Ester J. Kwon

2.6k citations
42 papers · 1.9k · h-index 22

Impact in

Papers in

    • RNA Interference and Gene Delivery 19
    • Advanced biosensing and bioanalysis techniques 13
    • S100 Proteins and Annexins 6
    • Graphene and Nanomaterials Applications 5
    • Nanoplatforms for cancer theranostics 3

Ester J. Kwon

40 papers receiving 1.9k citations

Peers

Ester J. Kwon
Comparison fields: 5 of 108
  • Cancer Research 311
  • Biomaterials 269
  • Developmental Neuroscience 73
  • Molecular Biology 1.1k
  • Biomedical Engineering 468
Replace Brenda Auffinger with:
Brenda Auffinger United States
Lingjiao Zhang United States
Ramin A. Morshed United States
Do Won Hwang South Korea
Yu Han United States
Hiroyuki Michiue Japan
Alex L. Tobias United States
Stacey Hansen United States
Laura Cerchia Italy
Anne Clavreul France
Ester J. Kwon relative to Brenda Auffinger United States Brenda Auffinger's profile →
Citations per field
00.5×2.6×
Brenda Auffinger · 1×
Citations per year

Countries citing papers authored by Ester J. Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Ester J. Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ester J. Kwon. 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 Ester J. Kwon. The network helps show where Ester J. Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015182
2 2012177
3 2016156
4 2016133
5 2016124
6 2017109
7 200887
8 201685
9 201784
10 201578
11 201868
12 200967
13 201966
14 202364
15 202356
16 201036
17 200731
18 200830
19 201427
20 202225

About Ester J. Kwon

Ester J. Kwon is a scholar working on Molecular Biology, Biomedical Engineering, Neurology, Biomaterials and Cancer Research, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (13 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers), S100 Proteins and Annexins (6 papers), Nanoparticle-Based Drug Delivery (5 papers), Graphene and Nanomaterials Applications (5 papers), MicroRNA in disease regulation (4 papers) and Nanoplatforms for cancer theranostics (3 papers). The work is most often cited by research in Cancer Research (311 citations), Biomaterials (269 citations), Developmental Neuroscience (73 citations), Molecular Biology (1.1k citations) and Biomedical Engineering (468 citations). Ester J. Kwon has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Sangeeta N. Bhatia, Li‐Huei Tsai, Wenyuan Wang, Matthew Skalak, Suzie H. Pun, Michael J. Sailor, Erkki Ruoslahti, Justin H. Lo, Jamie M. Bergen and Jaideep S. Dudani. Their work appears in journals such as Bioconjugate Chemistry, Advanced Materials, ACS Nano, Molecular Pharmaceutics and Nature Biomedical Engineering.

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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