Taehoon Sim

613 citations
26 papers · 528 · h-index 14

Impact in

Papers in

Taehoon Sim

26 papers receiving 524 citations

Peers

Taehoon Sim
Comparison fields: 5 of 73
  • Biomaterials 254
  • Pharmaceutical Science 100
  • Molecular Medicine 43
  • Surfaces, Coatings and Films 34
  • Biomedical Engineering 180
Replace Ngoc Ha Hoang with:
Ngoc Ha Hoang South Korea
Ibrahim Alradwan Saudi Arabia
Gautam Behl Ireland
Priyanshu Bharadwaj India
Catarina Oliveira Silva Portugal
Somayeh Alimohammadi Iran
Tianyang Ren China
Byoung-chan Bae South Korea
Iliyas Khan India
Jana Brüßler Germany
Taehoon Sim relative to Ngoc Ha Hoang South Korea Ngoc Ha Hoang's profile →
Citations per field
00.5×1.5×
Ngoc Ha Hoang · 1×
Citations per year

Countries citing papers authored by Taehoon Sim

Since Specialization
Citations

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

Fields of papers citing papers by Taehoon Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Taehoon Sim, 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 Taehoon Sim Line = papers co-authored together Taehoon Sim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202159
2 201656
3 201653
4 201641
5 201739
6 201338
7 201834
8 201819
9 202117
10 201816
11 201915
12 201715
13 201714
14 201914
15 201713
16 202213
17 201711
18 201611
19 202011
20 20199

About Taehoon Sim

Taehoon Sim is a scholar working on Biomaterials, Biomedical Engineering, Molecular Biology, Pharmaceutical Science and Organic Chemistry, having authored 26 papers that have together received 528 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (14 papers), Nanoplatforms for cancer theranostics (9 papers), Graphene and Nanomaterials Applications (5 papers), RNA Interference and Gene Delivery (5 papers), Polymer Surface Interaction Studies (4 papers), Advanced Drug Delivery Systems (4 papers), Photodynamic Therapy Research Studies (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Biomaterials (254 citations), Pharmaceutical Science (100 citations), Molecular Medicine (43 citations), Surfaces, Coatings and Films (34 citations) and Biomedical Engineering (180 citations). Taehoon Sim has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Kyung Taek Oh, Chaemin Lim, Ngoc Ha Hoang, Eun Seong Lee, Yu Seok Youn, Jun‐Won Lee, Dong‐Hyun Kim, Bongseo Choi, Hyunjun Choi and Soon Woo Kwon. Their work appears in journals such as Journal of Pharmaceutical Investigation, International Journal of Nanomedicine, Journal of Materials Chemistry B, AAPS PharmSciTech and Macromolecular Research.

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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