Natalie Lassen

18 papers receiving 752 citations

Peers

Natalie Lassen
Comparison fields: 5 of 94
  • Clinical Biochemistry 91
  • Biochemistry 61
  • Cancer Research 126
  • Pathology and Forensic Medicine 121
  • Molecular Biology 441
Replace Teruaki Iyama with:
Teruaki Iyama Japan
J. Antonie Maassen Netherlands
Michaela Artwohl Austria
Seung‐Hee Jo United States
Lars Hjelmqvist Sweden
Lily C. Hsu United States
Adriana Zatterale Italy
Pen-Hui Yin Taiwan
Emelyn H. Shroff United States
David T. Kurtz United States
Natalie Lassen relative to Teruaki Iyama Japan Teruaki Iyama's profile →
Citations per field
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Teruaki Iyama · 1×
Citations per year

Countries citing papers authored by Natalie Lassen

Since Specialization
Citations

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

Fields of papers citing papers by Natalie Lassen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2010160
2 2007142
3 2006118
4 200779
5 200654
6 201246
7 200644
8 200541
9 201741
10 195618
11 200616
12 20096
13
ALDH3A1 Prevents Apoptosis of Corneal Cells Induced by DNA Damaging Agents and Oxidative Stress
20053
14
Cataract Phenotype in Aldh1a1–/–/aldh3a1–/– Double Knockout Mice
20062
15 20142
16
Aldh3a1(-/-) Knockout Mice Reveal Novel Functions of Corneal Crystallins
20071
17 20151
18
Development and Initial Characterization of the Aldh1a1(–/–)/Aldh3a1(–/–) Double Knockout Mice
20051

About Natalie Lassen

Natalie Lassen is a scholar working on Molecular Biology, Clinical Biochemistry, Pathology and Forensic Medicine, Physiology and Surgery, having authored 18 papers that have together received 775 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (5 papers), Connexins and lens biology (5 papers), Biochemical effects in animals (3 papers), Alcohol Consumption and Health Effects (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Esophageal Cancer Research and Treatment (2 papers) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Clinical Biochemistry (91 citations), Biochemistry (61 citations), Cancer Research (126 citations), Pathology and Forensic Medicine (121 citations) and Molecular Biology (441 citations). Natalie Lassen has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Vasilis Vasiliou, Tia Estey, Joram Piatigorsky, Aglaia Pappa, William J. Black, Brian J. Day, K.L. Kavanagh, Triantafyllos Chavakis, Udo Oppermann and Miriam Cantore. Their work appears in journals such as Free Radical Biology and Medicine, Journal of Biological Chemistry, Investigative Ophthalmology & Visual Science, Journal of the American Academy of Dermatology and Journal of Clinical Oncology.

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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