Tanya Coleman
- Molecular Biology
- Oncology top 10%
- Organic Chemistry
- Pharmacology top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Iain S. HaslamPaul R. GavineTeresa KlinowskaElaine KilgourDawn BakerAndrew P. ThomasLorraine MooneyKatherine Al-Kadhimi
- Topics
- Drug Transport and Resistance Mechanisms (9 papers)Pharmacological Effects and Toxicity Studies (6 papers)Inflammatory mediators and NSAID effects (6 papers)
- Journals
- Journal of Clinical OncologyCancer ResearchJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United KingdomFranceSingapore
In The Last Decade
Tanya Coleman
28 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 589
- Oncology 282
- Organic Chemistry 147
- Pharmacology 141
- Cellular and Molecular Neuroscience 131
Countries citing papers authored by Tanya Coleman
This map shows the geographic impact of Tanya Coleman'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 Tanya Coleman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanya Coleman more than expected).
Fields of papers citing papers by Tanya Coleman
This network shows the impact of papers produced by Tanya Coleman. 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 Tanya Coleman. The network helps show where Tanya Coleman may publish in the future.
Co-authorship network of co-authors of Tanya Coleman
This figure shows the co-authorship network connecting the top 25 collaborators of Tanya Coleman. A scholar is included among the top collaborators of Tanya Coleman 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 Tanya Coleman. Tanya Coleman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | AZD4547: An Orally Bioavailable, Potent, and Selective Inhibitor of the Fibroblast Growth Factor Receptor Tyrosine Kinase Familybreakdown → | 415 |
| 2 | 2 | |
| 3 | 48 | |
| 4 | 50 | |
| 5 | 22 | |
| 6 | 26 | |
| 7 | 5 | |
| 8 | 30 | |
| 9 | 56 | |
| 10 | 9 | |
| 11 | 38 | |
| 12 | 35 | |
| 13 | 9 | |
| 14 | 21 | |
| 15 | 16 | |
| 16 | 12 | |
| 17 | 20 | |
| 18 | 42 | |
| 19 | 16 | |
| 20 | 76 |
About Tanya Coleman
Tanya Coleman is a scholar working on Pharmacology, Cellular and Molecular Neuroscience and Oncology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (9 papers), Pharmacological Effects and Toxicity Studies (6 papers) and Inflammatory mediators and NSAID effects (6 papers). The work is most often cited by research in Pharmacology (115 citations), Oncology (282 citations) and Molecular Biology (589 citations). Tanya Coleman has collaborated with scholars based in United Kingdom, France and Singapore. Frequent co-authors include Iain S. Haslam, Paul R. Gavine, Teresa Klinowska, Elaine Kilgour, Dawn Baker, Andrew P. Thomas, Lorraine Mooney, Katherine Al-Kadhimi, Sarah Beck and Martine J. Mellor. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research and Journal of Pharmacology and Experimental Therapeutics.
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.