Jane F Armstrong
- Molecular Biology top 5%
- Oncology top 5%
- Cellular and Molecular Neuroscience top 5%
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Jamie A. DaviesSimon D HardingElena FaccendaS P H AlexanderChristopher SouthanAdam J PawsonAlistair MathieEamonn Kelly
- Topics
- Renal and related cancers (6 papers)Computational Drug Discovery Methods (4 papers)Pharmacological Receptor Mechanisms and Effects (4 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Jane F Armstrong
28 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 2.2k
- Oncology 604
- Cellular and Molecular Neuroscience 561
- Immunology 465
- Pulmonary and Respiratory Medicine 373
Countries citing papers authored by Jane F Armstrong
This map shows the geographic impact of Jane F Armstrong'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 Jane F Armstrong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane F Armstrong more than expected).
Fields of papers citing papers by Jane F Armstrong
This network shows the impact of papers produced by Jane F Armstrong. 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 Jane F Armstrong. The network helps show where Jane F Armstrong may publish in the future.
Co-authorship network of co-authors of Jane F Armstrong
This figure shows the co-authorship network connecting the top 25 collaborators of Jane F Armstrong. A scholar is included among the top collaborators of Jane F Armstrong 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 Jane F Armstrong. Jane F Armstrong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 56 | |
| 3 | The IUPHAR/BPS Guide to PHARMACOLOGY in 2024breakdown → | 103 |
| 4 | 102 | |
| 5 | 105 | |
| 6 | 49 | |
| 7 | THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Enzymesbreakdown → | 485 |
| 8 | 209 | |
| 9 | 0 | |
| 10 | 187 | |
| 11 | 148 | |
| 12 | THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: G protein‐coupled receptorsbreakdown → | 639 |
| 13 | THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Ion channelsbreakdown → | 291 |
| 14 | THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: Introduction and Other Protein Targetsbreakdown → | 397 |
| 15 | 14 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 17 | |
| 19 | 384 | |
| 20 | 41 |
About Jane F Armstrong
Jane F Armstrong is a scholar working on Pharmacology, Urology and Toxicology, having authored 30 papers that have together received 4.3k indexed citations. Recurring topics across this work include Renal and related cancers (6 papers), Computational Drug Discovery Methods (4 papers) and Pharmacological Receptor Mechanisms and Effects (4 papers). The work is most often cited by research in Virology (194 citations), Molecular Biology (2.2k citations) and Cellular and Molecular Neuroscience (561 citations). Jane F Armstrong has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Jamie A. Davies, Simon D Harding, Elena Faccenda, S P H Alexander, Christopher Southan, Adam J Pawson, Alistair Mathie, Eamonn Kelly, Joanna L Sharman and Emma L. Veale. Their work appears in journals such as The Lancet, Nucleic Acids Research and Development.
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.