David G. Monroe

8.3k total citations · 6 hit papers
80 papers, 5.7k citations indexed

About

David G. Monroe is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, David G. Monroe has authored 80 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 30 papers in Genetics and 20 papers in Physiology. Recurrent topics in David G. Monroe's work include Bone Metabolism and Diseases (30 papers), Estrogen and related hormone effects (28 papers) and Telomeres, Telomerase, and Senescence (19 papers). David G. Monroe is often cited by papers focused on Bone Metabolism and Diseases (30 papers), Estrogen and related hormone effects (28 papers) and Telomeres, Telomerase, and Senescence (19 papers). David G. Monroe collaborates with scholars based in United States, Germany and United Kingdom. David G. Monroe's co-authors include Sundeep Khosla, Merry Jo Oursler, Joshua N. Farr, Daniel G. Fraser, Tamar Tchkonia, James L. Kirkland, Matthew T. Drake, Thomas C. Spelsberg, Robert J. Pignolo and Nathan K. LeBrasseur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

David G. Monroe

77 papers receiving 5.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Targeting cellular senescence prevents age-related bone loss in mice

2017 819 citations Joshua N. Farr, Megan Weivoda et al. Nature Medicine profile →
Estrogen and the skeleton

2012 644 citations Sundeep Khosla, Merry Jo Oursler et al. profile →
A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues

2022 453 citations Dominik Saul, Elizabeth J. Atkinson et al. profile →
Identification of Senescent Cells in the Bone Microenvironment

2016 403 citations Joshua N. Farr, Daniel G. Fraser et al. profile →
Update on the pathogenesis and treatment of skeletal fragility in type 2 diabetes mellitus

2021 150 citations Sundeep Khosla, David G. Monroe et al. profile →
Effects of intermittent senolytic therapy on bone metabolism in postmenopausal women: a phase 2 randomized controlled trial

2024 46 citations Joshua N. Farr, Elizabeth J. Atkinson et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David G. Monroe United States	38	3.0k	1.4k	1.1k	1.0k	979	80	5.7k
Stavroula Kousteni United States	36	3.5k 1.2×	575 0.4×	1.5k 1.3×	1.9k 1.8×	1.5k 1.5×	62	6.6k
Xiang‐Hang Luo China	43	3.5k 1.2×	920 0.7×	1.2k 1.1×	863 0.8×	397 0.4×	127	6.2k
Ling‐Qing Yuan China	46	3.8k 1.3×	942 0.7×	1.7k 1.5×	985 0.9×	487 0.5×	236	7.3k
Dengshun Miao China	46	3.6k 1.2×	734 0.5×	981 0.9×	1.7k 1.6×	1.1k 1.2×	195	7.7k
Riko Kitazawa Japan	39	2.7k 0.9×	434 0.3×	494 0.4×	1.5k 1.4×	720 0.7×	230	5.6k
Rob vanʼt Hof United Kingdom	30	1.9k 0.6×	620 0.4×	829 0.7×	1.1k 1.1×	487 0.5×	95	4.2k
Sohei Kitazawa Japan	47	3.5k 1.1×	588 0.4×	347 0.3×	1.8k 1.7×	722 0.7×	261	7.0k
Nadia Rucci Italy	42	2.7k 0.9×	413 0.3×	494 0.4×	1.5k 1.4×	402 0.4×	107	4.8k
Hua Zhu Ke United States	51	4.5k 1.5×	478 0.3×	2.8k 2.5×	2.8k 2.7×	1.4k 1.5×	126	7.9k
Yihong Wan United States	31	2.8k 0.9×	545 0.4×	421 0.4×	842 0.8×	532 0.5×	73	4.3k

Countries citing papers authored by David G. Monroe

Since Specialization

Citations

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

Fields of papers citing papers by David G. Monroe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Monroe. 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 G. Monroe. The network helps show where David G. Monroe may publish in the future.

Co-authorship network of co-authors of David G. Monroe

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Monroe. A scholar is included among the top collaborators of David G. Monroe 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 David G. Monroe. David G. Monroe 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

Zhang, Xu, et al.. (2025). Senescent Mesenchymal Stromal Cells Differentially Alter Adipogenesis in Adipose Tissue, Skeletal Muscle, and Bone Marrow. Obesity. 34(3). 652–661.

