Sai‐Ching J. Yeung

12.3k citations
237 papers · 8.5k indexed · 1 hit paper · h-index 46
Topics
Cancer-related Molecular Pathways (24 papers)Metabolism, Diabetes, and Cancer (20 papers)Ubiquitin and proteasome pathways (18 papers)

In The Last Decade

Sai‐Ching J. Yeung

225 papers receiving 8.3k citations

Hit Papers

A signature of saliva-derived exosomal small RNAs as pred...202220262023202420224080120

Peers

Sai‐Ching J. Yeung
Comparison fields: 5 of 159
  • Molecular Biology 4.7k
  • Oncology 3.2k
  • Cancer Research 2.1k
  • Epidemiology 1.1k
  • Surgery 967
Replace Christoph Röcken with:
Christoph Röcken Germany
Luan D. Truong United States
Gaetano De Rosa Italy
Kurt Werner Schmid Germany
J. Joshua Smith United States
R. Daniel Beauchamp United States
Karl‐Walter Jauch Germany
Michèle Milella Italy
James L. Mulshine United States
Wolff Schmiegel Germany
Sai‐Ching J. Yeung relative to Christoph Röcken Germany Christoph Röcken's profile →
Citations per field
00.5×1.5×
Christoph Röcken · 1×
Citations per year

Countries citing papers authored by Sai‐Ching J. Yeung

Since Specialization
Citations

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

Fields of papers citing papers by Sai‐Ching J. Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sai‐Ching J. Yeung. 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 Sai‐Ching J. Yeung. The network helps show where Sai‐Ching J. Yeung may publish in the future.

Co-authorship network of co-authors of Sai‐Ching J. Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Sai‐Ching J. Yeung. A scholar is included among the top collaborators of Sai‐Ching J. Yeung 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 Sai‐Ching J. Yeung. Sai‐Ching J. Yeung 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
#WorkIndexed citations
1 1
2 1
3 0
4 6
5 8
6 17
7 119
8 5
9 19
10 3
11 43
12 79
13 15
14 9
15 187
16 34
17 70
18 245
19 42
20 50

About Sai‐Ching J. Yeung

Sai‐Ching J. Yeung is a scholar working on Oncology, Cancer Research and Internal Medicine, having authored 237 papers that have together received 8.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (24 papers), Metabolism, Diabetes, and Cancer (20 papers) and Ubiquitin and proteasome pathways (18 papers). The work is most often cited by research in Cancer Research (2.1k citations), Oncology (3.2k citations) and Molecular Biology (4.7k citations). Sai‐Ching J. Yeung has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Mong‐Hong Lee, Jingxuan Pan, Liem Phan, James L. Abbruzzese, Manal M. Hassan, Marina Konopleva, Donghui Li, Xuexin He, Lawrence Chan and Aiham Qdaisat. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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