Hyeon S. Son

813 total citations
53 papers, 617 citations indexed

About

Hyeon S. Son is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Hyeon S. Son has authored 53 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 12 papers in Epidemiology and 7 papers in Infectious Diseases. Recurrent topics in Hyeon S. Son's work include RNA and protein synthesis mechanisms (13 papers), Influenza Virus Research Studies (11 papers) and Lipid Membrane Structure and Behavior (8 papers). Hyeon S. Son is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), Influenza Virus Research Studies (11 papers) and Lipid Membrane Structure and Behavior (8 papers). Hyeon S. Son collaborates with scholars based in South Korea, United Kingdom and United States. Hyeon S. Son's co-authors include Mark S.P. Sansom, Ian D. Kerr, Insung Ahn, Graham R. Smith, J. Breed, Philip C. Biggin, Ramasubbu Sankararamakrishnan, Hayeon Kim, Kwang S. Kim and Youngmee Bae and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Hyeon S. Son

51 papers receiving 601 citations

Peers

Hyeon S. Son
Comparison fields: 5 of 102
  • Molecular Biology 395
  • Epidemiology 94
  • Spectroscopy 78
  • Atomic and Molecular Physics, and Optics 69
  • Materials Chemistry 68
M. Lucia Bianconi Brazil
Yves‐Marie Coïc France
Ilan Samish Israel
Gabriel E. Wagner Austria
D. Amorós Spain
C. Keith Cassidy United Kingdom
Mingguang Li United States
Jerzy Czaplicki France
Hui Guo China
М. А. Ходорковский Russia
M. Lucia Bianconi Brazil View profile →
Citations per field, relative to Hyeon S. Son
Hyeon S. Son · 1×
Citations per year, relative to Hyeon S. Son
Hyeon S. Son · 1×

Countries citing papers authored by Hyeon S. Son

Since Specialization
Citations

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

Fields of papers citing papers by Hyeon S. Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyeon S. Son. 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 Hyeon S. Son. The network helps show where Hyeon S. Son may publish in the future.

Co-authorship network of co-authors of Hyeon S. Son

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeon S. Son. A scholar is included among the top collaborators of Hyeon S. Son 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 Hyeon S. Son. Hyeon S. Son 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 1
2 3
3 4
4 5
5
Data-processing pipeline and database design for integrated analysis of mycoviruses
1
6 0
7 8
8 12
9
A Visualization Tool for Calculating the Genetic Substitution Patterns Between Two Different Groups
1
10 5
11 6
12 9
13 10
14 3
15 6
16 4
17 6
18 6
19 124
20
Functional properties of modified low density lipoprotein and degradation of modified LDL by human monocyte-macrophages
0

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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