Min Song

707 total citations
17 papers, 329 citations indexed

About

Min Song is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Min Song has authored 17 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 8 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Min Song's work include Neural dynamics and brain function (6 papers), Retinal Development and Disorders (6 papers) and Visual perception and processing mechanisms (4 papers). Min Song is often cited by papers focused on Neural dynamics and brain function (6 papers), Retinal Development and Disorders (6 papers) and Visual perception and processing mechanisms (4 papers). Min Song collaborates with scholars based in South Korea, United States and Germany. Min Song's co-authors include Se‐Bum Paik, Jaeson Jang, Joseph Caprioli, Jacky M. K. Kwong, Natik Piri, Min Whan Jung, David Elashoff, Jung Hwan Shin, Xiaoxia Zhao and Donghao Luo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Min Song

17 papers receiving 325 citations

Peers

Min Song
Comparison fields: 5 of 79
  • Cognitive Neuroscience 134
  • Molecular Biology 120
  • Cellular and Molecular Neuroscience 61
  • Ophthalmology 50
  • Computer Vision and Pattern Recognition 37
Replace Wolfgang Mader with:
Wolfgang Mader Germany
Kathy Zhang United States
Jaeson Jang South Korea
Falko R. Kaule Germany
Brian S. Oommen United States
Kimberly Meier Canada
Kyoungmin Lee South Korea
Bryson Payne United States
Benjamin Torben-Nielsen Japan
BA Wandell United States
Wolfgang Mader Germany View profile →
Citations per field, relative to Min Song
Min Song · 1×
Citations per year, relative to Min Song
Min Song · 1×

Countries citing papers authored by Min Song

Since Specialization
Citations

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

Fields of papers citing papers by Min Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Song

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 4
2 8
3 45
4 36
5 25
6 20
7 30
8 13
9 10
10 7
11 3
12 5
13 61
14 6
15 21
16
Gene expression changes in the retina following optic nerve transection.
30
17
Growing Global: A Corporate Vision Masterclass
5

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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