Graeme Archer
Impact in
- Psychiatry and Mental health top 10%
- Schizophrenia research and treatment
- Bipolar Disorder and Treatment
Papers in
-
- Statistical Methods in Clinical Trials 4
- Advanced Causal Inference Techniques 3
- Advanced Statistical Methods and Models 2
-
- Receptor Mechanisms and Signaling 2
- Co-authors
- Christy Chuang‐Stein (1 shared paper)Donald Archibald (1 shared paper)Andrew C. Leon (1 shared paper)Craig Mallinckrodt (1 shared paper)Stefano Zamuner (4 shared papers)Emiliangelo Ratti (4 shared papers)David G. Trist (3 shared papers)Lisa Squassante (2 shared papers)
- Journals
- Alternatives to Laboratory Animals (3 papers)Journal of Psychopharmacology (2 papers)Statistics in Biopharmaceutical Research (2 papers)Water Air & Soil Pollution (1 paper)Biological Psychiatry (1 paper)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Graeme Archer
15 papers receiving 476 citations
Peers
Comparison fields: 5 of 91
- Psychiatry and Mental health 183
- Biological Psychiatry 26
- Behavioral Neuroscience 19
- Small Animals 37
- Pharmacology 84
Countries citing papers authored by Graeme Archer
This map shows the geographic impact of Graeme Archer'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 Graeme Archer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graeme Archer more than expected).
Fields of papers citing papers by Graeme Archer
This network shows the impact of papers produced by Graeme Archer. 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 Graeme Archer. The network helps show where Graeme Archer may publish in the future.
Co-authors
The 25 scholars most cited alongside Graeme Archer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 231 | |
| 2 | 2013 | 55 | |
| 3 | 2011 | 53 | |
| 4 | 2013 | 34 | |
| 5 | 1996 | 34 | |
| 6 | 1999 | 25 | |
| 7 | 2011 | 19 | |
| 8 | 2000 | 15 | |
| 9 | 1997 | 9 | |
| 10 | 2021 | 5 | |
| 11 | 1996 | 3 | |
| 12 | 1998 | 2 | |
| 13 | 2016 | 1 | |
| 14 | 1997 | 1 | |
| 15 | On Some BayesianRegularization Methods for Image Restoration | 1995 | 1 |
About Graeme Archer
Graeme Archer is a scholar working on Statistics and Probability, Molecular Biology, Small Animals, Pharmacology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 488 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), Advanced Causal Inference Techniques (3 papers), Diverse Scientific and Engineering Research (2 papers), Animal testing and alternatives (2 papers), Neuropeptides and Animal Physiology (2 papers), Advanced Statistical Methods and Models (2 papers), Receptor Mechanisms and Signaling (2 papers) and Treatment of Major Depression (2 papers). The work is most often cited by research in Psychiatry and Mental health (183 citations), Biological Psychiatry (26 citations), Behavioral Neuroscience (19 citations), Small Animals (37 citations) and Pharmacology (84 citations). Graeme Archer has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Christy Chuang‐Stein, Donald Archibald, Andrew C. Leon, Craig Mallinckrodt, Stefano Zamuner, Emiliangelo Ratti, David G. Trist, Lisa Squassante, Robert Alexander and P. Bettica. Their work appears in journals such as Alternatives to Laboratory Animals, Journal of Psychopharmacology, Statistics in Biopharmaceutical Research, Water Air & Soil Pollution and Biological Psychiatry.
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.