Gareth Morgan
- Molecular Biology
- Pharmacology top 2%
- Oncology top 10%
- Cancer Research top 10%
- Surgery
- Co-authors
- P C ElwoodLuis A. J. MurAlison GallagherGarry G. DuthieAnn C. WilliamsJanet PickeringHai Rim ShinHarri Vainio
- Topics
- Inflammatory mediators and NSAID effects (26 papers)Antiplatelet Therapy and Cardiovascular Diseases (17 papers)Wnt/β-catenin signaling in development and cancer (7 papers)
- Journals
- The LancetBloodPLoS ONE
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Gareth Morgan
71 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 656
- Pharmacology 454
- Oncology 331
- Cancer Research 268
- Surgery 187
Countries citing papers authored by Gareth Morgan
This map shows the geographic impact of Gareth Morgan'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 Gareth Morgan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gareth Morgan more than expected).
Fields of papers citing papers by Gareth Morgan
This network shows the impact of papers produced by Gareth Morgan. 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 Gareth Morgan. The network helps show where Gareth Morgan may publish in the future.
Co-authorship network of co-authors of Gareth Morgan
This figure shows the co-authorship network connecting the top 25 collaborators of Gareth Morgan. A scholar is included among the top collaborators of Gareth Morgan 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 Gareth Morgan. Gareth Morgan 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 | 31 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 35 | |
| 6 | 32 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 117 | |
| 10 | 36 | |
| 11 | Prevalence of non-functional overreaching and the overtraining syndrome in Swiss elite athletes | 17 |
| 12 | 12 | |
| 13 | The more it hurts, the better it works? Chemotherapy toxicity as a predictor of outcome from osteosarcoma: a report from the European Osteosarcoma Intergroup. | 1 |
| 14 | 9 | |
| 15 | 14 | |
| 16 | A survey of aspirin use for vascular prophylaxis in Wales | 2 |
| 17 | 24 | |
| 18 | 3 | |
| 19 | Non-steroidal anti-inflammatory drugs and chemoprevention of cancer. | 15 |
| 20 | The Cancer-Preventive Potential of Panax ginseng - A Review of Human and Experimental Evidence - | 9 |
About Gareth Morgan
Gareth Morgan is a scholar working on Pharmacology, Applied Microbiology and Biotechnology and Cardiology and Cardiovascular Medicine, having authored 79 papers that have together received 1.7k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (26 papers), Antiplatelet Therapy and Cardiovascular Diseases (17 papers) and Wnt/β-catenin signaling in development and cancer (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (68 citations), Molecular Medicine (134 citations) and Pharmacology (454 citations). Gareth Morgan has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include P C Elwood, Luis A. J. Mur, Alison Gallagher, Garry G. Duthie, Ann C. Williams, Janet Pickering, Hai Rim Shin, Harri Vainio, Taik Koo Yun and Harri Vainio. Their work appears in journals such as The Lancet, Blood and PLoS ONE.
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.