Gi‐Hoon Nam

2.7k total citations
47 papers, 2.2k citations indexed

About

Gi‐Hoon Nam is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Gi‐Hoon Nam has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 21 papers in Molecular Biology and 14 papers in Oncology. Recurrent topics in Gi‐Hoon Nam's work include Extracellular vesicles in disease (18 papers), Immunotherapy and Immune Responses (16 papers) and RNA Interference and Gene Delivery (12 papers). Gi‐Hoon Nam is often cited by papers focused on Extracellular vesicles in disease (18 papers), Immunotherapy and Immune Responses (16 papers) and RNA Interference and Gene Delivery (12 papers). Gi‐Hoon Nam collaborates with scholars based in South Korea, Japan and United States. Gi‐Hoon Nam's co-authors include In‐San Kim, Yoosoo Yang, Yeonsun Hong, Gi Beom Kim, Eun Jung Lee, Yoonjeong Choi, Seong A Kim, Seohyun Kim, Eunji Cho and Ick Chan Kwon and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Gi‐Hoon Nam

46 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gi‐Hoon Nam South Korea 26 1.3k 712 696 642 393 47 2.2k
Chiara Brignole Italy 29 1.4k 1.1× 642 0.9× 397 0.6× 423 0.7× 494 1.3× 55 2.7k
Junhua Mai United States 25 1.1k 0.8× 554 0.8× 595 0.9× 229 0.4× 534 1.4× 58 2.1k
Chao Wan China 23 784 0.6× 486 0.7× 765 1.1× 296 0.5× 420 1.1× 74 2.0k
Neha N. Parayath United States 19 927 0.7× 620 0.9× 555 0.8× 170 0.3× 457 1.2× 29 1.8k
Wei‐Wei Deng China 22 708 0.5× 849 1.2× 570 0.8× 220 0.3× 829 2.1× 51 2.1k
Sean P. Arlauckas United States 12 851 0.6× 1.4k 2.0× 613 0.9× 221 0.3× 694 1.8× 17 2.3k
Yeonsun Hong South Korea 22 1.5k 1.1× 472 0.7× 426 0.6× 700 1.1× 210 0.5× 31 2.0k
Yanhua Tian China 17 2.7k 2.0× 402 0.6× 996 1.4× 1.1k 1.7× 430 1.1× 33 3.6k
Yajun Guo China 32 1.6k 1.2× 709 1.0× 373 0.5× 295 0.5× 586 1.5× 99 3.0k
Shoubao Ma China 19 769 0.6× 694 1.0× 272 0.4× 255 0.4× 592 1.5× 33 2.0k

Countries citing papers authored by Gi‐Hoon Nam

Since Specialization
Citations

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

Fields of papers citing papers by Gi‐Hoon Nam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gi‐Hoon Nam. 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 Gi‐Hoon Nam. The network helps show where Gi‐Hoon Nam may publish in the future.

