Andrew T. Kicman
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Toxicology top 0.1%
- Cell Biology top 2%
- Pharmacology top 2%
- Co-authors
- David J. NeepChristopher J. WalkerMark C. ParkinAnthony LeedsThomas BassindaleD.B. GowerAndrew HuttSara E. C. Dale
- Topics
- Hormonal and reproductive studies (43 papers)Forensic Toxicology and Drug Analysis (27 papers)Pharmacological Effects and Assays (18 papers)
- Journals
- Analytical ChemistryThe Journal of Clinical Endocrinology & MetabolismAnnals of the New York Academy of Sciences
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Andrew T. Kicman
89 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 138
- Endocrinology, Diabetes and Metabolism 1.8k
- Molecular Biology 768
- Toxicology 758
- Cell Biology 685
- Pharmacology 564
Countries citing papers authored by Andrew T. Kicman
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
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 of co-authors of Andrew T. Kicman
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew T. Kicman. A scholar is included among the top collaborators of Andrew T. Kicman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew T. Kicman. Andrew T. Kicman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 17 | |
| 3 | 30 | |
| 4 | 6 | |
| 5 | 16 | |
| 6 | 84 | |
| 7 | 28 | |
| 8 | 14 | |
| 9 | 13 | |
| 10 | 12 | |
| 11 | 16 | |
| 12 | 428 | |
| 13 | 10 | |
| 14 | 38 | |
| 15 | The influence of a tertiary component on the in vivo disposition of salbutamol isomers aerosolised from a dry powder inhaler formulation | 5 |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 21 | |
| 19 | Developing an Immunoassay for the anabolic steroid stanazolol | 2 |
| 20 | 40 |
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) and Pharmacological Effects and Assays (18 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.