Hannah M. Davis

1.2k total citations
28 papers, 823 citations indexed

About

Hannah M. Davis is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Hannah M. Davis has authored 28 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Physiology. Recurrent topics in Hannah M. Davis's work include Bone Metabolism and Diseases (11 papers), Connexins and lens biology (6 papers) and Bone health and treatments (4 papers). Hannah M. Davis is often cited by papers focused on Bone Metabolism and Diseases (11 papers), Connexins and lens biology (6 papers) and Bone health and treatments (4 papers). Hannah M. Davis collaborates with scholars based in United States, Brazil and Italy. Hannah M. Davis's co-authors include Lilian I. Plotkin, Teresita Bellido, Rafael Pacheco‐Costa, Matthew R. Allen, Angela Bruzzaniti, Arancha R. Gortázar, Emily G. Atkinson, Ichiji Tasaki, Richard D. Goldstein and Rejane Daniele Reginato and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Endocrinology.

In The Last Decade

Hannah M. Davis

27 papers receiving 799 citations

Peers

Hannah M. Davis

OSM

ONCOL

PHYSI

GENET

Masaya Takeda Japan

K. A. Magri United States

J L Pasteels Belgium

Je-Hwang Ryu South Korea

Jonathan S. Cook United States

Satsuki Miyazaki Japan

Jessica L. Costa New Zealand

Cornelia M. Spies Germany

Takehito Tsuji Japan

Masaya Takeda Japan

Hannah M. Davis

479 ×1.0

40 ×0.3

OSM

53 ×0.4

ONCOL

49 ×0.4

PHYSI

114 ×0.9

GENET

Citations per year, relative to Hannah M. Davis Hannah M. Davis (= 1×) peers Masaya Takeda

Countries citing papers authored by Hannah M. Davis

Since Specialization

Citations

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

Fields of papers citing papers by Hannah M. Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah M. Davis. 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 Hannah M. Davis. The network helps show where Hannah M. Davis may publish in the future.

Co-authorship network of co-authors of Hannah M. Davis

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

All Works

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20 of 20 papers shown

Davis, Hannah M., et al.. (2024). Mastic: Private Weighted Heavy-Hitters and Attribute-Based Metrics. Proceedings on Privacy Enhancing Technologies. 2025(1). 290–319.

Davis, Hannah M., et al.. (2023). Verifiable Distributed Aggregation Functions. Proceedings on Privacy Enhancing Technologies. 2023(4). 578–592. 4 indexed citations

Huot, Joshua R., et al.. (2022). miR21 deletion in osteocytes has direct and indirect effects on skeletal muscle in a sex-dimorphic manner in mice. Biology of Sex Differences. 13(1). 56–56. 7 indexed citations

Solomon, Benjamin, Alexander Drilon, Keunchil Park, et al.. (2020). Phase III Study of Selpercatinib Versus Chemotherapy ± pembrolizumab in Untreated RET Positive Non-Small-Cell Lung Cancer. Future Oncology. 17(7). 763–773. 30 indexed citations

Aguilar‐Perez, Alexandra, Rafael Pacheco‐Costa, Emily G. Atkinson, et al.. (2019). Age- and sex-dependent role of osteocytic pannexin1 on bone and muscle mass and strength. Scientific Reports. 9(1). 13903–13903. 18 indexed citations

Davis, Hannah M., et al.. (2019). Short-term pharmacologic RAGE inhibition differentially affects bone and skeletal muscle in middle-aged mice. Bone. 124. 89–102. 31 indexed citations

Davis, Hannah M., Fletcher A. White, Mark A. Subler, et al.. (2019). High mobility group box 1 protein regulates osteoclastogenesis through direct actions on osteocytes and osteoclasts in vitro. Journal of Cellular Biochemistry. 120(10). 16741–16749. 21 indexed citations

Plotkin, Lilian I., et al.. (2019). RAGE Signaling in Skeletal Biology. Current Osteoporosis Reports. 17(1). 16–25. 38 indexed citations

Pacheco‐Costa, Rafael, Hannah M. Davis, Emily G. Atkinson, et al.. (2018). Reversal of loss of bone mass in old mice treated with mefloquine. Bone. 114. 22–31. 9 indexed citations

10.

Davis, Hannah M., Mohammad W. Aref, Alexandra Aguilar‐Perez, et al.. (2018). Cx43 Overexpression in Osteocytes Prevents Osteocyte Apoptosis and Preserves Cortical Bone Quality in Aging Mice. JBMR Plus. 2(4). 206–216. 45 indexed citations

11.

Sato, Amy Y., Meloney Cregor, Hannah M. Davis, et al.. (2017). Glucocorticoids Induce Bone and Muscle Atrophy by Tissue-Specific Mechanisms Upstream of E3 Ubiquitin Ligases. Endocrinology. 158(3). 664–677. 110 indexed citations

12.

Plotkin, Lilian I., Rafael Pacheco‐Costa, & Hannah M. Davis. (2017). MicroRNAs and Connexins in Bone: Interaction and Mechanisms of Delivery. PubMed. 3(2). 63–70. 8 indexed citations

13.

Plotkin, Lilian I., Hannah M. Davis, Bruno A. Cisterna, & Juan C. Sáez. (2017). Connexins and Pannexins in Bone and Skeletal Muscle. Current Osteoporosis Reports. 15(4). 326–334. 35 indexed citations

14.

Yu, Shaoqing, Paul Childress, Keith R. Stayrook, et al.. (2017). Improving Combination Osteoporosis Therapy in a Preclinical Model of Heightened Osteoanabolism. Endocrinology. 158(9). 2722–2740. 8 indexed citations

15.

Hammond, Max A., Alycia G. Berman, Rafael Pacheco‐Costa, et al.. (2016). Removing or truncating connexin 43 in murine osteocytes alters cortical geometry, nanoscale morphology, and tissue mechanics in the tibia. Bone. 88. 85–91. 24 indexed citations

16.

Pacheco‐Costa, Rafael, Hannah M. Davis, Rejane Daniele Reginato, et al.. (2015). Defective cancellous bone structure and abnormal response to PTH in cortical bone of mice lacking Cx43 cytoplasmic C-terminus domain. Bone. 81. 632–643. 28 indexed citations

17.

Plotkin, Lilian I., Arancha R. Gortázar, Hannah M. Davis, et al.. (2015). Inhibition of Osteocyte Apoptosis Prevents the Increase in Osteocytic Receptor Activator of Nuclear Factor κB Ligand (RANKL) but Does Not Stop Bone Resorption or the Loss of Bone Induced by Unloading. Journal of Biological Chemistry. 290(31). 18934–18942. 72 indexed citations

18.

Pacheco‐Costa, Rafael, Rejane Daniele Reginato, Hannah M. Davis, et al.. (2014). High Bone Mass in Mice Lacking Cx37 Due to Defective Osteoclast Differentiation. IUScholarWorks (Indiana University). 1 indexed citations

19.

Pacheco‐Costa, Rafael, Rejane Daniele Reginato, Hannah M. Davis, et al.. (2014). High Bone Mass in Mice Lacking Cx37 Because of Defective Osteoclast Differentiation. Journal of Biological Chemistry. 289(12). 8508–8520. 52 indexed citations

20.

Colazo, M.G., John P. Kastelic, Hannah M. Davis, et al.. (2006). Effects of plasma progesterone concentrations on LH release and ovulation in beef cattle given GnRH. Domestic Animal Endocrinology. 34(1). 109–117. 78 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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