Hye‐Yeon Hwang

1.4k total citations
40 papers, 1.1k citations indexed

About

Hye‐Yeon Hwang is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Hye‐Yeon Hwang has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Plant Science. Recurrent topics in Hye‐Yeon Hwang's work include CRISPR and Genetic Engineering (4 papers), Enzyme Structure and Function (4 papers) and RNA regulation and disease (4 papers). Hye‐Yeon Hwang is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Enzyme Structure and Function (4 papers) and RNA regulation and disease (4 papers). Hye‐Yeon Hwang collaborates with scholars based in South Korea, United States and Sweden. Hye‐Yeon Hwang's co-authors include Kyeong Kyu Kim, Sung Chul Ha, Jongkeun Choi, Barry Shane, Yang‐Gyun Kim, Alexander Rich, Mei‐Lan Liu, Sam Li‐Sheng Chen, Julie R. Korenberg and Doyoun Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hye‐Yeon Hwang

36 papers receiving 1.0k citations

Peers

Hye‐Yeon Hwang
Comparison fields: 5 of 102
  • Molecular Biology 709
  • Rheumatology 222
  • Genetics 194
  • Immunology 90
  • Clinical Biochemistry 89
Replace Christian Brix Folsted Andersen with:
Christian Brix Folsted Andersen Denmark
Floyd F. Snyder Canada
S. Melançon Canada
Gennadiy Kovtunovych United States
Oliver Vugrek Croatia
Reiko Iida Japan
Geen‐Dong Chang Taiwan
Priyanka Sharma India
Edwin A. Azen United States
A. Jung Germany
Christian Brix Folsted Andersen Denmark View profile →
Citations per field, relative to Hye‐Yeon Hwang
Hye‐Yeon Hwang · 1×
Citations per year, relative to Hye‐Yeon Hwang
Hye‐Yeon Hwang · 1×

Countries citing papers authored by Hye‐Yeon Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Hye‐Yeon Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hye‐Yeon Hwang. 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 Hye‐Yeon Hwang. The network helps show where Hye‐Yeon Hwang may publish in the future.

Co-authorship network of co-authors of Hye‐Yeon Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Hye‐Yeon Hwang. A scholar is included among the top collaborators of Hye‐Yeon Hwang 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 Hye‐Yeon Hwang. Hye‐Yeon Hwang 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
# Work Indexed citations
1 0
2 5
3 44
4 31
5 33
6 27
7 9
8 2
9 17
10 8
11 19
12 21
13 37
14 15
15 109
16
QTL analysis for eating quality in japonica rice.
3
17 26
18
High-Level Expression of Recombinant Human Interleukin-2 in Chinese Hamster Ovary Cells Using the Expression System Containing Transcription Terminator
6
19 44
20 4

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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