Benjamin H. Mullin

3.2k total citations
40 papers, 654 citations indexed

About

Benjamin H. Mullin is a scholar working on Molecular Biology, Orthopedics and Sports Medicine and Genetics. According to data from OpenAlex, Benjamin H. Mullin has authored 40 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Orthopedics and Sports Medicine and 12 papers in Genetics. Recurrent topics in Benjamin H. Mullin's work include Bone Metabolism and Diseases (17 papers), Bone health and osteoporosis research (13 papers) and Genetic Associations and Epidemiology (7 papers). Benjamin H. Mullin is often cited by papers focused on Bone Metabolism and Diseases (17 papers), Bone health and osteoporosis research (13 papers) and Genetic Associations and Epidemiology (7 papers). Benjamin H. Mullin collaborates with scholars based in Australia, United Kingdom and China. Benjamin H. Mullin's co-authors include Scott G. Wilson, Frank Dudbridge, Richard L. Prince, Jiake Xu, Tim D. Spector, John P. Walsh, Suzanne J. Brown, Ian M. Dick, Amanda Devine and Amirul Islam and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Benjamin H. Mullin

39 papers receiving 644 citations

Peers

Benjamin H. Mullin
Robert Kalak Australia
Kay Rasmussen United States
Anne-Marie Hedge United States
Ben‐hua Sun United States
H Schmidt Germany
Robert Kalak Australia
Benjamin H. Mullin
Citations per year, relative to Benjamin H. Mullin Benjamin H. Mullin (= 1×) peers Robert Kalak

Countries citing papers authored by Benjamin H. Mullin

Since Specialization
Citations

This map shows the geographic impact of Benjamin H. Mullin'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 Benjamin H. Mullin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin H. Mullin more than expected).

Fields of papers citing papers by Benjamin H. Mullin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin H. Mullin. 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 Benjamin H. Mullin. The network helps show where Benjamin H. Mullin may publish in the future.

Co-authorship network of co-authors of Benjamin H. Mullin

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin H. Mullin. A scholar is included among the top collaborators of Benjamin H. Mullin 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 Benjamin H. Mullin. Benjamin H. Mullin 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.
Mullin, Benjamin H., Suzanne J. Brown, Purdey J. Campbell, et al.. (2025). Plasma Metabolite Profiles of Children with Autism Spectrum Disorder. Metabolites. 15(12). 780–780.
2.
Campbell, Purdey J., Benjamin H. Mullin, Suzanne J. Brown, et al.. (2023). Epigenome-wide Association Study Shows Differential DNA Methylation of MDC1, KLF9, and CUTA in Autoimmune Thyroid Disease. The Journal of Clinical Endocrinology & Metabolism. 109(4). 992–999. 3 indexed citations
3.
Kenny, Jacob, Benjamin H. Mullin, W.B. Robertson, et al.. (2023). Age-dependent genetic regulation of osteoarthritis: independent effects of immune system genes. Arthritis Research & Therapy. 25(1). 232–232. 4 indexed citations
4.
Mullin, Benjamin H., et al.. (2023). Bone Trans-omics: Integrating Omics to Unveil Mechanistic Molecular Networks Regulating Bone Biology and Disease. Current Osteoporosis Reports. 21(5). 493–502. 7 indexed citations
5.
Mullin, Benjamin H., Nathan J. Pavlos, Suzanne J. Brown, et al.. (2022). Functional Assessment of Calcium-Sensing Receptor Variants Confirms Familial Hypocalciuric Hypercalcemia. Journal of the Endocrine Society. 6(5). bvac025–bvac025. 3 indexed citations
6.
Song, Dezhi, et al.. (2021). Molecular structure, expression, and the emerging role of Siglec‐15 in skeletal biology and cancer. Journal of Cellular Physiology. 237(3). 1711–1719. 16 indexed citations
7.
Anderson, Denise, Emanuela Ferrari, Jennifer Tickner, et al.. (2020). The bone marrow microenvironment of pre-B acute lymphoblastic leukemia at single-cell resolution. Scientific Reports. 10(1). 19173–19173. 21 indexed citations
8.
Mullin, Benjamin H., Jennifer Tickner, Kun Zhu, et al.. (2020). Characterisation of genetic regulatory effects for osteoporosis risk variants in human osteoclasts. Genome biology. 21(1). 80–80. 42 indexed citations
9.
Yuan, Jinbo, Jennifer Tickner, Benjamin H. Mullin, et al.. (2019). Advanced Genetic Approaches in Discovery and Characterization of Genes Involved With Osteoporosis in Mouse and Human. Frontiers in Genetics. 10. 288–288. 17 indexed citations
10.
Mullin, Benjamin H., Cyril Mamotte, Richard L. Prince, et al.. (2013). Conditional testing of multiple variants associated with bone mineral density in the FLNB gene region suggests that they represent a single association signal. BMC Genetics. 14(1). 107–107. 7 indexed citations
11.
Lewis, Joshua R., et al.. (2011). A non-synonymous coding change in the CYP19A1 gene Arg264Cys (rs700519) does not affect circulating estradiol, bone structure or fracture. BMC Medical Genetics. 12(1). 165–165. 6 indexed citations
12.
Ueland, Thor, Scott G. Wilson, Amirul Islam, et al.. (2009). A cohort study of the effects of serum osteoprotegerin and osteoprotegerin gene polymorphisms on cardiovascular mortality in elderly women. Clinical Endocrinology. 71(6). 828–833. 14 indexed citations
13.
Mullin, Benjamin H., Richard L. Prince, Cyril Mamotte, et al.. (2009). Further genetic evidence suggesting a role for the RhoGTPase-RhoGEF pathway in osteoporosis. Bone. 45(2). 387–391. 18 indexed citations
14.
Jones, Michelle R., Scott G. Wilson, Benjamin H. Mullin, et al.. (2008). Polymorphism in postinsulin receptor signaling pathway is not associated with polycystic ovary syndrome. Fertility and Sterility. 90(6). 2298–2303. 3 indexed citations
15.
Mullin, Benjamin H., Michelle R. Jones, Ian M. Dick, et al.. (2007). Variation in the FLNB gene regulates bone density in two populations of Caucasian women. Journal of Bone and Mineral Research. 22. 1203–1203. 2 indexed citations
16.
Jones, Michelle R., Scott G. Wilson, Benjamin H. Mullin, et al.. (2007). Polymorphism of the follistatin gene in polycystic ovary syndrome. Molecular Human Reproduction. 13(4). 237–241. 30 indexed citations
17.
Mullin, Benjamin H., et al.. (2007). Polymorphisms in ALOX12, but not ALOX15, Are Significantly Associated With BMD in Postmenopausal Women. Calcified Tissue International. 81(1). 10–17. 22 indexed citations
18.
Jones, Michelle R., Scott G. Wilson, Benjamin H. Mullin, et al.. (2006). Polymorphism in HSD17B6 is associated with key features of polycystic ovary syndrome. Fertility and Sterility. 86(5). 1438–1446. 23 indexed citations
19.
Ueland, Thor, Jens Bollerslev, Scott G. Wilson, et al.. (2006). No associations between OPG gene polymorphisms or serum levels and measures of osteoporosis in elderly Australian women. Bone. 40(1). 175–181. 61 indexed citations
20.
Mullin, Benjamin H., Scott G. Wilson, Amirul Islam, et al.. (2005). Klotho Gene Polymorphisms are Associated with Osteocalcin Levels but not Bone Density of Aged Postmenopausal Women. Calcified Tissue International. 77(3). 145–151. 32 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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