Steven Rivera

578 citations
12 papers · 449 · h-index 9

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Biochemistry top 10%
    • Eicosanoids and Hypertension Pharmacology

Papers in

Steven Rivera

11 papers receiving 436 citations

Peers

Steven Rivera
Comparison fields: 5 of 75
  • Pharmacology 176
  • Biochemistry 74
  • Cancer Research 123
  • Health, Toxicology and Mutagenesis 74
  • Molecular Biology 198
Replace Ben J. Roberts with:
Ben J. Roberts Australia
Michele Campaigne Larsen United States
A. Hirvonen Finland
L. F. Gulyaeva Russia
Olaf Döhr Germany
Yoshiaki Fujii-Kuriyama Japan
Paul B. Brake United States
Alexandra Rogue France
Ryota Shizu Japan
Susan C. Hasmall United Kingdom
Steven Rivera relative to Ben J. Roberts Australia Ben J. Roberts's profile →
Citations per field
00.5×1.6×
Ben J. Roberts · 1×
Citations per year

Countries citing papers authored by Steven Rivera

Since Specialization
Citations

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

Fields of papers citing papers by Steven Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2002118
2 200588
3 200273
4 200752
5 201534
6 200428
7 201823
8 200221
9 200710
10 20251
11 19851
12 20250

About Steven Rivera

Steven Rivera is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Health, Toxicology and Mutagenesis and Biochemistry, having authored 12 papers that have together received 449 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Glutathione Transferases and Polymorphisms (2 papers), Toxic Organic Pollutants Impact (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Colorectal Cancer Treatments and Studies (1 paper), Oral and gingival health research (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Pharmacology (176 citations), Biochemistry (74 citations), Cancer Research (123 citations), Health, Toxicology and Mutagenesis (74 citations) and Molecular Biology (198 citations). Steven Rivera has collaborated with scholars based in United States, Finland and Australia. Frequent co-authors include Oliver Hankinson, Sirkku T. Saarikoski, Kirsti Husgafvel‐Pursiainen, Rui Wang, Robert T. Taylor, Ruixue Zhang, Weimin Sun, Enrico Garattini, Mineko Terao and Hyun Ho Choi. Their work appears in journals such as Molecular Pharmacology, PLoS Medicine, FEBS Letters, Xenobiotica and Toxicology.

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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