Mohammad Amjad Kamal Saudi Arabia View profile →
Citations per field, relative to Jin Wang
Jin Wang · 1×
Citations per year, relative to Jin Wang
Jin Wang · 1×

Countries citing papers authored by Jin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Wang. A scholar is included among the top collaborators of Jin 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 Jin Wang. Jin 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 1
2 0
3 2
4 0
5 5
6 4
7 2
8 1
9
Prediction of the severity of marine accidents using improved machine learning breakdown →
42
10 3
11 14
12 3
13 5
14 9
15 4
16 3
17 5
18 37
19
[Relationship between the clustering of risk factors and the prevalence of hypertension in the community residents living in Shanghai].
2
20
X-ray standing waves and their use in characterizing biologically relevant thin film systems /
0

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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