Gary Brandt

866 citations
15 papers · 732 · h-index 13

Impact in

  • Toxicology top 10%
    • Heat shock proteins research
    • Phytochemical compounds biological activities
    • DNA and Nucleic Acid Chemistry
    • ATP Synthase and ATPases Research
    • Protein Structure and Dynamics

Papers in

Gary Brandt

15 papers receiving 722 citations

Peers

Gary Brandt
Comparison fields: 5 of 78
  • Toxicology 34
  • Molecular Biology 515
  • Computational Theory and Mathematics 103
  • Physical and Theoretical Chemistry 48
  • Genetics 57
Replace Viktor S. Stroylov with:
Viktor S. Stroylov Russia
Ryszard Szyszka Poland
Ewa Żesławska Poland
Nulgumnalli Manjunathaiah Raghavendra India
Jean‐Louis Kraus France
Saeed R. Khan United States
Stefania Terracciano Italy
Ashutosh Shandilya India
Dean Stamos United States
Daniel J. Mason United Kingdom
Gary Brandt relative to Viktor S. Stroylov Russia Viktor S. Stroylov's profile →
Citations per field
00.5×1.5×2.3×
Viktor S. Stroylov · 1×
Citations per year

Countries citing papers authored by Gary Brandt

Since Specialization
Citations

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

Fields of papers citing papers by Gary Brandt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011147
2 2008130
3 201072
4 196864
5 200560
6 201053
7 200942
8 200631
9 196827
10 200924
11 200621
12 201421
13 201219
14 201112
15 20059

About Gary Brandt

Gary Brandt is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Clinical Biochemistry and Renewable Energy, Sustainability and the Environment, having authored 15 papers that have together received 732 indexed citations. Recurring topics across this work include Heat shock proteins research (7 papers), Computational Drug Discovery Methods (4 papers), Metabolism and Genetic Disorders (2 papers), Biochemical and Molecular Research (2 papers), Natural product bioactivities and synthesis (2 papers), ATP Synthase and ATPases Research (2 papers), Metalloenzymes and iron-sulfur proteins (2 papers) and Synthetic Organic Chemistry Methods (2 papers). The work is most often cited by research in Toxicology (34 citations), Molecular Biology (515 citations), Computational Theory and Mathematics (103 citations), Physical and Theoretical Chemistry (48 citations) and Genetics (57 citations). Gary Brandt has collaborated with scholars based in United States. Frequent co-authors include Brian S. J. Blagg, Thomas E. Prisinzano, Matthew Schmidt, J. B. Wilson, T. H. J. Huisman, Bhaskar Reddy Kusuma, Huiping Zhao, Nicolas Carrasco, Zhen Huang and Alison C. Donnelly. Their work appears in journals such as Organic Letters, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Current Topics in Medicinal Chemistry.

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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