Song Hee Lee

1.2k total citations
47 papers, 964 citations indexed

About

Song Hee Lee is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Song Hee Lee has authored 47 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Neurology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Song Hee Lee's work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Neurological Disorders and Treatments (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Song Hee Lee is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Neurological Disorders and Treatments (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). Song Hee Lee collaborates with scholars based in South Korea, United States and Canada. Song Hee Lee's co-authors include Bo Young Choi, Sang Won Suh, A Ra Kho, Hui Chul Choi, Dae Ki Hong, Jeong Hyun Jeong, Hong Ki Song, Min Sohn, Robert F. Kalejta and Sang‐Kyu Ye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Scientific Reports.

In The Last Decade

Song Hee Lee

44 papers receiving 952 citations

Peers

Song Hee Lee
Comparison fields: 5 of 110
  • Molecular Biology 330
  • Neurology 172
  • Immunology 170
  • Epidemiology 146
  • Physiology 124
Replace Lichao Yang with:
Lichao Yang China
Won‐Ki Kim South Korea
Alessia Filippone Italy
Simona Damiano Italy
Chen-Yu Wang Taiwan
Won Gil Cho South Korea
Sonja Zafirović Serbia
Ju‐Sik Min South Korea
Michele Madonna Italy
Yuh‐Fung Chen Taiwan
Lichao Yang China View profile →
Citations per field, relative to Song Hee Lee
Song Hee Lee · 1×
Citations per year, relative to Song Hee Lee
Song Hee Lee · 1×

Countries citing papers authored by Song Hee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Song Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Hee Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Song Hee Lee. A scholar is included among the top collaborators of Song Hee Lee 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 Song Hee Lee. Song Hee Lee 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 23
2 5
3 18
4 7
5 25
6 9
7 31
8 8
9 17
10 20
11 0
12 18
13 2
14 30
15 3
16 17
17 17
18 64
19 12
20 11

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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