Kwang‐Hoon Song

942 total citations
11 papers, 761 citations indexed

About

Kwang‐Hoon Song is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Kwang‐Hoon Song has authored 11 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Kwang‐Hoon Song's work include Estrogen and related hormone effects (4 papers), Nuclear Receptors and Signaling (4 papers) and RNA Interference and Gene Delivery (3 papers). Kwang‐Hoon Song is often cited by papers focused on Estrogen and related hormone effects (4 papers), Nuclear Receptors and Signaling (4 papers) and RNA Interference and Gene Delivery (3 papers). Kwang‐Hoon Song collaborates with scholars based in South Korea, United States and Switzerland. Kwang‐Hoon Song's co-authors include John Y.L. Chiang, Tiangang Li, Erika Owsley, Stephen C. Strom, Keesook Lee, Hueng‐Sik Choi, Hueng-Sik Choi, Jae-Il Park, Ki Cheol Park and Jaemog Soh and has published in prestigious journals such as Hepatology, Biochemical and Biophysical Research Communications and Endocrinology.

In The Last Decade

Kwang‐Hoon Song

11 papers receiving 746 citations

Peers

Kwang‐Hoon Song
Comparison fields: 5 of 69
  • Molecular Biology 311
  • Oncology 240
  • Surgery 219
  • Epidemiology 171
  • Genetics 143
Replace KehDih Lai with:
KehDih Lai Canada
Annemieke IJpenberg Switzerland
Céline Gheeraert France
Quan Shang United States
Ambrosio Hernandez United States
Hadrien Demagny Switzerland
Young-Sil Yoon South Korea
Sangwon Byun United States
James R. Wisner United States
So‐Youn Kim United States
KehDih Lai Canada View profile →
Citations per field, relative to Kwang‐Hoon Song
Kwang‐Hoon Song · 1×
Citations per year, relative to Kwang‐Hoon Song
Kwang‐Hoon Song · 1×

Countries citing papers authored by Kwang‐Hoon Song

Since Specialization
Citations

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

Fields of papers citing papers by Kwang‐Hoon Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwang‐Hoon Song. 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 Kwang‐Hoon Song. The network helps show where Kwang‐Hoon Song may publish in the future.

Co-authorship network of co-authors of Kwang‐Hoon Song

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 66
2 331
3 58
4 78
5 25
6 37
7 5
8 10
9 3
10 58
11 90

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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2026