Hee‐Jung Choi

13.2k citations
96 papers · 10.4k indexed · 6 hit papers · h-index 30
Topics
Wnt/β-catenin signaling in development and cancer (18 papers)Receptor Mechanisms and Signaling (16 papers)Neuropeptides and Animal Physiology (10 papers)

In The Last Decade

Hee‐Jung Choi

91 papers receiving 10.2k citations

Hit Papers

High-Resolution Crystal Structure of an Engineered Human ...20072026201320192007200720112007201150010001.5k2.0k2.5k

Peers

Hee‐Jung Choi
Comparison fields: 5 of 140
  • Molecular Biology 9.2k
  • Cellular and Molecular Neuroscience 4.2k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Computational Theory and Mathematics 944
  • Cell Biology 770
Replace Els Pardon with:
Els Pardon Belgium
Patricia C. Edwards United Kingdom
David E. Gloriam Denmark
Jonathan D. Violin United States
Michael A. Hanson United States
Asuka Inoue Japan
Daniel H. Arlow United States
Søren G. F. Rasmussen United States
Christopher G. Tate United Kingdom
Sławomir Filipek Poland
Hee‐Jung Choi relative to Els Pardon Belgium Els Pardon's profile →
Citations per field
00.5×1.5×
Els Pardon · 1×
Citations per year

Countries citing papers authored by Hee‐Jung Choi

Since Specialization
Citations

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

Fields of papers citing papers by Hee‐Jung Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee‐Jung Choi. 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 Hee‐Jung Choi. The network helps show where Hee‐Jung Choi may publish in the future.

Co-authorship network of co-authors of Hee‐Jung Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Hee‐Jung Choi. A scholar is included among the top collaborators of Hee‐Jung Choi 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 Hee‐Jung Choi. Hee‐Jung Choi 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 0
2 2
3 2
4 2
5 22
6 14
7 11
8 40
9 15
10 30
11 61
12 17
13 69
14
Structure of a nanobody-stabilized active state of the β2 adrenoceptorbreakdown →
1337
15 158
16 71
17
High-Resolution Crystal Structure of an Engineered Human β 2 -Adrenergic G Protein–Coupled Receptorbreakdown →
2663
18
GPCR Engineering Yields High-Resolution Structural Insights into β 2 -Adrenergic Receptor Functionbreakdown →
1112
19 22
20 104

About Hee‐Jung Choi

Hee‐Jung Choi is a scholar working on Aging, Molecular Biology and Cellular and Molecular Neuroscience, having authored 96 papers that have together received 10.4k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (18 papers), Receptor Mechanisms and Signaling (16 papers) and Neuropeptides and Animal Physiology (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.2k citations), Molecular Biology (9.2k citations) and Radiology, Nuclear Medicine and Imaging (1.5k citations). Hee‐Jung Choi has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include William I. Weis, Brian K. Kobilka, Søren G. F. Rasmussen, Daniel M. Rosenbaum, Tong Sun Kobilka, Foon Sun Thian, Raymond C. Stevens, Vadim Cherezov, Michael A. Hanson and Peter Kühn. 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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