Stephen T.C. Wong

25.8k total citations · 3 hit papers
493 papers, 16.9k citations indexed

About

Stephen T.C. Wong is a scholar working on Molecular Biology, Biophysics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stephen T.C. Wong has authored 493 papers receiving a total of 16.9k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Molecular Biology, 119 papers in Biophysics and 90 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stephen T.C. Wong's work include Cell Image Analysis Techniques (100 papers), Medical Image Segmentation Techniques (50 papers) and Image Processing Techniques and Applications (44 papers). Stephen T.C. Wong is often cited by papers focused on Cell Image Analysis Techniques (100 papers), Medical Image Segmentation Techniques (50 papers) and Image Processing Techniques and Applications (44 papers). Stephen T.C. Wong collaborates with scholars based in United States, China and Hong Kong. Stephen T.C. Wong's co-authors include Xiaobo Zhou, Fuhai Li, Guangxu Jin, Maria H. Chahrour, Jun Qin, Xiaobo Zhou, Huda Y. Zoghbi, Sung Yun Jung, Chad A. Shaw and Jianting Sheng and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Stephen T.C. Wong

481 papers receiving 16.5k citations

Hit Papers

Epithelial-to-mesenchymal transition is not required ... 2008 2026 2014 2020 2015 2008 2015 400 800 1.2k

Peers

Stephen T.C. Wong
Comparison fields: 5 of 210
  • Molecular Biology 6.8k
  • Oncology 2.9k
  • Biophysics 2.1k
  • Cancer Research 1.8k
  • Radiology, Nuclear Medicine and Imaging 1.7k
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Citations per field, relative to Stephen T.C. Wong
Stephen T.C. Wong · 1×
Citations per year, relative to Stephen T.C. Wong
Stephen T.C. Wong · 1×

Countries citing papers authored by Stephen T.C. Wong

Since Specialization
Citations

This map shows the geographic impact of Stephen T.C. Wong'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 Stephen T.C. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen T.C. Wong more than expected).

Fields of papers citing papers by Stephen T.C. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen T.C. Wong. 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 Stephen T.C. Wong. The network helps show where Stephen T.C. Wong may publish in the future.

Co-authorship network of co-authors of Stephen T.C. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen T.C. Wong. A scholar is included among the top collaborators of Stephen T.C. Wong 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 Stephen T.C. Wong. Stephen T.C. Wong 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 1
3 5
4 21
5 2
6 7
7 1
8 19
9 48
10 74
11 31
12 63
13 65
14 75
15 28
16 61
17 25
18 29
19
MeCP2, a Key Contributor to Neurological Disease, Activates and Represses Transcription breakdown →
1372
20 161

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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