Ji Eun Lee

2.1k citations
57 papers · 1.6k · 1 hit paper · h-index 19

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Wound Healing and Treatments

Papers in

Ji Eun Lee

55 papers receiving 1.6k citations

Ji Eun Lee's Hit Papers

Mapping intact protein isoforms in discovery mode using top-down proteomics 2011 · 502 citations
5020+5+10Years since publication100200300400500

Peers

Ji Eun Lee
Comparison fields: 5 of 119
  • Spectroscopy 468
  • Rehabilitation 99
  • Molecular Biology 880
  • Obstetrics and Gynecology 81
  • Biomaterials 130
Replace Evgeniy G. Evtushenko with:
Evgeniy G. Evtushenko Russia
Weilun Pan China
Dan Yan China
Zhilei Ge China
Jörg Kobarg Brazil
Shihua Luo China
Renée Whan Australia
Diwei Ho Australia
Fugang Li China
Yiping Gu Canada
Ji Eun Lee relative to Evgeniy G. Evtushenko Russia Evgeniy G. Evtushenko's profile →
Citations per field
00.5×10×15×20.3×
Evgeniy G. Evtushenko · 1×
Citations per year

Countries citing papers authored by Ji Eun Lee

Since Specialization
Citations

This map shows the geographic impact of Ji 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 Ji 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 Ji Eun Lee more than expected).

Fields of papers citing papers by Ji Eun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ji 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 Ji Eun Lee Line = papers co-authored together Ji 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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mapping intact protein isoforms in discovery mode using top-down proteomics
Hit paper breakdown →
2011502
2 2022110
3 201896
4 201795
5 201455
6 201552
7 201046
8 202245
9 202242
10 202241
11 202337
12 202030
13 201429
14 201928
15 201625
16 201525
17 202123
18 202019
19 201719
20 202117

About Ji Eun Lee

Ji Eun Lee is a scholar working on Molecular Biology, Epidemiology, Obstetrics and Gynecology, Electrical and Electronic Engineering and Immunology, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Preterm Birth and Chorioamnionitis (12 papers), Pregnancy and preeclampsia studies (9 papers), Advanced biosensing and bioanalysis techniques (8 papers), Advanced Proteomics Techniques and Applications (7 papers), Electrochemical sensors and biosensors (6 papers), Pregnancy-related medical research (6 papers), Neonatal Respiratory Health Research (6 papers) and Mass Spectrometry Techniques and Applications (5 papers). The work is most often cited by research in Spectroscopy (468 citations), Rehabilitation (99 citations), Molecular Biology (880 citations), Obstetrics and Gynecology (81 citations) and Biomaterials (130 citations). Ji Eun Lee has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Hye Jin Lee, Leonid Zamdborg, Neil L. Kelleher, John C. Tran, Mingxi Li, Steve M. M. Sweet, Adam D. Catherman, Kenneth R. Durbin, John F. Kellie and Paul M. Thomas. Their work appears in journals such as Scientific Reports, PLoS ONE, Reproductive Sciences, PROTEOMICS and American Journal of Reproductive 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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