Lin‐Wei Wang

824 citations
30 papers · 672 · h-index 16

Impact in

Papers in

    • Breast Cancer Treatment Studies 5
    • Radical Photochemical Reactions 4
    • Sulfur-Based Synthesis Techniques 4
    • Catalytic C–H Functionalization Methods 2

Lin‐Wei Wang

29 papers receiving 666 citations

Peers

Lin‐Wei Wang
Comparison fields: 5 of 101
  • Toxicology 22
  • Biophysics 33
  • Organic Chemistry 144
  • Cancer Research 65
  • Radiology, Nuclear Medicine and Imaging 76
Replace Kuansong Wang with:
Kuansong Wang China
R J Locke United Kingdom
Soyoung Kang United States
Laurie Baxter United States
Xiaohui Zhan China
Aiping Zheng China
Guoliang Shao China
Fuchun Chen China
Yunjie He China
Rezvan Esmaeili Iran
Lin‐Wei Wang relative to Kuansong Wang China Kuansong Wang's profile →
Citations per field
00.5×7.6×
Kuansong Wang · 1×
Citations per year

Countries citing papers authored by Lin‐Wei Wang

Since Specialization
Citations

This map shows the geographic impact of Lin‐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 Lin‐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 Lin‐Wei Wang more than expected).

Fields of papers citing papers by Lin‐Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020133
2 201760
3 201558
4 201553
5 202346
6 202133
7 201327
8
High expression of transform growth factor beta 1 in gastric cancer confers worse outcome: results of a cohort study on 184 patients.
201425
9 201325
10 202323
11 201322
12 201621
13 202020
14 201519
15 201418
16 201515
17 201415
18 201512
19 202110
20 20168

About Lin‐Wei Wang

Lin‐Wei Wang is a scholar working on Cancer Research, Organic Chemistry, Pulmonary and Respiratory Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 672 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Radical Photochemical Reactions (4 papers), AI in cancer detection (4 papers), Sulfur-Based Synthesis Techniques (4 papers), Cell Image Analysis Techniques (3 papers), Remote Sensing and Land Use (2 papers), Catalytic C–H Functionalization Methods (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Toxicology (22 citations), Biophysics (33 citations), Organic Chemistry (144 citations), Cancer Research (65 citations) and Radiology, Nuclear Medicine and Imaging (76 citations). Lin‐Wei Wang has collaborated with scholars based in China and Russia. Frequent co-authors include Yan Li, Haitao Tang, Ying‐Ming Pan, Chun‐Wei Peng, Jingping Yuan, Xiu‐Jin Meng, Guifang Yang, Zu‐Yu Mo, Chuang Chen and Aiping Qu. Their work appears in journals such as The Journal of Organic Chemistry, Scientific Reports, Organic & Biomolecular Chemistry, Tumor Biology and Cancer Medicine.

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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