Song Eun Lee

6.8k citations
103 papers · 2.5k · 2 hit papers · h-index 17

Impact in

  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Aging top 5%

Papers in

Song Eun Lee

97 papers receiving 2.5k citations

Song Eun Lee's Hit Papers

Lipid-droplet-accumulating microglia represent a dysfunctional and proinflammatory state in the aging brain 2020 · 793 citations
7930+2+4Years since publication250500750

Peers

Song Eun Lee
Comparison fields: 5 of 132
  • Neurology 540
  • Aging 85
  • Biological Psychiatry 88
  • Clinical Biochemistry 236
  • Ophthalmology 315
Replace Altan Rentsendorj with:
Altan Rentsendorj United States
Kazem Zibara Lebanon
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Paul Gissen United Kingdom
Lizzia Raffaghello Italy
Paul Lingor Germany
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Citations per field
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Citations per year

Countries citing papers authored by Song Eun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Song Eun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song Eun Lee. 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 Song Eun Lee. The network helps show where Song Eun Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lipid-droplet-accumulating microglia represent a dysfunctional and proinflammatory state in the aging brain
Hit paper breakdown →
2020793
2
Undulating changes in human plasma proteome profiles across the lifespan
Hit paper breakdown →
2019492
3 2005157
4 201094
5 200893
6 200389
7 200786
8 200676
9 201061
10 201351
11 200440
12 201033
13 200629
14 201428
15 201325
16
Hmong Students in Higher Education and Academic Support Programs
201117
17 201517
18 200316
19 201115
20 201714

About Song Eun Lee

Song Eun Lee is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Molecular Biology and Ophthalmology, having authored 103 papers that have together received 2.5k indexed citations. Recurring topics across this work include Organic Light-Emitting Diodes Research (67 papers), Organic Electronics and Photovoltaics (51 papers), Luminescence and Fluorescent Materials (30 papers), Conducting polymers and applications (29 papers), Retinal Diseases and Treatments (5 papers), Glaucoma and retinal disorders (4 papers), Perovskite Materials and Applications (4 papers) and Hair Growth and Disorders (4 papers). The work is most often cited by research in Neurology (540 citations), Aging (85 citations), Biological Psychiatry (88 citations), Clinical Biochemistry (236 citations) and Ophthalmology (315 citations). Song Eun Lee has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Tony Wyss‐Coray, Benoit Lehallier, Ludwig Aigner, Heimo Wolinski, Justin Kim, Tal Iram, Oliver Hãhn, Julia Marschallinger, Macy E. Zardeneta and Vidhu Mathur. Their work appears in journals such as Journal of Nanoscience and Nanotechnology, Journal of Luminescence, Japanese Journal of Applied Physics, Displays and Journal of Allergy and Clinical Immunology.

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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