David Y. Chien

2.8k citations
10 papers · 2.1k indexed · 3 hit papers · h-index 7
Topics
Hepatitis C virus research (9 papers)Hepatitis B Virus Studies (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
Partner nations
United StatesJapanItaly

In The Last Decade

David Y. Chien

10 papers receiving 2.0k citations

Hit Papers

The Outcome of Acute Hepatitis C Predicted by the Evoluti...1999202620082017200019992003200400600

Peers

David Y. Chien
Comparison fields: 5 of 63
  • Hepatology 1.8k
  • Epidemiology 1.3k
  • Immunology 493
  • Virology 364
  • Radiology, Nuclear Medicine and Imaging 283
Replace Kathleen Mihalik with:
Kathleen Mihalik United States
Joe Kansopon United States
Yuko Ootsuyama Japan
Liam J. Fanning Ireland
Tai‐An Cha United States
Erick Giang United States
Giovanna Peddis Italy
Sadao Manabe Japan
H. Iizuka Japan
A. Cavalli Italy
David Y. Chien relative to Kathleen Mihalik United States Kathleen Mihalik's profile →
Citations per field
00.5×1.7×
Kathleen Mihalik · 1×
Citations per year

Countries citing papers authored by David Y. Chien

Since Specialization
Citations

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

Fields of papers citing papers by David Y. Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Y. 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 David Y. Chien. The network helps show where David Y. Chien may publish in the future.

Co-authorship network of co-authors of David Y. Chien

This figure shows the co-authorship network connecting the top 25 collaborators of David Y. Chien. A scholar is included among the top collaborators of David Y. 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 David Y. Chien. David Y. Chien is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 5
2
Memory CD8 + T Cells Are Required for Protection from Persistent Hepatitis C Virus Infectionbreakdown →
487
3 2
4
The Outcome of Acute Hepatitis C Predicted by the Evolution of the Viral Quasispeciesbreakdown →
699
5 16
6
Analysis of a Successful Immune Response against Hepatitis C Virusbreakdown →
658
7 16
8 6
9 116
10 101

About David Y. Chien

David Y. Chien is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 10 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (9 papers), Hepatitis B Virus Studies (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Hepatology (1.8k citations), Virology (364 citations) and Epidemiology (1.3k citations). David Y. Chien has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Michael Houghton, Christopher M. Walker, Amy J. Weiner, Joe Kansopon, Stewart Cooper, Erin J. Adams, Peter Parham, Ann L. Erickson, Keith A. Reimann and Naglaa H. Shoukry. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

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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