Yu-Chung Yang

1.9k citations
21 papers · 1.6k indexed · 1 hit paper · h-index 18
Topics
Cytokine Signaling Pathways and Interactions (7 papers)Cancer, Hypoxia, and Metabolism (6 papers)Congenital heart defects research (3 papers)

In The Last Decade

Yu-Chung Yang

21 papers receiving 1.6k citations

Hit Papers

Human IL-3 (multi-CSF): Identification by expression clon...19862026199920121986200400600

Peers

Yu-Chung Yang
Comparison fields: 5 of 84
  • Molecular Biology 860
  • Immunology 488
  • Oncology 320
  • Hematology 316
  • Cancer Research 225
Replace Lisa J. McReynolds with:
Lisa J. McReynolds United States
Giovanni Morrone Italy
Hong Sai United States
Carolyn A. de Graaf Australia
Giuliana Papoff Italy
Kirsten A. Fairfax Australia
Kathleen Tomkinson United States
Sazuku Nisitani Japan
Karen Clise-Dwyer United States
Teresita Díaz de Ståhl Sweden
Yu-Chung Yang relative to Lisa J. McReynolds United States Lisa J. McReynolds's profile →
Citations per field
00.5×1.5×2.1×
Lisa J. McReynolds · 1×
Citations per year

Countries citing papers authored by Yu-Chung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Chung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu-Chung Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Chung Yang. A scholar is included among the top collaborators of Yu-Chung Yang 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-Chung Yang. Yu-Chung Yang 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 16
2 16
3 20
4 23
5 48
6 18
7 43
8 65
9 48
10 91
11 165
12 24
13 25
14 4
15 64
16 90
17 28
18 52
19 24
20 54

About Yu-Chung Yang

Yu-Chung Yang is a scholar working on Cancer Research, Immunology and Hematology, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (7 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Congenital heart defects research (3 papers). The work is most often cited by research in Hematology (316 citations), Immunology (488 citations) and Cancer Research (225 citations). Yu-Chung Yang has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Robert E. Donahue, A. Ciarletta, J Witek-Giannotti, Steven C. Clark, Patricia A. Temple, Gordon Wong, Sharlotte Kovacic, D Führer, Hui Sun and Michiko Watanabe. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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