Sejin Son

5.3k citations
56 papers · 4.7k · 2 hit papers · h-index 33

Impact in

Papers in

Sejin Son

55 papers receiving 4.6k citations

Sejin Son's Hit Papers

Cancer nanomedicine for combination cancer immunotherapy 2019 · 856 citations
8560+2+5Years since publication250500750

Peers

Sejin Son
Comparison fields: 5 of 112
  • Biomaterials 1.4k
  • Biomedical Engineering 2.6k
  • Immunology 1.0k
  • Pharmaceutical Science 174
  • Molecular Biology 1.9k
Replace Weijing Yang with:
Weijing Yang China
Jutaek Nam South Korea
Xiangrui Liu China
Kun Shao China
Song Shen China
Xuexiang Han China
Cong‐Fei Xu China
Dangge Wang China
Ju Hee Ryu South Korea
Rui Kuai United States
Sejin Son relative to Weijing Yang China Weijing Yang's profile →
Citations per field
00.5×2×3×
Weijing Yang · 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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cancer nanomedicine for combination cancer immunotherapy
Hit paper breakdown →
2019856
2
Chemo-photothermal therapy combination elicits anti-tumor immunity against advanced metastatic cancer
Hit paper breakdown →
2018730
3 2018322
4 2016297
5 2011234
6 2011208
7 2014125
8 2010118
9 2010117
10 2014117
11 200995
12 201291
13 202084
14 201481
15 202179
16 202071
17 201671
18 201567
19 201265
20 201163

About Sejin Son

Sejin Son is a scholar working on Biomaterials, Immunology, Biomedical Engineering, Molecular Biology and Oncology, having authored 56 papers that have together received 4.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (21 papers), Advanced biosensing and bioanalysis techniques (14 papers), Immunotherapy and Immune Responses (13 papers), Nanoparticle-Based Drug Delivery (9 papers), Nanoplatforms for cancer theranostics (9 papers), Cancer Immunotherapy and Biomarkers (7 papers), Ultrasound and Hyperthermia Applications (5 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Biomaterials (1.4k citations), Biomedical Engineering (2.6k citations), Immunology (1.0k citations), Pharmaceutical Science (174 citations) and Molecular Biology (1.9k citations). Sejin Son has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Jutaek Nam, James Jaehyun Moon, Won Jong Kim, Kyong Soo Park, Anna A. 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, Biomaterials Research and Nano Letters.

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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