Martin J. Whitaker
- Biomedical Engineering top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Biomaterials top 2%
- Molecular Biology
- Polymers and Plastics top 5%
- Co-authors
- Steven M. HowdleKevin M. ShakesheffRichard RossOwen R. DaviesRobin A. QuirkWiebke ArltAndrew L. LewisMiguel Debono
- Topics
- Adrenal Hormones and Disorders (26 papers)Sexual Differentiation and Disorders (20 papers)Hormonal Regulation and Hypertension (10 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
- Biomedical Engineering 858
- Endocrinology, Diabetes and Metabolism 573
- Biomaterials 536
- Molecular Biology 512
- Polymers and Plastics 474
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 of co-authors of Martin J. Whitaker
This figure shows the co-authorship network connecting the top 25 collaborators of Martin J. Whitaker. A scholar is included among the top collaborators of Martin J. Whitaker 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 Martin J. Whitaker. Martin J. Whitaker 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 | 2 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 54 | |
| 11 | 42 | |
| 12 | 41 | |
| 13 | 13 | |
| 14 | 43 | |
| 15 | 8 | |
| 16 | 24 | |
| 17 | 106 | |
| 18 | 23 | |
| 19 | 227 | |
| 20 | 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) and Hormonal Regulation and Hypertension (10 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 Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.
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.