Martin J. Whitaker
- Biomaterials top 2%
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- Adrenal Hormones and Disorders 26
- Hormonal Regulation and Hypertension 10
- Hormonal and reproductive studies 9
- Pituitary Gland Disorders and Treatments 4
- Growth Hormone and Insulin-like Growth Factors 4
- Polymers and Plastics top 5%
- Polymer Foaming and Composites 9
- Pharmaceutical Science top 2%
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- Sexual Differentiation and Disorders 20
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- Phase Equilibria and Thermodynamics 9
- Co-authors
- Steven M. HowdleKevin M. ShakesheffRichard RossOwen R. DaviesRobin A. QuirkWiebke ArltAndrew L. LewisMiguel Debono
- Journals
- The Journal of Clinical Endocrinology & Metabolism (7 papers)Clinical Endocrinology (6 papers)European Journal of Endocrinology (4 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Martin J. Whitaker
50 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 146
- Process Chemistry and Technology 173
- Biomaterials 536
- Endocrinology, Diabetes and Metabolism 573
- Polymers and Plastics 474
- Pharmaceutical Science 165
Countries citing papers authored by Martin J. Whitaker
This map shows the geographic impact of Martin J. Whitaker'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 Martin J. Whitaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin J. Whitaker more than expected).
Fields of papers citing papers by Martin J. Whitaker
This network shows the impact of papers produced by Martin J. Whitaker. 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 Martin J. Whitaker. The network helps show where Martin J. Whitaker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin J. Whitaker, 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 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 16 | |
| 8 | 2018 | 8 | |
| 9 | 2018 | 13 | |
| 10 | 2018 | 54 | |
| 11 | 2017 | 42 | |
| 12 | 2017 | 41 | |
| 13 | 2017 | 13 | |
| 14 | 2016 | 43 | |
| 15 | 2016 | 8 | |
| 16 | 2014 | 24 | |
| 17 | 2014 | 106 | |
| 18 | 2011 | 23 | |
| 19 | 2007 | 227 | |
| 20 | 2004 | 107 |
About Martin J. Whitaker
Martin J. Whitaker is a scholar working on Endocrinology, Diabetes and Metabolism, Process Chemistry and Technology and Behavioral Neuroscience, having authored 50 papers that have together received 2.2k indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (26 papers), Sexual Differentiation and Disorders (20 papers), Hormonal Regulation and Hypertension (10 papers), Polymer Foaming and Composites (9 papers), Phase Equilibria and Thermodynamics (9 papers), Hormonal and reproductive studies (9 papers), Pituitary Gland Disorders and Treatments (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Process Chemistry and Technology (173 citations), Biomaterials (536 citations) and Endocrinology, Diabetes and Metabolism (573 citations). Martin J. Whitaker has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Steven M. Howdle, Kevin M. Shakesheff, Richard Ross, Owen R. Davies, Robin A. Quirk, Wiebke Arlt, Andrew L. Lewis, Miguel Debono, Hongyun Tai and В. К. Попов. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, European Journal of Endocrinology, International Journal of Pharmaceutics and Tissue Engineering.
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.