Chaejeong Heo

1.4k citations
32 papers · 1.1k indexed · h-index 16
Topics
Neuroscience and Neural Engineering (8 papers)Photoreceptor and optogenetics research (4 papers)Graphene and Nanomaterials Applications (4 papers)

In The Last Decade

Chaejeong Heo

32 papers receiving 1.1k citations

Peers

Chaejeong Heo
Comparison fields: 5 of 97
  • Biomedical Engineering 383
  • Cellular and Molecular Neuroscience 288
  • Electrical and Electronic Engineering 276
  • Molecular Biology 224
  • Materials Chemistry 195
Replace Jeong Won Park with:
Jeong Won Park South Korea
Chien‐Yuan Pan Taiwan
Jong‐Pil Kim South Korea
Gabriel A. Silva United States
Erkin Şeker United States
Tarun Saxena United States
Peter Heiduschka Germany
Andrea Jaquins‐Gerstl United States
Edward W. Keefer United States
Yevgeny Berdichevsky United States
Chaejeong Heo relative to Jeong Won Park South Korea Jeong Won Park's profile →
Citations per field
00.5×1.5×
Jeong Won Park · 1×
Citations per year

Countries citing papers authored by Chaejeong Heo

Since Specialization
Citations

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

Fields of papers citing papers by Chaejeong Heo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaejeong Heo

This figure shows the co-authorship network connecting the top 25 collaborators of Chaejeong Heo. A scholar is included among the top collaborators of Chaejeong Heo 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 Chaejeong Heo. Chaejeong Heo 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 46
2 9
3 1
4 20
5 8
6 81
7 96
8 20
9 263
10 1
11 14
12 9
13 11
14 2
15 4
16 15
17 181
18 34
19 69
20 34

About Chaejeong Heo

Chaejeong Heo is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Biophysics, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (8 papers), Photoreceptor and optogenetics research (4 papers) and Graphene and Nanomaterials Applications (4 papers). The work is most often cited by research in Developmental Neuroscience (71 citations), Electrochemistry (103 citations) and Cellular and Molecular Neuroscience (288 citations). Chaejeong Heo has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Minah Suh, Young Hee Lee, Areum Jo, Young‐Hee Lee, Eungseok Oh, Siyoung Lee, Yong‐Tae Kim, Yoo‐Hun Suh, Fethullah Güneş and Lichun Liu. Their work appears in journals such as Nature Communications, Nano Letters and ACS Nano.

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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