Lena Schultz

774 citations
14 papers · 659 · h-index 11

Impact in

    • Eicosanoids and Hypertension Pharmacology
  • Pharmacology top 10%
    • Inflammatory mediators and NSAID effects

Papers in

Lena Schultz

14 papers receiving 642 citations

Peers

Lena Schultz
Comparison fields: 5 of 52
  • Biochemistry 130
  • Pharmacology 108
  • Molecular Biology 262
  • Nutrition and Dietetics 46
  • Organic Chemistry 92
Replace Craig H. Miller with:
Craig H. Miller United States
Jih‐Lie Tseng United States
Stina Feltenmark Sweden
Stephen G Pacholok United States
Jean-Michel Dogné Belgium
Masahiko Ueno Japan
Chi-Chung Chan Canada
Kathryn A. Welch United States
R.‐J. Kuban Germany
Sen-Lin Zhou United States
Lena Schultz relative to Craig H. Miller United States Craig H. Miller's profile →
Citations per field
00.5×5×11.8×
Craig H. Miller · 1×
Citations per year

Countries citing papers authored by Lena Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Lena Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2013139
2 201491
3 200984
4 201475
5 201071
6 201159
7 201133
8 201030
9 201422
10
Discovery of ML355, a Potent and Selective Inhibitor of Human 12-Lipoxygenase
201421
11
Discovery of ML351, a Potent and Selective Inhibitor of Human 15-Lipoxygenase-1
201414
12 20229
13 20238
14 20253

About Lena Schultz

Lena Schultz is a scholar working on Biochemistry, Pharmacology, Oncology, Molecular Biology and Neurology, having authored 14 papers that have together received 659 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (8 papers), Inflammatory mediators and NSAID effects (8 papers), Cancer Immunotherapy and Biomarkers (3 papers), Synthesis and biological activity (2 papers), Epigenetics and DNA Methylation (1 paper), Redox biology and oxidative stress (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Biochemistry (130 citations), Pharmacology (108 citations), Molecular Biology (262 citations), Nutrition and Dietetics (46 citations) and Organic Chemistry (92 citations). Lena Schultz has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Anton Simeonov, Ajit Jadhav, David J. Maloney, Theodore R. Holman, Victor A. Kenyon, Masaaki Sakurai, Ganesha Rai, Netra Joshi, Steve Perry and Adam Yasgar. Their work appears in journals such as Journal of Medicinal Chemistry, PLoS ONE, Journal for ImmunoTherapy of Cancer, Free Radical Biology and Medicine and Molecular Cancer Therapeutics.

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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