Steven D. Rees

734 citations
10 papers · 584 · h-index 9

Impact in

  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
    • Receptor Mechanisms and Signaling
    • Cancer therapeutics and mechanisms

Papers in

    • Receptor Mechanisms and Signaling 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Gut microbiota and health 1
    • Drug Transport and Resistance Mechanisms 3

Steven D. Rees

10 papers receiving 572 citations

Peers

Steven D. Rees
Comparison fields: 5 of 91
  • Oncology 213
  • Molecular Biology 330
  • Structural Biology 7
  • Infectious Diseases 69
  • Nutrition and Dietetics 50
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Citations per year

Countries citing papers authored by Steven D. Rees

Since Specialization
Citations

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

Fields of papers citing papers by Steven D. Rees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven D. Rees. 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 Steven D. Rees. The network helps show where Steven D. Rees may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2015155
2 201699
3 201991
4 201967
5 200759
6 202132
7 201932
8
Characteristics of particle uptake by the phagotrophic phytoflagellate, Dinobryon divergens.
199422
9
ASCORBIC ACID AND LIPID PEROXIDATION THE CROSS OVER EFFECT
198720
10 20217

About Steven D. Rees

Steven D. Rees is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 584 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (3 papers), Receptor Mechanisms and Signaling (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Meat and Animal Product Quality (1 paper), Enzyme Structure and Function (1 paper), Molecular Sensors and Ion Detection (1 paper), Crystallography and molecular interactions (1 paper) and Gut microbiota and health (1 paper). The work is most often cited by research in Oncology (213 citations), Molecular Biology (330 citations), Structural Biology (7 citations), Infectious Diseases (69 citations) and Nutrition and Dietetics (50 citations). Steven D. Rees has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Geoffrey Chang, Aaron P. McGrath, Qinghai Zhang, Ina L. Urbatsch, Houchao Tao, Paul Szewczyk, Sung Chang Lee, Rupak Doshi, Ben Powney and Alan Wise. Their work appears in journals such as Proceedings of the National Academy of Sciences, Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology, Proteins Structure Function and Bioinformatics, Molecular Pharmacology and Nature Microbiology.

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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