Farr, Joshua N., David G. Monroe, Elizabeth J. Atkinson, et al.. (2025). Characterization of Human Senescent Cell Biomarkers for Clinical Trials. Aging Cell. 24(5). e14489–e14489. 5 indexed citations

Farr, Joshua N., Elizabeth J. Atkinson, Sara J. Achenbach, et al.. (2024). Effects of intermittent senolytic therapy on bone metabolism in postmenopausal women: a phase 2 randomized controlled trial. Nature Medicine. 30(9). 2605–2612. 46 indexed citations breakdown →

Doolittle, Madison L., Brittany Eckhardt, Stephanie J. B. Vos, et al.. (2023). Modest Effects of Osteoclast‐Specific ERα Deletion after Skeletal Maturity. JBMR Plus. 7(10). e10797–e10797. 1 indexed citations

Wicik, Zofia, Kevin S. Pitel, Megan Weivoda, et al.. (2023). Estrogen-regulated miRs in bone enhance osteoblast differentiation and matrix mineralization. Molecular Therapy — Nucleic Acids. 33. 28–41. 3 indexed citations

Kaur, Japneet, Dominik Saul, Madison L. Doolittle, et al.. (2023). MicroRNA ‐ 19a ‐ 3p Decreases with Age in Mice and Humans and Inhibits Osteoblast Senescence. JBMR Plus. 7(6). e10745–e10745. 10 indexed citations

Englund, Davis A., Zaira Aversa, Xu Zhang, et al.. (2023). Senotherapeutic drug treatment ameliorates chemotherapy-induced cachexia. JCI Insight. 9(2). 17 indexed citations

Kaur, Japneet, Dominik Saul, Madison L. Doolittle, et al.. (2022). Identification of a suitable endogenous control miRNA in bone aging and senescence. Gene. 835. 146642–146642. 11 indexed citations

Doolittle, Madison L., David G. Monroe, Joshua N. Farr, & Sundeep Khosla. (2021). The role of senolytics in osteoporosis and other skeletal pathologies. Mechanisms of Ageing and Development. 199. 111565–111565. 32 indexed citations

10.

Aquino-Martínez, Rubén, Jennifer L. Rowsey, Daniel G. Fraser, et al.. (2020). LPS-induced premature osteocyte senescence: Implications in inflammatory alveolar bone loss and periodontal disease pathogenesis. Bone. 132. 115220–115220. 79 indexed citations

11.

Subramaniam, Malayannan, Kevin S. Pitel, Elizabeth S. Bruinsma, David G. Monroe, & John R. Hawse. (2017). TIEG and estrogen modulate SOST expression in the murine skeleton. Journal of Cellular Physiology. 233(4). 3540–3551. 11 indexed citations

12.

Roforth, Matthew M., Sundeep Khosla, & David G. Monroe. (2013). Identification of Rorβ targets in cultured osteoblasts and in human bone. Biochemical and Biophysical Research Communications. 440(4). 768–773. 18 indexed citations

13.

Roforth, Matthew M., Koji Fujita, Salman Kirmani, et al.. (2013). Effects of age on bone mRNA levels of sclerostin and other genes relevant to bone metabolism in humans. Bone. 59. 1–6. 94 indexed citations

14.

Fujita, Koji, Matthew M. Roforth, Elizabeth J. Atkinson, et al.. (2013). Isolation and characterization of human osteoblasts from needle biopsies without in vitro culture. Osteoporosis International. 25(3). 887–895. 23 indexed citations

15.

Mödder, Ulrike I., Matthew M. Roforth, Kelley A. Hoey, et al.. (2011). Effects of estrogen on osteoprogenitor cells and cytokines/bone-regulatory factors in postmenopausal women. Bone. 49(2). 202–207. 66 indexed citations

16.

Mödder, Ulrike I., Matthew M. Roforth, Kristy M. Nicks, et al.. (2011). Characterization of mesenchymal progenitor cells isolated from human bone marrow by negative selection. Bone. 50(3). 804–810. 37 indexed citations

17.

Allhoff, Fritz & David G. Monroe. (2007). Food & Philosophy: Eat, Drink, and Be Merry. Blackwell eBooks. 3 indexed citations

18.

Monroe, David G., Frank J. Secreto, John R. Hawse, et al.. (2006). Estrogen Receptor Isoform-specific Regulation of the Retinoblastoma-binding Protein 1 (RBBP1) Gene. Journal of Biological Chemistry. 281(39). 28596–28604. 21 indexed citations

19.

Rickard, David J., David G. Monroe, Terry Ruesink, et al.. (2003). Phytoestrogen genistein acts as an estrogen agonist on human osteoblastic cells through estrogen receptors α and β. Journal of Cellular Biochemistry. 89(3). 633–646. 93 indexed citations

20.

Monroe, David G., et al.. (2002). Tissue-Protective Effects of Estrogen Involve Regulation of Caspase Gene Expression. Molecular Endocrinology. 16(6). 1322–1331. 68 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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