Daniel J. Chin

5.9k citations
55 papers · 5.1k indexed · 4 hit papers · h-index 30

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • Plant biochemistry and biosynthesis
    • Protein Kinase Regulation and GTPase Signaling
    • RNA and protein synthesis mechanisms
    • Metabolism, Diabetes, and Cancer
    • RNA Research and Splicing

Papers in

Daniel J. Chin

54 papers receiving 4.9k citations

Hit Papers

Phosphatidylinositol 3′-kinase is activated by association with IRS-1 during insulin stimulation. 1992 · 891 citations
8911982202619962011250500750

Peers

Daniel J. Chin
Comparison fields: 5 of 114
  • Virology 464
  • Molecular Biology 3.6k
  • Cell Biology 719
  • Hepatology 231
  • Biochemistry 207
Replace Honglin Zhou with:
Honglin Zhou China
Markus Loeffler Germany
James E. Strickler United States
Flavio Meggio Italy
Hubert Hug Germany
Christopher M. Sanderson United Kingdom
Michael J. Clemens United Kingdom
Kenton H. Zavitz United States
Lawrence R. Dick United States
Paul Jenoe Switzerland
Daniel J. Chin relative to Honglin Zhou China Honglin Zhou's profile →
Citations per field
00.5×1.5×2.1×
Honglin Zhou · 1×
Citations per year

Countries citing papers authored by Daniel J. Chin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Chin. 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 Daniel J. Chin. The network helps show where Daniel J. Chin may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel J. Chin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel J. Chin Line = papers co-authored together Daniel J. Chin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20231
5 201536
6 201416
7 201362
8 201278
9 201239
10 200657
11 20057
12 200578
13 2004115
14 2003100
15 2001132
16 1997140
17 199614
18 19965
19 199491
20 1983174

About Daniel J. Chin

Daniel J. Chin is a scholar working on Hepatology, Virology, Molecular Biology, Immunology and Biotechnology, having authored 55 papers that have together received 5.1k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Plant biochemistry and biosynthesis (8 papers), RNA Interference and Gene Delivery (7 papers), Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (7 papers), HIV Research and Treatment (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Virology (464 citations), Molecular Biology (3.6k citations), Cell Biology (719 citations), Hepatology (231 citations) and Biochemistry (207 citations). Daniel J. Chin has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Joseph L. Goldstein, K L Luskey, Michael S. Brown, Gregorio Gil, J R Faust, Didier Trono, Thomas J. Hope, Xiao‐Jian Sun, Jonathan Backer and Martin G. Myers. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Journal of Biological Chemistry, Journal of Virology and Journal of Investigative Dermatology.

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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