Hyungju Park

5.2k citations
64 papers · 4.0k indexed · 1 hit paper · h-index 23
Topics
Neuroscience and Neuropharmacology Research (17 papers)Digital Filter Design and Implementation (10 papers)Neurogenesis and neuroplasticity mechanisms (6 papers)

In The Last Decade

Hyungju Park

58 papers receiving 3.9k citations

Hit Papers

Neurotrophin regulation of neural circuit development and...2012202620162021201250010001.5k

Peers

Hyungju Park
Comparison fields: 5 of 160
  • Cellular and Molecular Neuroscience 2.0k
  • Molecular Biology 1.2k
  • Neurology 712
  • Developmental Neuroscience 676
  • Cognitive Neuroscience 519
Replace Peter R. Mouton with:
Peter R. Mouton United States
Xiao‐Xin Yan China
Nora I. Perrone‐Bizzozero United States
Christoph Schmitz Germany
Mauro Cimino Italy
Garry Wong Finland
David Dupret United Kingdom
Will Spooren Switzerland
Germán Barrionuevo United States
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Hyungju Park relative to Peter R. Mouton United States Peter R. Mouton's profile →
Citations per field
00.5×1.6×
Peter R. Mouton · 1×
Citations per year

Countries citing papers authored by Hyungju Park

Since Specialization
Citations

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

Fields of papers citing papers by Hyungju Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyungju Park

This figure shows the co-authorship network connecting the top 25 collaborators of Hyungju Park. A scholar is included among the top collaborators of Hyungju Park 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 Hyungju Park. Hyungju Park 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 1
2 18
3 1
4 18
5 1
6 21
7 251
8 36
9 1
10 55
11 447
12 3
13 14
14 39
15
Proceedings of the 2009 international symposium on Symbolic and algebraic computation
18
16 91
17 10
18 95
19 22
20
Super Connectivity of Star Graphs, Alternating Group Graphs and Split-Stars.
53

About Hyungju Park

Hyungju Park is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Signal Processing, having authored 64 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Digital Filter Design and Implementation (10 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Developmental Neuroscience (676 citations), Cellular and Molecular Neuroscience (2.0k citations) and Biological Psychiatry (252 citations). Hyungju Park has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Mu‐ming Poo, C. Justin Lee, Nestor Michelena, Panos Y. Papalambros, Soo‐Jin Oh, Bo-Eun Yoon, Hyoeun Lee, George J Augustine, Soo-Jung Lee and Ken Berglund. Their work appears in journals such as Nature, Science and Cell.

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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