Dave Flowers

2.3k citations
3 papers · 678 · 1 hit paper · h-index 3

Impact in

    • Antioxidant Activity and Oxidative Stress
    • Sulfur Compounds in Biology
  • Immunology top 10%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • PI3K/AKT/mTOR signaling in cancer 1
    • Glycosylation and Glycoproteins Research 1
    • Protein Kinase Regulation and GTPase Signaling 1
    • Antioxidant Activity and Oxidative Stress 1

Dave Flowers

3 papers receiving 668 citations

Dave Flowers's Hit Papers

Presence of hypochlorite-modified proteins in human atherosclerotic lesions. 1996 · 530 citations
5300+10+20Years since publication100200300400500

Peers

Dave Flowers
Comparison fields: 5 of 69
  • Biochemistry 114
  • Immunology 314
  • Biochemistry 89
  • Clinical Biochemistry 56
  • Physiology 187
Replace Jan Maciej Zgliczyński with:
Jan Maciej Zgliczyński Poland
J.M. Dypbukt Sweden
Jeffrey C. Baker United States
Inga Sliskovic United States
Mark T. Yates United States
F. Cajone Italy
Włodzimierz Sasak United States
P. Varenne France
Navin Rauniyar United States
Ashraf G. Madian United States
Dave Flowers relative to Jan Maciej Zgliczyński Poland Jan Maciej Zgliczyński's profile →
Citations per field
00.5×7.5×
Jan Maciej Zgliczyński · 1×
Citations per year

Countries citing papers authored by Dave Flowers

Since Specialization
Citations

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

Fields of papers citing papers by Dave Flowers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Dave Flowers

Dave Flowers is a scholar working on Molecular Biology, Biochemistry, Immunology, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 678 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (1 paper), Glycosylation and Glycoproteins Research (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Antioxidant Activity and Oxidative Stress (1 paper). The work is most often cited by research in Biochemistry (114 citations), Immunology (314 citations), Biochemistry (89 citations), Clinical Biochemistry (56 citations) and Physiology (187 citations). Dave Flowers has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Linda Hazell, L. Arnold, Ernst Malle, G. Waeg, Roland Stocker, Barbara J. Trask, Larry R. Rohrschneider, Paul A. Algate, Cynthia Friedman and Kristen Carlberg. Their work appears in journals such as Blood, BMC Genomics and Journal of Clinical Investigation.

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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