Lisa Yu

38 papers receiving 1.8k citations

Peers

Lisa Yu
Comparison fields: 5 of 130
  • Nephrology 176
  • Radiological and Ultrasound Technology 83
  • Molecular Biology 779
  • Neurology 74
  • Obstetrics and Gynecology 62
Replace Mitsutoshi Tsukimoto with:
Mitsutoshi Tsukimoto Japan
Zhihua Yang China
Shuang Wang China
Tsunehito Higashi Japan
Ali Poyan Mehr United States
Simon Mitchell United Kingdom
Francesca Silvagno Italy
Li‐Ming Gan Sweden
Sonu Kashyap United States
Paolo Emidio Macchia Italy
Lisa Yu relative to Mitsutoshi Tsukimoto Japan Mitsutoshi Tsukimoto's profile →
Citations per field
00.5×10×12.6×
Mitsutoshi Tsukimoto · 1×
Citations per year

Countries citing papers authored by Lisa Yu

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005164
2 2021127
3 2019112
4 2014112
5 2002112
6 2002111
7 200496
8 200996
9 200681
10 201379
11 201169
12 200968
13 201962
14 201159
15 202059
16 201045
17 200445
18 202341
19 200138
20 200934

About Lisa Yu

Lisa Yu is a scholar working on Molecular Biology, Organic Chemistry, Cardiology and Cardiovascular Medicine, Pharmacology and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (3 papers), Berberine and alkaloids research (3 papers), Chemical synthesis and alkaloids (3 papers), Fungal and yeast genetics research (3 papers), DNA Repair Mechanisms (2 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Psychedelics and Drug Studies (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Nephrology (176 citations), Radiological and Ultrasound Technology (83 citations), Molecular Biology (779 citations), Neurology (74 citations) and Obstetrics and Gynecology (62 citations). Lisa Yu has collaborated with scholars based in Canada, United States and India. Frequent co-authors include R. Mark Henkelman, John G. Sled, Grant W. Brown, Martin Kolb, Jack Gauldie, Peter J. Margetts, Catherine M. Hoff, Charles Boone, Clifford J. Holmes and Sanié Mnaimneh. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Nature Communications, American Journal of Physiology-Lung Cellular and Molecular Physiology, Laboratory Investigation and Genetics.

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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