Valentine M. Macaulay
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- Growth Hormone and Insulin-like Growth Factors 30
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 14
- Oncology top 2%
- Cancer-related Molecular Pathways 8
- Cancer Cells and Metastasis 4
- Molecular Biology top 2%
- Metabolism, Diabetes, and Cancer 13
- PI3K/AKT/mTOR signaling in cancer 9
- DNA Repair Mechanisms 5
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- Prostate Cancer Treatment and Research 6
- Co-authors
- Johann RiedemannAndrew ProtheroeJ.S.P. YuenMartin P. PlayfordMeenali ChitnisSimon BrewsterErin A. BohulaGiles Hellawell
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (1 paper)
- 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
- Endocrinology, Diabetes and Metabolism 1.7k
- Cancer Research 1.3k
- Oncology 1.3k
- Molecular Biology 2.9k
- 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
The 25 scholars most cited alongside Valentine M. Macaulay, 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 | 2023 | 3 | |
| 2 | 2021 | 9 | |
| 3 | 2019 | 38 | |
| 4 | 2019 | 5 | |
| 5 | 2018 | 50 | |
| 6 | 2017 | 22 | |
| 7 | 2017 | 125 | |
| 8 | 2016 | 31 | |
| 9 | 2015 | 224 | |
| 10 | 2012 | 35 | |
| 11 | 2012 | 37 | |
| 12 | 2010 | 169 | |
| 13 | 2009 | 13 | |
| 14 | 2008 | 94 | |
| 15 | 2007 | 75 | |
| 16 | 2004 | 93 | |
| 17 | 1995 | 21 | |
| 18 | 1994 | 29 | |
| 19 | Insulin-like growth factors and cancerbreakdown → | 1992 | 513 |
| 20 | 1990 | 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), Metabolism, Diabetes, and Cancer (13 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Cancer-related Molecular Pathways (8 papers), Prostate Cancer Treatment and Research (6 papers), DNA Repair Mechanisms (5 papers) and Cancer Cells and Metastasis (4 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.