Han Sol Song

453 total citations
18 papers, 344 citations indexed

About

Han Sol Song is a scholar working on Physiology, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Han Sol Song has authored 18 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Molecular Biology and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Han Sol Song's work include Adipose Tissue and Metabolism (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Health and Wellbeing Research (2 papers). Han Sol Song is often cited by papers focused on Adipose Tissue and Metabolism (3 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Health and Wellbeing Research (2 papers). Han Sol Song collaborates with scholars based in South Korea, United States and China. Han Sol Song's co-authors include Wook Song, Dong Hyun Yoon, Jin‐Soo Kim, Dongheon Kang, Casey K. Lee, Se Il Suk, Yuan Gao, Sung‐Man Bae, Miao Gong and Qingjun Guo and has published in prestigious journals such as Scientific Reports, Chemosphere and Spine.

In The Last Decade

Han Sol Song

17 papers receiving 335 citations

Peers

Han Sol Song
Comparison fields: 5 of 89
  • Physiology 78
  • Psychiatry and Mental health 66
  • Molecular Biology 60
  • Rehabilitation 45
  • Health, Toxicology and Mutagenesis 43
Replace Anna Pedrinolla with:
Anna Pedrinolla Italy
Ettore Muti Italy
Tuğçe Demirtaş Şahin Türkiye
Aitor Carretero Spain
Adrián De la Rosa Spain
Nanna Aue Sobol Denmark
Rakib U. Rayhan United States
Coralie Arc‐Chagnaud Spain
Jana Janoutová Czechia
Ángela G. Correas Spain
Anna Pedrinolla Italy View profile →
Citations per field, relative to Han Sol Song
Han Sol Song · 1×
Citations per year, relative to Han Sol Song
Han Sol Song · 1×

Countries citing papers authored by Han Sol Song

Since Specialization
Citations

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

Fields of papers citing papers by Han Sol Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han Sol 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 Han Sol Song. The network helps show where Han Sol Song may publish in the future.

Co-authorship network of co-authors of Han Sol Song

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 8
2 8
3 11
4 15
5 13
6 43
7 15
8 22
9 2
10 123
11 21
12 0
13 12
14 2
15 12
16 2
17 3
18 32

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026