Danielle Hiam
Impact in
- Reproductive Medicine top 2%
- Ovarian function and disorders
- Ovarian cancer diagnosis and treatment
Papers in
- Physiology 13
- Adipose Tissue and Metabolism 8
- Nutrition and Health in Aging 4
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- Ovarian function and disorders 11
- Co-authors
- Helena Teede (10 shared papers)Lisa Moran (7 shared papers)Nir Eynon (17 shared papers)Nigel K. Stepto (11 shared papers)Sarah Voisin (14 shared papers)Alba Moreno‐Asso (8 shared papers)Chau Thien Tay (3 shared papers)Macsue Jacques (13 shared papers)
- Journals
- The Journal of Physiology (4 papers)Bone (4 papers)European Journal of Sport Science (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)European Journal of Applied Physiology (2 papers)
- Partner nations
- AustraliaUnited KingdomDenmark
In The Last Decade
Danielle Hiam
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Reproductive Medicine 346
- Orthopedics and Sports Medicine 95
- Rehabilitation 73
- Aging 17
- Physiology 229
Countries citing papers authored by Danielle Hiam
This map shows the geographic impact of Danielle Hiam'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 Danielle Hiam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Hiam more than expected).
Fields of papers citing papers by Danielle Hiam
This network shows the impact of papers produced by Danielle Hiam. 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 Danielle Hiam. The network helps show where Danielle Hiam may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Hiam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 122 | |
| 2 | 2019 | 86 | |
| 3 | 2019 | 79 | |
| 4 | 2018 | 63 | |
| 5 | 2018 | 62 | |
| 6 | 2013 | 57 | |
| 7 | 2018 | 48 | |
| 8 | 2017 | 39 | |
| 9 | 2020 | 38 | |
| 10 | 2023 | 36 | |
| 11 | 2019 | 35 | |
| 12 | 2017 | 33 | |
| 13 | 2018 | 33 | |
| 14 | 2021 | 32 | |
| 15 | 2019 | 30 | |
| 16 | 2020 | 30 | |
| 17 | 2020 | 29 | |
| 18 | 2022 | 23 | |
| 19 | 2022 | 22 | |
| 20 | 2018 | 20 |
About Danielle Hiam
Danielle Hiam is a scholar working on Physiology, Reproductive Medicine, Molecular Biology, Rehabilitation and Genetics, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ovarian function and disorders (11 papers), Adipose Tissue and Metabolism (8 papers), Muscle Physiology and Disorders (6 papers), Genetics and Physical Performance (5 papers), Exercise and Physiological Responses (5 papers), Muscle metabolism and nutrition (4 papers), Nutrition and Health in Aging (4 papers) and Cardiovascular and exercise physiology (4 papers). The work is most often cited by research in Reproductive Medicine (346 citations), Orthopedics and Sports Medicine (95 citations), Rehabilitation (73 citations), Aging (17 citations) and Physiology (229 citations). Danielle Hiam has collaborated with scholars based in Australia, United Kingdom and Denmark. Frequent co-authors include Helena Teede, Lisa Moran, Nir Eynon, Nigel K. Stepto, Sarah Voisin, Alba Moreno‐Asso, Chau Thien Tay, Macsue Jacques, Séverine Lamon and Glenn K. McConell. Their work appears in journals such as The Journal of Physiology, Bone, European Journal of Sport Science, The Journal of Clinical Endocrinology & Metabolism and European Journal of Applied Physiology.
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.