Andrew T. Kicman

4.9k citations
90 papers · 3.5k indexed · h-index 31

Andrew T. Kicman

89 papers receiving 3.3k citations

Peers

Andrew T. Kicman
Comparison fields: 5 of 138
  • Toxicology 758
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Animal Science and Zoology 529
  • Cell Biology 685
  • Pharmacology 564
Replace Francesco Botrè with:
Francesco Botrè Italy
Hans Geyer Germany
Andreas Thomas Germany
F.T. Delbeke Belgium
Don H. Catlin United States
Jordi Segura Spain
Detlef Thieme Germany
Mark M. Kushnir United States
Vincent Cirimele France
Hans Sachs Germany
Andrew T. Kicman relative to Francesco Botrè Italy Francesco Botrè's profile →
Citations per field
00.5×1.5×
Francesco Botrè · 1×
Citations per year

Countries citing papers authored by Andrew T. Kicman

Since Specialization
Citations

This map shows the geographic impact of Andrew T. Kicman'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 T. Kicman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew T. Kicman more than expected).

Fields of papers citing papers by Andrew T. Kicman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201911
2 201817
3 201730
4 20166
5 201216
6 201184
7 201028
8 200914
9 200813
10 200812
11 200816
12 2008428
13 200710
14 200438
15
The influence of a tertiary component on the in vivo disposition of salbutamol isomers aerosolised from a dry powder inhaler formulation
20015
16 19985
17 19972
18 199721
19
Developing an Immunoassay for the anabolic steroid stanazolol
19952
20 199140

About Andrew T. Kicman

Andrew T. Kicman is a scholar working on Toxicology, Endocrinology, Diabetes and Metabolism and Animal Science and Zoology, having authored 90 papers that have together received 3.5k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (43 papers), Forensic Toxicology and Drug Analysis (27 papers), Pharmacological Effects and Assays (18 papers), Muscle metabolism and nutrition (17 papers), Mass Spectrometry Techniques and Applications (13 papers), Analytical Chemistry and Chromatography (10 papers), Psychedelics and Drug Studies (10 papers) and Pharmacology and Obesity Treatment (8 papers). The work is most often cited by research in Toxicology (758 citations), Endocrinology, Diabetes and Metabolism (1.8k citations) and Animal Science and Zoology (529 citations). Andrew T. Kicman has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David J. Neep, Christopher J. Walker, Mark C. Parkin, Anthony Leeds, Thomas Bassindale, D.B. Gower, Andrew Hutt, Sara E. C. Dale, H. Geyer and Ute Mareck. Their work appears in journals such as Analytical Chemistry, The Journal of Clinical Endocrinology & Metabolism and Annals of the New York Academy of Sciences.

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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