Valentine M. Macaulay
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cancer Research top 1%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Johann RiedemannAndrew ProtheroeJ.S.P. YuenMartin P. PlayfordMeenali ChitnisSimon BrewsterErin A. BohulaGiles Hellawell
- Topics
- Growth Hormone and Insulin-like Growth Factors (30 papers)Cancer, Hypoxia, and Metabolism (14 papers)Metabolism, Diabetes, and Cancer (13 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Valentine M. Macaulay
72 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 2.9k
- Endocrinology, Diabetes and Metabolism 1.7k
- Cancer Research 1.3k
- Oncology 1.3k
- Pulmonary and Respiratory Medicine 626
Countries citing papers authored by Valentine M. Macaulay
This map shows the geographic impact of Valentine M. Macaulay'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 Valentine M. Macaulay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentine M. Macaulay more than expected).
Fields of papers citing papers by Valentine M. Macaulay
This network shows the impact of papers produced by Valentine M. Macaulay. 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 Valentine M. Macaulay. The network helps show where Valentine M. Macaulay may publish in the future.
Co-authorship network of co-authors of Valentine M. Macaulay
This figure shows the co-authorship network connecting the top 25 collaborators of Valentine M. Macaulay. A scholar is included among the top collaborators of Valentine M. Macaulay 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 Valentine M. Macaulay. Valentine M. Macaulay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 38 | |
| 4 | 5 | |
| 5 | 50 | |
| 6 | 22 | |
| 7 | 125 | |
| 8 | 31 | |
| 9 | 224 | |
| 10 | 35 | |
| 11 | 37 | |
| 12 | 169 | |
| 13 | 13 | |
| 14 | 94 | |
| 15 | 75 | |
| 16 | 93 | |
| 17 | 21 | |
| 18 | 29 | |
| 19 | Insulin-like growth factors and cancerbreakdown → | 513 |
| 20 | 86 |
About Valentine M. Macaulay
Valentine M. Macaulay is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Oncology, having authored 73 papers that have together received 4.5k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (30 papers), Cancer, Hypoxia, and Metabolism (14 papers) and Metabolism, Diabetes, and Cancer (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Cancer Research (1.3k citations) and Oncology (1.3k citations). Valentine M. Macaulay has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Johann Riedemann, Andrew Protheroe, J.S.P. Yuen, Martin P. Playford, Meenali Chitnis, Simon Brewster, Erin A. Bohula, Giles Hellawell, Gareth D. H. Turner and Tamara Aleksic. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.