Lawrence Yoon

1.1k citations
25 papers · 832 · h-index 13

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 5
    • Gene expression and cancer classification 3
    • Genomics, phytochemicals, and oxidative stress 3
    • Adipose Tissue and Metabolism 3

Lawrence Yoon

25 papers receiving 811 citations

Peers

Lawrence Yoon
Comparison fields: 5 of 94
  • Aging 25
  • Hepatology 62
  • Physiology 151
  • Pharmacology 48
  • Molecular Biology 383
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Jing Lü China
Sara Carbajo‐Pescador Spain
Alexandra Krauskopf Switzerland
Isadora Asunis Italy
Anissa Igoudjil France
Soledad Miranda Chile
Rebecca L. Smathers United States
Cody J. Schmidlin United States
Manoja K. Brahma United States
Shuya Kasai Japan
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Citations per field
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Citations per year

Countries citing papers authored by Lawrence Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Lawrence Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002113
2 200488
3 200882
4 200479
5 200564
6 200058
7 200157
8 201251
9 200447
10 200240
11 200340
12 200530
13 201615
14 200310
15 200810
16 20139
17 20109
18 20116
19 20026
20 20105

About Lawrence Yoon

Lawrence Yoon is a scholar working on Molecular Biology, Physiology, Epidemiology, Cardiology and Cardiovascular Medicine and Oncology, having authored 25 papers that have together received 832 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), Gene expression and cancer classification (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Adipose Tissue and Metabolism (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers) and Pharmacology and Obesity Treatment (2 papers). The work is most often cited by research in Aging (25 citations), Hepatology (62 citations), Physiology (151 citations), Pharmacology (48 citations) and Molecular Biology (383 citations). Lawrence Yoon has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Corrie Dunn, Steven P. Anderson, Kevin T. Morgan, Chandikumar S. Elangbam, Russell C. Cattley, Hong Ni, Neal F. Cariello, Steven P. Anderson, Roshantha A.S. Chandraratna and Thomas M. Stulnig. Their work appears in journals such as Toxicologic Pathology, Cancer Cell International, Experimental and Toxicologic Pathology, Toxicological Sciences and Journal of Histochemistry & Cytochemistry.

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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