Yueh‐hsiu Chien

11.0k citations
78 papers · 8.7k indexed · 3 hit papers · h-index 46
Topics
T-cell and B-cell Immunology (53 papers)Immune Cell Function and Interaction (47 papers)Monoclonal and Polyclonal Antibodies Research (21 papers)
Partner nations
United StatesFranceJapan

In The Last Decade

Yueh‐hsiu Chien

77 papers receiving 8.4k citations

Hit Papers

LIGAND RECOGNITION BY αβ T CELL RECEPTORS1990202620022014199819902014250500750

Peers

Yueh‐hsiu Chien
Comparison fields: 5 of 138
  • Immunology 6.5k
  • Molecular Biology 1.9k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Oncology 1.5k
  • Genetics 704
Replace Richard Dutton with:
Richard Dutton United States
Andrew M. Lew Australia
David H. Margulies United States
Nicholas R. J. Gascoigne United States
Ian C. M. MacLennan United Kingdom
John E. Coligan United States
Ronald H. Schwartz United States
Jacques Urbain Belgium
Philip D. Hodgkin Australia
Jean‐Charles Cerottini Switzerland
Yueh‐hsiu Chien relative to Richard Dutton United States Richard Dutton's profile →
Citations per field
00.5×3.0×
Richard Dutton · 1×
Citations per year

Countries citing papers authored by Yueh‐hsiu Chien

Since Specialization
Citations

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

Fields of papers citing papers by Yueh‐hsiu Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yueh‐hsiu Chien. 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 Yueh‐hsiu Chien. The network helps show where Yueh‐hsiu Chien may publish in the future.

Co-authorship network of co-authors of Yueh‐hsiu Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Yueh‐hsiu Chien. A scholar is included among the top collaborators of Yueh‐hsiu Chien 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 Yueh‐hsiu Chien. Yueh‐hsiu Chien 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 12
2 29
3 78
4 108
5 23
6 16
7 21
8 111
9 45
10 55
11 9
12 32
13 77
14 102
15 50
16 372
17 21
18 5
19 279
20 29

About Yueh‐hsiu Chien

Yueh‐hsiu Chien is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 78 papers that have together received 8.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (53 papers), Immune Cell Function and Interaction (47 papers) and Monoclonal and Polyclonal Antibodies Research (21 papers). The work is most often cited by research in Immunology (6.5k citations), Radiology, Nuclear Medicine and Imaging (1.5k citations) and Oncology (1.5k citations). Yueh‐hsiu Chien has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Mark M. Davis, Johannes Hampl, Joshua Kavaler, Daniel S. Lyons, J. Jay Boniface, Marc Bonneville, Nicholas R. J. Gascoigne, Christina Meyer, Ziv Reich and Daniel M. Becker. Their work appears in journals such as Nature, Science and Cell.

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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