Yeongjin Hong

4.7k citations
78 papers · 3.6k indexed · 2 hit papers · h-index 34
Topics
Cancer Research and Treatments (27 papers)Nanoplatforms for cancer theranostics (21 papers)Virus-based gene therapy research (19 papers)

In The Last Decade

Yeongjin Hong

78 papers receiving 3.6k citations

Hit Papers

Two-step enhanced cancer immunotherapy with engineered Sa...201720262020202320172024100200300400

Peers

Yeongjin Hong
Comparison fields: 5 of 109
  • Biotechnology 1.8k
  • Biomedical Engineering 1.6k
  • Molecular Biology 1.2k
  • Genetics 893
  • Ecology 522
Replace Mark Tangney with:
Mark Tangney Ireland
Michael Hust Germany
Anna Sokolovska United States
Jochen Stritzker Germany
Neus Ferrer‐Miralles Spain
Katja Conrath Belgium
Jonathan Hardy United States
Loreé C. Heller United States
James W. Jacobson United States
C. Roger MacKenzie Canada
Yeongjin Hong relative to Mark Tangney Ireland Mark Tangney's profile →
Citations per field
00.5×1.5×1.9×
Mark Tangney · 1×
Citations per year

Countries citing papers authored by Yeongjin Hong

Since Specialization
Citations

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

Fields of papers citing papers by Yeongjin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeongjin Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Yeongjin Hong. A scholar is included among the top collaborators of Yeongjin 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 Yeongjin Hong. Yeongjin 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 1
2
Exploiting bacteria for cancer immunotherapybreakdown →
91
3 1
4 4
5 9
6 11
7 20
8
L-Asparaginase delivered by Salmonella typhimurium suppresses solid tumors
1
9 45
10 19
11 20
12 174
13 3
14 140
15
Use of Clostridium septicum alpha toxins for isolation of various glycosylphosphatidylinositol-deficient cells.
1
16 53
17 59
18 82
19 93
20 31

About Yeongjin Hong

Yeongjin Hong is a scholar working on Biotechnology, Endocrinology and Genetics, having authored 78 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cancer Research and Treatments (27 papers), Nanoplatforms for cancer theranostics (21 papers) and Virus-based gene therapy research (19 papers). The work is most often cited by research in Biotechnology (1.8k citations), Biomedical Engineering (1.6k citations) and Genetics (893 citations). Yeongjin Hong has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Hyon E. Choy, Jung‐Joon Min, Vu H. Nguyen, Taroh Kinoshita, Joon Haeng Rhee, Yusuke Maeda, Seung‐Hwan Park, Shengnan Jiang, Jin Zheng and Hee‐Seung Bom. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Genes & Development.

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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