Troy Good

418 citations
8 papers · 374 · h-index 5

Impact in

Papers in

    • bioluminescence and chemiluminescence research 4
    • Receptor Mechanisms and Signaling 2
    • Glutathione Transferases and Polymorphisms 1
    • Biotin and Related Studies 3

Troy Good

8 papers receiving 366 citations

Peers

Troy Good
Comparison fields: 5 of 72
  • Pharmacology 90
  • Biochemistry 35
  • Biophysics 21
  • Cellular and Molecular Neuroscience 65
  • Molecular Biology 229
Replace Suman Rakhit with:
Suman Rakhit United States
Amy W. Veenhuizen United States
Patricia Caldera United States
Karl R. Gibson United Kingdom
Yoshiyuki Tsujihata Japan
Monica Singer United States
Russell C. Spreen United States
Peter Mohr Switzerland
Ghilsoo Nam South Korea
David J. Lapinsky United States
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Citations per field
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Citations per year

Countries citing papers authored by Troy Good

Since Specialization
Citations

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

Fields of papers citing papers by Troy Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2006151
2 200685
3 200658
4 200656
5 201115
6 20024
7
ONE-Glo ™ Luciferase Assay System: New Substrate, Better Reagent
20073
8
Bioluminescent Cytochrome P450 Assays.
20052

About Troy Good

Troy Good is a scholar working on Molecular Biology, Cell Biology, Pharmaceutical Science, Computational Theory and Mathematics and Pharmacology, having authored 8 papers that have together received 374 indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (4 papers), Biotin and Related Studies (3 papers), Computational Drug Discovery Methods (2 papers), Chemical Reactions and Isotopes (2 papers), Receptor Mechanisms and Signaling (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Estrogen and related hormone effects (1 paper) and Glutathione Transferases and Polymorphisms (1 paper). The work is most often cited by research in Pharmacology (90 citations), Biochemistry (35 citations), Biophysics (21 citations), Cellular and Molecular Neuroscience (65 citations) and Molecular Biology (229 citations). Troy Good has collaborated with scholars based in United States. Frequent co-authors include James J. Cali, Susan Frackman, Laurent Bernad, Dieter H. Klaubert, Keith V. Wood, Jian‐Quan Liu, Daniel J. Simpson, Dongping Ma, William J. Daily and Wenhui Zhou. Their work appears in journals such as BioTechniques, Journal of the American Chemical Society, Chemical Communications, Expert Opinion on Drug Metabolism & Toxicology and Analytical Biochemistry.

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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