Andrew Hutt

666 citations
7 papers · 567 · h-index 3

Impact in

Papers in

Andrew Hutt

6 papers receiving 529 citations

Peers

Andrew Hutt
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 359
  • Animal Science and Zoology 135
  • Toxicology 39
  • Cell Biology 142
  • Spectroscopy 126
Replace Brian Ahrens with:
Brian Ahrens United States
Gregor Fußhöller Germany
Wim Van Gansbeke Belgium
Mônica Costa Padilha Brazil
Cristiana Colamonici Italy
Jianghai Lu China
Michaël Polet Belgium
M. C. Dumasia United Kingdom
Ariadni Vonaparti Greece
Clive M. Pearce United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Andrew Hutt

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Hutt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Andrew Hutt, 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 Andrew Hutt Line = papers co-authored together Andrew Hutt links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Recent Advances in Doping Analysis
2002473
2 199688
3
Chirality in drug design and development
20042
4
The action of MDMA ('ecstacy') on neurohypophysial hormone release in vitro
20001
5
An evaluation of the usability of a human factors based requirements capture methodology
19901
6
User Interface
19931
7
Stereoselective and metabolite-mediated antiproliferative effects of non-steroidal anti-inflammatory drugs
20021

About Andrew Hutt

Andrew Hutt is a scholar working on Organic Chemistry, Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience and Clinical Psychology, having authored 7 papers that have together received 567 indexed citations. Recurring topics across this work include Synthesis of β-Lactam Compounds (2 papers), Psychedelics and Drug Studies (1 paper), Software Engineering Techniques and Practices (1 paper), Muscle metabolism and nutrition (1 paper), Steroid Chemistry and Biochemistry (1 paper), Computational Drug Discovery Methods (1 paper), Forensic Toxicology and Drug Analysis (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (359 citations), Animal Science and Zoology (135 citations), Toxicology (39 citations), Cell Biology (142 citations) and Spectroscopy (126 citations). Andrew Hutt has collaborated with scholars based in United Kingdom. Frequent co-authors include Anthony Leeds, Thomas Bassindale, Sara E. C. Dale, Ute Mareck, Andrew T. Kicman, H. Geyer, David J. Neep, Bhavesh Patel, John K. Fallon and Linda Macaulay. Their work appears in journals such as Journal of Antimicrobial Chemotherapy and Journal of Endocrinology.

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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