Sejin Son

5.1k citations
51 papers · 4.3k indexed · 2 hit papers · h-index 31

Impact in

Papers in

Sejin Son

47 papers receiving 4.3k citations

Hit Papers

Cancer nanomedicine for combination cancer immunotherapy 2019 · 797 citations
7972018202620202023250500750

Peers

Sejin Son
Comparison fields: 5 of 108
  • Biomaterials 1.3k
  • Biomedical Engineering 2.4k
  • Immunology 1.0k
  • Molecular Biology 1.8k
  • Pharmaceutical Science 150
Replace Ashley V. Kroll with:
Ashley V. Kroll United States
Weijing Yang China
Xuexiang Han China
Song Shen China
Cong‐Fei Xu China
Dangge Wang China
Diana Dehaini United States
Rui Kuai United States
Ju Hee Ryu South Korea
Keman Cheng China
Sejin Son relative to Ashley V. Kroll United States Ashley V. Kroll's profile →
Citations per field
00.5×4.0×
Ashley V. Kroll · 1×
Citations per year

Countries citing papers authored by Sejin Son

Since Specialization
Citations

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

Fields of papers citing papers by Sejin Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sejin Son, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sejin Son Line = papers co-authored together Sejin Son links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cancer nanomedicine for combination cancer immunotherapy
Hit paper breakdown →
2019797
2
Chemo-photothermal therapy combination elicits anti-tumor immunity against advanced metastatic cancer
Hit paper breakdown →
2018691
3 2018300
4 2016270
5 2011226
6 2011191
7 2010112
8 2010112
9 2014109
10 2014109
11 200993
12 201288
13 202080
14 201477
15 202176
16 202064
17 201262
18 201660
19 201555
20 201154

About Sejin Son

Sejin Son is a scholar working on Biomaterials, Immunology, Molecular Medicine, Biomedical Engineering and Molecular Biology, having authored 51 papers that have together received 4.3k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (21 papers), Immunotherapy and Immune Responses (15 papers), Advanced biosensing and bioanalysis techniques (14 papers), Nanoparticle-Based Drug Delivery (8 papers), Nanoplatforms for cancer theranostics (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Virus-based gene therapy research (6 papers) and Photoacoustic and Ultrasonic Imaging (5 papers). The work is most often cited by research in Biomaterials (1.3k citations), Biomedical Engineering (2.4k citations), Immunology (1.0k citations), Molecular Biology (1.8k citations) and Pharmaceutical Science (150 citations). Sejin Son has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Jutaek Nam, James J. Moon, Won Jong Kim, Kyong Soo Park, Anna Schwendeman, Rui Kuai, Weiping Zou, Lonnie D. Shea, Lukasz J. Ochyl and Kaushik Singha. Their work appears in journals such as Biomaterials, Journal of Controlled Release, Advanced Science, Scientific Reports and Theranostics.

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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