Danielle Hiam

1.7k total citations
46 papers, 1.1k citations indexed

About

Danielle Hiam is a scholar working on Physiology, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Danielle Hiam has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 12 papers in Reproductive Medicine and 10 papers in Molecular Biology. Recurrent topics in Danielle Hiam's work include Ovarian function and disorders (11 papers), Muscle metabolism and nutrition (10 papers) and Adipose Tissue and Metabolism (10 papers). Danielle Hiam is often cited by papers focused on Ovarian function and disorders (11 papers), Muscle metabolism and nutrition (10 papers) and Adipose Tissue and Metabolism (10 papers). Danielle Hiam collaborates with scholars based in Australia, United Kingdom and Denmark. Danielle Hiam's co-authors include Helena Teede, Lisa Moran, Nir Eynon, Nigel K. Stepto, Sarah Voisin, Alba Moreno‐Asso, Chau Thien Tay, Macsue Jacques, Glenn K. McConell and Séverine Lamon and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and The Journal of Physiology.

In The Last Decade

Danielle Hiam

44 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danielle Hiam Australia 20 348 273 263 244 135 46 1.1k
Rebecca V. Vince United Kingdom 20 130 0.4× 324 1.2× 61 0.2× 157 0.6× 78 0.6× 52 1.1k
Carina Ankarberg‐Lindgren Sweden 17 310 0.9× 130 0.5× 108 0.4× 551 2.3× 419 3.1× 39 1.1k
Monia Zaouali Tunisia 19 48 0.1× 572 2.1× 143 0.5× 121 0.5× 137 1.0× 62 1.3k
Erick Richmond United States 14 85 0.2× 186 0.7× 136 0.5× 183 0.8× 164 1.2× 22 957
David A. Lenrow United States 14 171 0.5× 238 0.9× 166 0.6× 317 1.3× 87 0.6× 30 1.9k
Galia Gat‐Yablonski Israel 22 192 0.6× 341 1.2× 130 0.5× 382 1.6× 308 2.3× 66 1.4k
Lam P Ly Australia 18 375 1.1× 90 0.3× 114 0.4× 374 1.5× 141 1.0× 26 1.4k
Leslie I. Rose United States 21 254 0.7× 124 0.5× 149 0.6× 301 1.2× 93 0.7× 71 1.3k
Gabriel Ángel Martos‐Moreno Spain 26 105 0.3× 434 1.6× 204 0.8× 523 2.1× 290 2.1× 118 1.9k
Georgia Colleluori Italy 18 49 0.1× 614 2.2× 53 0.2× 299 1.2× 61 0.5× 42 1.1k

Countries citing papers authored by Danielle Hiam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Danielle Hiam

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Hiam. A scholar is included among the top collaborators of Danielle Hiam 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 Danielle Hiam. Danielle Hiam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Fuchs, Cas J., et al.. (2025). The contribution of age and sex hormones to female neuromuscular function across the adult lifespan. The Journal of Physiology. 604(2). 829–848. 2 indexed citations
3.
Jansons, Paul, Paul A. Della Gatta, Andrew Garnham, et al.. (2024). Bioavailable testosterone and androgen receptor activation, but not total testosterone, are associated with muscle mass and strength in females. The Journal of Physiology. 603(18). 5181–5208. 12 indexed citations
4.
Hiam, Danielle, et al.. (2024). Single-session measures of quadriceps neuromuscular function are reliable in healthy females and unaffected by age. European Journal of Applied Physiology. 124(6). 1719–1732. 4 indexed citations
5.
Saner, Nicholas J., Adam J. Trewin, Spencer Roberts, et al.. (2024). The interactive effect of sustained sleep restriction and resistance exercise on skeletal muscle transcriptomics in young females. Physiological Genomics. 56(7). 506–518. 1 indexed citations
6.
7.
Patten, Rhiannon K., Luke C. McIlvenna, Alba Moreno‐Asso, et al.. (2023). Efficacy of high-intensity interval training for improving mental health and health-related quality of life in women with polycystic ovary syndrome. Scientific Reports. 13(1). 3025–3025. 13 indexed citations
8.
Lamon, Séverine, et al.. (2022). The effect of the menstrual cycle on the circulating microRNA pool in human plasma: a pilot study. Human Reproduction. 38(1). 46–56. 9 indexed citations
9.
Seale, Kirsten, Macsue Jacques, Sarah Voisin, et al.. (2021). Genetic variants within the COL5A1 gene are associated with ligament injuries in physically active populations from Australia, South Africa, and Japan. European Journal of Sport Science. 23(2). 284–293. 12 indexed citations
10.
Hiam, Danielle & Séverine Lamon. (2020). Circulating microRNAs: let’s not waste the potential. American Journal of Physiology-Cell Physiology. 319(2). C313–C315. 5 indexed citations
11.
Voisin, Sarah, et al.. (2020). Mapping Robust Genetic Variants Associated with Exercise Responses. International Journal of Sports Medicine. 42(1). 3–18. 14 indexed citations
12.
Smith, Cassandra, Sarah Voisin, Ahmed Al Saedi, et al.. (2019). Osteocalcin and its forms across the lifespan in adult men. Bone. 130. 115085–115085. 34 indexed citations
13.
Jacques, Macsue, Danielle Hiam, Jeffrey M. Craig, et al.. (2019). Epigenetic changes in healthy human skeletal muscle following exercise– a systematic review. Epigenetics. 14(7). 633–648. 74 indexed citations
14.
Hiam, Danielle, David Simar, Rhianna C. Laker, et al.. (2019). Epigenetic Reprogramming of Immune Cells in Women With PCOS Impact Genes Controlling Reproductive Function. The Journal of Clinical Endocrinology & Metabolism. 104(12). 6155–6170. 25 indexed citations
15.
Hiam, Danielle, Sarah Voisin, Xu Yan, et al.. (2019). The association between bone mineral density gene variants and osteocalcin at baseline, and in response to exercise: The Gene SMART study. Bone. 123. 23–27. 12 indexed citations
16.
Coso, Juan Del, Danielle Hiam, Peter J. Houweling, et al.. (2018). More than a ‘speed gene’: ACTN3 R577X genotype, trainability, muscle damage, and the risk for injuries. European Journal of Applied Physiology. 119(1). 49–60. 59 indexed citations
17.
Tay, Chau Thien, et al.. (2018). Comorbidities and complications of polycystic ovary syndrome: An overview of systematic reviews. Clinical Endocrinology. 89(6). 683–699. 111 indexed citations
18.
Tay, Chau Thien, Anju E. Joham, Danielle Hiam, et al.. (2018). Pharmacological and surgical treatment of nonreproductive outcomes in polycystic ovary syndrome: An overview of systematic reviews. Clinical Endocrinology. 89(5). 535–553. 18 indexed citations
19.
Zhang, Xinmei, Danielle Hiam, Yet Hoi Hong, et al.. (2017). Nitric oxide is required for the insulin sensitizing effects of contraction in mouse skeletal muscle. The Journal of Physiology. 595(24). 7427–7439. 7 indexed citations
20.
Abell, Sally K., Soulmaz Shorakae, Cheryce L. Harrison, et al.. (2017). The association between dysregulated adipocytokines in early pregnancy and development of gestational diabetes. Diabetes/Metabolism Research and Reviews. 33(8). 39 indexed citations

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.

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