Eun‐Hye Hong

652 citations
33 papers · 520 indexed · h-index 13
Topics
Nanoplatforms for cancer theranostics (3 papers)Neuroscience and Neuropharmacology Research (3 papers)Immune Cell Function and Interaction (3 papers)
Journals
Journal of NeuroscienceSHILAP Revista de lepidopterologíaOncogene

In The Last Decade

Eun‐Hye Hong

29 papers receiving 510 citations

Peers

Eun‐Hye Hong
Comparison fields: 5 of 84
  • Molecular Biology 192
  • Immunology 147
  • Biomedical Engineering 75
  • Oncology 66
  • Biomaterials 63
Replace Jeffrey D. Konowalchuk with:
Jeffrey D. Konowalchuk Canada
Vânia Sousa Andrade Brazil
Meysam Soleimani Iran
Qiuling Liang China
Bingxin Xu China
Soonjae Hwang South Korea
Wenbin Zhao China
Sarah Fitzmaurice United States
Rui Han China
Puze Li China
Eun‐Hye Hong relative to Jeffrey D. Konowalchuk Canada Jeffrey D. Konowalchuk's profile →
Citations per field
00.5×1.5×
Jeffrey D. Konowalchuk · 1×
Citations per year

Countries citing papers authored by Eun‐Hye Hong

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Hye Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Hye Hong. 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 Eun‐Hye Hong. The network helps show where Eun‐Hye Hong may publish in the future.

Co-authorship network of co-authors of Eun‐Hye Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Hye Hong. A scholar is included among the top collaborators of Eun‐Hye Hong 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 Eun‐Hye Hong. Eun‐Hye Hong 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 0
2 0
3 6
4 2
5 7
6 5
7 4
8 4
9 19
10 15
11 2
12 22
13 8
14 31
15 42
16 18
17 48
18 4
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SURGICAL EXTRACTION OF MULTIPLE SUPERNUMERARY TEETH BY TWO-STAGE PROCEDURE
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About Eun‐Hye Hong

Eun‐Hye Hong is a scholar working on Immunology, Developmental Neuroscience and Plant Science, having authored 33 papers that have together received 520 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (147 citations), Biotechnology (42 citations) and Biomaterials (63 citations). Eun‐Hye Hong has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Hyun‐Jeong Ko, Sun‐Young Chang, Jae-Hyoung Song, Mi‐Na Kweon, Bora Lee, Song Yi Lee, Hyun‐Jong Cho, Jaewon Cho, Sang-Gu Yeo and Bo-Eun Kwon. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Oncogene.

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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