Yeonsun Hong

2.4k total citations · 1 hit paper
31 papers, 2.0k citations indexed

About

Yeonsun Hong is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Yeonsun Hong has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Immunology and 6 papers in Oncology. Recurrent topics in Yeonsun Hong's work include Extracellular vesicles in disease (12 papers), RNA Interference and Gene Delivery (8 papers) and Immunotherapy and Immune Responses (8 papers). Yeonsun Hong is often cited by papers focused on Extracellular vesicles in disease (12 papers), RNA Interference and Gene Delivery (8 papers) and Immunotherapy and Immune Responses (8 papers). Yeonsun Hong collaborates with scholars based in South Korea, United States and Japan. Yeonsun Hong's co-authors include Yoosoo Yang, In‐San Kim, Gi‐Hoon Nam, Eunji Cho, Gi Beom Kim, Mihue Jang, Seung Min Kim, Minkoo Seo, Seung Ja Oh and Eun Jung Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Yeonsun Hong

30 papers receiving 2.0k citations

Hit Papers

Cancer-derived exosomes as a delivery platform of CRISPR/... 2017 2026 2020 2023 2017 100 200 300

Peers

Yeonsun Hong
Comparison fields: 5 of 101
  • Molecular Biology 1.5k
  • Cancer Research 700
  • Immunology 472
  • Biomedical Engineering 426
  • Oncology 210
Gi‐Hoon Nam South Korea
Hongwei Chen United States
Gi Beom Kim South Korea
Serena Marchiò Italy
Pengcheng Bu China
Klaus Charissé United States
Ern Yu Tan Singapore
Shanshan Wang China
Bo Hu China
Gi‐Hoon Nam South Korea View profile →
Citations per field, relative to Yeonsun Hong
Yeonsun Hong · 1×
Citations per year, relative to Yeonsun Hong
Yeonsun Hong · 1×

Countries citing papers authored by Yeonsun Hong

Since Specialization
Citations

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

Fields of papers citing papers by Yeonsun Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeonsun Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Yeonsun Hong. A scholar is included among the top collaborators of Yeonsun 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 Yeonsun Hong. Yeonsun 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
# Work Indexed citations
1 2
2 12
3 0
4 6
5 42
6 51
7 4
8 27
9 55
10 82
11 21
12 92
13 97
14 311
15 40
16
Cancer-derived exosomes as a delivery platform of CRISPR/Cas9 confer cancer cell tropism-dependent targeting breakdown →
390
17 12
18 11
19
A note on the development of Tribolium castaneum (Coleoptera: Tenebrionidae) on brown rice, Oryza sativa L.
2
20 29

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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2026