David R. Grattan
- Endocrine and Autonomic Systems top 0.1%
- Regulation of Appetite and Obesity 61
- Behavioral Neuroscience top 0.2%
- Stress Responses and Cortisol 30
- Reproductive Medicine top 0.1%
- Hypothalamic control of reproductive hormones 83
- Ovarian function and disorders 15
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- Growth Hormone and Insulin-like Growth Factors 51
- Social Psychology top 0.5%
- Neuroendocrine regulation and behavior 67
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- Biochemical Analysis and Sensing Techniques 16
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- Adipose Tissue and Metabolism 14
- Co-authors
- Sharon R. LadymanIlona C. KokayRachael A. AugustineGreg M. AndersonRosemary S. E. BrownCaroline M. LarsenAllan E. HerbisonMichael Selmanoff
- Journals
- Journal of Neuroendocrinology (46 papers)Endocrinology (39 papers)Journal of Neuroscience (8 papers)
- Partner nations
- New ZealandUnited StatesGermany
In The Last Decade
David R. Grattan
191 papers receiving 7.9k citations
Peers
Comparison fields: 5 of 123
- Endocrine and Autonomic Systems 2.6k
- Behavioral Neuroscience 1.1k
- Reproductive Medicine 2.7k
- Endocrinology, Diabetes and Metabolism 2.0k
- Social Psychology 2.2k
Countries citing papers authored by David R. Grattan
This map shows the geographic impact of David R. Grattan'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 David R. Grattan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Grattan more than expected).
Fields of papers citing papers by David R. Grattan
This network shows the impact of papers produced by David R. Grattan. 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 David R. Grattan. The network helps show where David R. Grattan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David R. Grattan, 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 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 13 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 23 | |
| 8 | 2020 | 20 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 4 | |
| 11 | 2019 | 34 | |
| 12 | 2018 | 26 | |
| 13 | 2017 | 41 | |
| 14 | 2011 | 8 | |
| 15 | 2006 | 48 | |
| 16 | 2002 | 96 | |
| 17 | 2001 | 144 | |
| 18 | 1999 | 83 | |
| 19 | 1996 | 10 | |
| 20 | 1996 | 35 |
About David R. Grattan
David R. Grattan is a scholar working on Reproductive Medicine, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 193 papers that have together received 8.0k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (83 papers), Neuroendocrine regulation and behavior (67 papers), Regulation of Appetite and Obesity (61 papers), Growth Hormone and Insulin-like Growth Factors (51 papers), Stress Responses and Cortisol (30 papers), Biochemical Analysis and Sensing Techniques (16 papers), Ovarian function and disorders (15 papers) and Adipose Tissue and Metabolism (14 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.6k citations), Behavioral Neuroscience (1.1k citations) and Reproductive Medicine (2.7k citations). David R. Grattan has collaborated with scholars based in New Zealand, United States and Germany. Frequent co-authors include Sharon R. Ladyman, Ilona C. Kokay, Rachael A. Augustine, Greg M. Anderson, Rosemary S. E. Brown, Caroline M. Larsen, Allan E. Herbison, Michael Selmanoff, Xiujun Pi and Stephen J. Bunn. Their work appears in journals such as Journal of Neuroendocrinology, Endocrinology, Journal of Neuroscience, Brain Research and The FASEB Journal.
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.