Jihwan Song

3.5k citations
76 papers · 2.4k indexed · h-index 29
Topics
Pluripotent Stem Cells Research (27 papers)Neurogenesis and neuroplasticity mechanisms (13 papers)Genetic Neurodegenerative Diseases (12 papers)

In The Last Decade

Jihwan Song

74 papers receiving 2.3k citations

Peers

Jihwan Song
Comparison fields: 5 of 126
  • Molecular Biology 1.7k
  • Cellular and Molecular Neuroscience 551
  • Developmental Neuroscience 288
  • Genetics 262
  • Biomedical Engineering 213
Replace Bruce L. Patton with:
Bruce L. Patton United States
Daisuke Doi Japan
George Zanazzi United States
Susan Kenwrick United Kingdom
Marisa Karow Germany
Philip H. Schwartz United States
Stephan Kröger Germany
Gregory J. Cole United States
Sofia Zdunek Sweden
Reginald E. Bittner Austria
Jihwan Song relative to Bruce L. Patton United States Bruce L. Patton's profile →
Citations per field
00.5×1.5×2.2×
Bruce L. Patton · 1×
Citations per year

Countries citing papers authored by Jihwan Song

Since Specialization
Citations

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

Fields of papers citing papers by Jihwan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jihwan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jihwan Song. A scholar is included among the top collaborators of Jihwan 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 Jihwan Song. Jihwan Song 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
#WorkIndexed citations
1 2
2 16
3 18
4 1
5 22
6 21
7 1
8 79
9 34
10 6
11 10
12 16
13 17
14
Differentiation of GABAergic Neurons from Human Embryonic Stem Cells
2
15 58
16
Neuronal Differentiation of Human ES Cells by Co-Culturing with PA6 Stromal Cells
1
17 10
18 40
19 161
20 53

About Jihwan Song

Jihwan Song is a scholar working on Developmental Neuroscience, Modeling and Simulation and Cellular and Molecular Neuroscience, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (27 papers), Neurogenesis and neuroplasticity mechanisms (13 papers) and Genetic Neurodegenerative Diseases (12 papers). The work is most often cited by research in Developmental Neuroscience (288 citations), Cellular and Molecular Neuroscience (551 citations) and Genetics (262 citations). Jihwan Song has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Iksoo Jeon, Seung-Hun Oh, Dong Ah Shin, En Li, Hong Lei, Hyun Sook Kim, Chunggab Choi, Kwan Soo Hong, Dongchoul Kim and Nayeon Lee. Their work appears in journals such as Genes & Development, Nano Letters and Journal of Applied Physics.

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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