Brian C. Weis

1.1k citations
11 papers · 991 · h-index 10

Impact in

    • Metabolism and Genetic Disorders
    • Mitochondrial Function and Pathology
    • Peroxisome Proliferator-Activated Receptors
    • Metabolomics and Mass Spectrometry Studies
    • Biochemical and Molecular Research

Papers in

    • Metabolism and Genetic Disorders 9
    • Mitochondrial Function and Pathology 6
    • Peroxisome Proliferator-Activated Receptors 3
    • Metabolomics and Mass Spectrometry Studies 2

Brian C. Weis

11 papers receiving 945 citations

Peers

Brian C. Weis
Comparison fields: 5 of 62
  • Clinical Biochemistry 672
  • Molecular Biology 770
  • Physiology 222
  • Biochemistry 47
  • Cardiology and Cardiovascular Medicine 72
Replace Naoki Kodo with:
Naoki Kodo Japan
Ellen Song Kang United States
Clark G. Corstorphine United Kingdom
F. J. van Sprang Netherlands
Marinus Duran Netherlands
Martin Majer United States
Keow Giak Sim Australia
Tatiana N. Yuzyuk United States
Liliane Cathelineau France
J Hyánek Czechia
Brian C. Weis relative to Naoki Kodo Japan Naoki Kodo's profile →
Citations per field
00.5×1.5×2×2.4×
Naoki Kodo · 1×
Citations per year

Countries citing papers authored by Brian C. Weis

Since Specialization
Citations

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

Fields of papers citing papers by Brian C. Weis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian C. Weis. 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 Brian C. Weis. The network helps show where Brian C. Weis may publish in the future.

Co-authors

The 19 scholars most cited alongside Brian C. Weis, 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 Brian C. Weis Line = papers co-authored together Brian C. Weis links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1993207
2 1995152
3 1990132
4 1994119
5 1994112
6 1990105
7 199153
8 200351
9 200830
10 200423
11 19937

About Brian C. Weis

Brian C. Weis is a scholar working on Clinical Biochemistry, Molecular Biology, Epidemiology, Virology and Emergency Medicine, having authored 11 papers that have together received 991 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (9 papers), Mitochondrial Function and Pathology (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Diet and metabolism studies (1 paper), Drug-Induced Hepatotoxicity and Protection (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Clinical Biochemistry (672 citations), Molecular Biology (770 citations), Physiology (222 citations), Biochemistry (47 citations) and Cardiology and Cardiovascular Medicine (72 citations). Brian C. Weis has collaborated with scholars based in United States and Portugal. Frequent co-authors include Daniel W. Foster, Julie McGarry, Victoria Esser, Nicholas Fraser Brown, Keith F. Woeltje, A. K. Sen, Andrew T. Cowan, Michael John McPhaul, Clive Arthur Slaughter and Shawn C. Burgess. Their work appears in journals such as Journal of Biological Chemistry, Hepatology, Analytical Biochemistry, Biochemical Journal and Biochimie.

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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