Jun‐Pil Jee

2k citations
61 papers · 1.6k · h-index 20

Impact in

Papers in

Jun‐Pil Jee

59 papers receiving 1.5k citations

Peers

Jun‐Pil Jee
Comparison fields: 5 of 99
  • Pharmaceutical Science 879
  • Drug Discovery 9
  • Biomaterials 187
  • Rehabilitation 68
  • Molecular Medicine 60
Replace Gislaine Ricci Leonardi with:
Gislaine Ricci Leonardi Brazil
Hyeongmin Kim South Korea
Erzsébet Csányi Hungary
Yasser Shahzad Pakistan
Yiao Wang United States
Amal Hassan El-Kamel Egypt
Shivajirao S. Kadam India
Shumin Zhu China
Mária Budai-Szűcs Hungary
Aurélie Schoubben Italy
Jun‐Pil Jee relative to Gislaine Ricci Leonardi Brazil Gislaine Ricci Leonardi's profile →
Citations per field
00.5×2×2.6×
Gislaine Ricci Leonardi · 1×
Citations per year

Countries citing papers authored by Jun‐Pil Jee

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Pil Jee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Pil Jee. 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 Jun‐Pil Jee. The network helps show where Jun‐Pil Jee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009313
2 2009250
3 2006106
4 201988
5 201773
6 201956
7 202251
8 202348
9 201246
10 201141
11 202237
12 201030
13 201629
14 201729
15 202529
16 202027
17 202227
18 201721
19 200620
20 201820

About Jun‐Pil Jee

Jun‐Pil Jee is a scholar working on Pharmaceutical Science, Biomaterials, Analytical Chemistry, Surfaces, Coatings and Films and Organic Chemistry, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Drug Solubulity and Delivery Systems (16 papers), Nanoparticle-Based Drug Delivery (9 papers), Advanced Drug Delivery Systems (7 papers), Analytical Methods in Pharmaceuticals (6 papers), Ocular Surface and Contact Lens (4 papers), Polymer Surface Interaction Studies (4 papers), Surfactants and Colloidal Systems (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Pharmaceutical Science (879 citations), Drug Discovery (9 citations), Biomaterials (187 citations), Rehabilitation (68 citations) and Molecular Medicine (60 citations). Jun‐Pil Jee has collaborated with scholars based in South Korea, United States and Philippines. Frequent co-authors include Chul Soon Yong, Jong Oh Kim, Han‐Gon Choi, Jong Soo Woo, Dong Hoon Oh, Beom‐Jin Lee, Prabagar Balakrishnan, Chong‐Kook Kim, Jeong‐Sook Park and Jung Ae Kim. Their work appears in journals such as Journal of Pharmaceutical Investigation, Pharmaceutics, Journal of Nanoscience and Nanotechnology, Archives of Pharmacal Research and European Journal of Pharmaceutics and Biopharmaceutics.

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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