Yu-Chieh Wang

4.5k citations
48 papers · 2.7k indexed · 1 hit paper · h-index 22
Topics
CRISPR and Genetic Engineering (6 papers)Pluripotent Stem Cells Research (6 papers)Pancreatic function and diabetes (4 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Yu-Chieh Wang

45 papers receiving 2.7k citations

Hit Papers

Full-length mRNA-Seq from single-cell levels of RNA and i...201220262016202120122505007501000

Peers

Yu-Chieh Wang
Comparison fields: 5 of 147
  • Molecular Biology 2.0k
  • Cancer Research 589
  • Oncology 431
  • Immunology 279
  • Biomedical Engineering 219
Replace Angela Oliveira Pisco with:
Angela Oliveira Pisco United States
Hariharan Easwaran United States
Margit Rosner Austria
Lisa Oliver France
Lorenzo Montanaro Italy
Xiangwei Gao China
Ekrem Emrah Er United States
Francesco Ferrari Italy
Jens Rauch Ireland
Yu-Chieh Wang relative to Angela Oliveira Pisco United States Angela Oliveira Pisco's profile →
Citations per field
00.5×1.5×2.3×
Angela Oliveira Pisco · 1×
Citations per year

Countries citing papers authored by Yu-Chieh Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Chieh Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu-Chieh Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Chieh Wang. A scholar is included among the top collaborators of Yu-Chieh 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 Yu-Chieh Wang. Yu-Chieh 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
#WorkIndexed citations
1 1
2 1
3 19
4 43
5 11
6 7
7 18
8 50
9 4
10 40
11 273
12
Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cellsbreakdown →
1174
13 137
14
A novel multi-task support vector sample learning technique to predict classification of cancer
1
15 51
16 52
17 82
18 66
19 36
20 14

About Yu-Chieh Wang

Yu-Chieh Wang is a scholar working on Cancer Research, Molecular Biology and Geriatrics and Gerontology, having authored 48 papers that have together received 2.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (6 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Cancer Research (589 citations), Molecular Biology (2.0k citations) and Biophysics (106 citations). Yu-Chieh Wang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Jeanne F. Loring, Louise C. Laurent, Suzanne E. Peterson, Gary P. Schroth, Qiaolin Deng, Irina Khrebtukova, Shujun Luo, Robin Li, Gregory A. Daniels and Daniel Ramsköld. Their work appears in journals such as Journal of Clinical Oncology, Nature Biotechnology and PLoS ONE.

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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