E LEE

673 citations
9 papers · 548 · h-index 9

Impact in

    • Cardiovascular Function and Risk Factors
    • Blood Pressure and Hypertension Studies
    • Cardiovascular Health and Disease Prevention
    • Cardiovascular Disease and Adiposity
  • Rheumatology top 10%
    • Folate and B Vitamins Research

Papers in

E LEE

9 papers receiving 537 citations

Peers

E LEE
Comparison fields: 5 of 74
  • Cardiology and Cardiovascular Medicine 210
  • Rheumatology 93
  • Neurology 40
  • Immunology and Allergy 16
  • Radiology, Nuclear Medicine and Imaging 46
Replace Genji Toda with:
Genji Toda Japan
C. Weiß Germany
Chantal Munts Netherlands
Bin Yuan China
Huili Lin China
Giovanna Franconi Italy
Xiangguo Dai United States
T Kondo Japan
Silke U. Oberdorf‐Maass Netherlands
Andréa Remondino Switzerland
E LEE relative to Genji Toda Japan Genji Toda's profile →
Citations per field
00.5×5.8×
Genji Toda · 1×
Citations per year

Countries citing papers authored by E LEE

Since Specialization
Citations

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

Fields of papers citing papers by E LEE

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2005192
2 200585
3 198567
4 200565
5 201150
6 200634
7 200224
8 202017
9 200614

About E LEE

E LEE is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Oncology and Rheumatology, having authored 9 papers that have together received 548 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Cardiovascular Health and Disease Prevention (1 paper), FOXO transcription factor regulation (1 paper), Bone Metabolism and Diseases (1 paper), Clusterin in disease pathology (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (210 citations), Rheumatology (93 citations), Neurology (40 citations), Immunology and Allergy (16 citations) and Radiology, Nuclear Medicine and Imaging (46 citations). E LEE has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include R DEVEREUX, Jonathan N. Bella, L. Best, Mary J. Roman, Marcello Chinali, Karam F. A. Soliman, Jorge R. Kizer, Clivel G. Charlton, Hwei‐Hsien Chen and Mina J. Bissell. Their work appears in journals such as American Journal of Hypertension, NeuroToxicology, Journal of Cellular Biochemistry, The FASEB Journal and Experimental Cell 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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