Co-authorship network of co-authors of Gi‐Hoon Nam

This figure shows the co-authorship network connecting the top 25 collaborators of Gi‐Hoon Nam. A scholar is included among the top collaborators of Gi‐Hoon Nam 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 Gi‐Hoon Nam. Gi‐Hoon Nam 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
1.
Wahab, Riajul, Seong A Kim, Cherlhyun Jeong, et al.. (2025). Targeted delivery of apelin using a novel extracellular vesicle platform for pulmonary arterial hypertension treatment. Biomaterials. 323. 123438–123438. 2 indexed citations
2.
Nam, Gi‐Hoon, et al.. (2025). Breaking barriers: Engineering extracellular vesicles for enhanced endosomal escape and therapeutic delivery. Journal of Controlled Release. 389. 114462–114462. 1 indexed citations
3.
Ahn, Wooin, Ji-Hoon Han, Younghoon Lee, et al.. (2025). Hierarchical protein nano-crystalline hydrogel with extracellular vesicles for ectopic lymphoid structure formation. Biomaterials. 318. 123166–123166. 5 indexed citations
4.
Lee, Yeji, Jiyoung Goo, Yu Jin Jeong, et al.. (2025). Controlled delivery of HIF-1α via extracellular vesicles with collagen-binding activity for enhanced wound healing. Journal of Controlled Release. 380. 330–347. 6 indexed citations
5.
6.
Lee, Inkyu, Yoonjeong Choi, Minjeong Kwon, et al.. (2023). Small Extracellular Vesicles as a New Class of Medicines. Pharmaceutics. 15(2). 325–325. 18 indexed citations
7.
Kim, Seong A, Seohyun Kim, Gi Beom Kim, et al.. (2022). Protein-based nanocages for vaccine development. Journal of Controlled Release. 353. 767–791. 26 indexed citations
8.
Yang, Suah, Man Kyu Shim, Jiwoong Choi, et al.. (2021). Cancer-activated doxorubicin prodrug nanoparticles induce preferential immune response with minimal doxorubicin-related toxicity. Biomaterials. 272. 120791–120791. 121 indexed citations
9.
Chang, Hyeyoun, et al.. (2021). RNAi-Based Approaches for Pancreatic Cancer Therapy. Pharmaceutics. 13(10). 1638–1638. 12 indexed citations
10.
Kim, Gi Beom, Gi‐Hoon Nam, Wonjun Kim, et al.. (2021). Design of PD-1-decorated nanocages targeting tumor-draining lymph node for promoting T cell activation. Journal of Controlled Release. 333. 328–338. 19 indexed citations
11.
Nam, Gi‐Hoon, Gi Beom Kim, Wonjun Kim, et al.. (2021). Overcoming therapeutic efficiency limitations against TRAIL-resistant tumors using re-sensitizing agent-loaded trimeric TRAIL-presenting nanocages. Journal of Controlled Release. 331. 7–18. 19 indexed citations
12.
Kwon, Minsu, et al.. (2021). The right Timing, right combination, right sequence, and right delivery for Cancer immunotherapy. Journal of Controlled Release. 331. 321–334. 45 indexed citations
13.
Yang, Yoosoo, Gi‐Hoon Nam, Gi Beom Kim, Yoon Kyoung Kim, & In‐San Kim. (2019). Intrinsic cancer vaccination. Advanced Drug Delivery Reviews. 151-152. 2–22. 37 indexed citations
14.
Kim, Manse, Abhishek Sahu, Young-Min Hwang, et al.. (2019). Targeted delivery of anti-inflammatory cytokine by nanocarrier reduces atherosclerosis in Apo E−/- mice. Biomaterials. 226. 119550–119550. 94 indexed citations
15.
Nam, Gi‐Hoon, Eun Jung Lee, Yoon Kyoung Kim, et al.. (2018). Combined Rho-kinase inhibition and immunogenic cell death triggers and propagates immunity against cancer. Nature Communications. 9(1). 2165–2165. 92 indexed citations
16.
Cho, Eunji, Gi‐Hoon Nam, Yeonsun Hong, et al.. (2018). Comparison of exosomes and ferritin protein nanocages for the delivery of membrane protein therapeutics. Journal of Controlled Release. 279. 326–335. 97 indexed citations
17.
Hong, Yongmiao, Gi‐Hoon Nam, Sangmin Jeon, et al.. (2017). Exosome as a Vehicle for Delivery of Membrane Protein Therapeutics, PH20, for Enhanced Tumor Penetration and Antitumor Efficacy. Advanced Functional Materials. 28(5). 111 indexed citations
18.
Lee, Eun Jung, Gi‐Hoon Nam, Yeonsun Hong, et al.. (2017). Exosome-SIRPα, a CD47 blockade increases cancer cell phagocytosis. Biomaterials. 121. 121–129. 311 indexed citations
19.
Lee, Na Kyeong, Eun Jung Lee, So‐Youn Kim, et al.. (2017). Ferritin nanocage with intrinsically disordered proteins and affibody: A platform for tumor targeting with extended pharmacokinetics. Journal of Controlled Release. 267. 172–180. 40 indexed citations
20.
Kim, Manse, Abhishek Sahu, Gi Beom Kim, et al.. (2017). Comparison of in vivo targeting ability between cRGD and collagen-targeting peptide conjugated nano-carriers for atherosclerosis. Journal of Controlled Release. 269. 337–346. 68 indexed citations

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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