Jonathan Greenbaum

1.3k total citations
43 papers, 730 citations indexed

About

Jonathan Greenbaum is a scholar working on Molecular Biology, Genetics and Orthopedics and Sports Medicine. According to data from OpenAlex, Jonathan Greenbaum has authored 43 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 26 papers in Genetics and 7 papers in Orthopedics and Sports Medicine. Recurrent topics in Jonathan Greenbaum's work include Genetic Associations and Epidemiology (22 papers), Bioinformatics and Genomic Networks (8 papers) and Bone health and osteoporosis research (7 papers). Jonathan Greenbaum is often cited by papers focused on Genetic Associations and Epidemiology (22 papers), Bioinformatics and Genomic Networks (8 papers) and Bone health and osteoporosis research (7 papers). Jonathan Greenbaum collaborates with scholars based in United States, China and United Kingdom. Jonathan Greenbaum's co-authors include Hong‐Wen Deng, Hui Shen, Yuancheng Chen, Hong‐Wen Deng, Kenneth J. Marians, Hong‐Mei Xiao, Lin Xu, Jie Shen, Changqing Sun and Weidong Zhang and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Jonathan Greenbaum

43 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Greenbaum United States 16 411 246 110 93 59 43 730
Wei Gu China 19 345 0.8× 95 0.4× 53 0.5× 45 0.5× 95 1.6× 74 876
António G. Soares Brazil 19 368 0.9× 211 0.9× 191 1.7× 211 2.3× 101 1.7× 40 1.1k
Massimiliano Corradi Italy 13 233 0.6× 186 0.8× 97 0.9× 38 0.4× 144 2.4× 42 669
Monica Singh India 16 217 0.5× 138 0.6× 127 1.2× 92 1.0× 147 2.5× 52 811
Safarina G. Malik Indonesia 15 278 0.7× 110 0.4× 94 0.9× 22 0.2× 42 0.7× 66 742
Korkut Ulucan Türkiye 14 123 0.3× 249 1.0× 44 0.4× 139 1.5× 34 0.6× 106 521
Jeffery R. O’Connell United States 11 222 0.5× 578 2.3× 99 0.9× 25 0.3× 103 1.7× 19 947
Shitao Rao China 12 546 1.3× 99 0.4× 63 0.6× 27 0.3× 81 1.4× 31 1.2k
Isabelle Piec United Kingdom 13 247 0.6× 38 0.2× 93 0.8× 114 1.2× 38 0.6× 30 733
Xinrong Chen China 15 263 0.6× 72 0.3× 177 1.6× 49 0.5× 189 3.2× 32 780

Countries citing papers authored by Jonathan Greenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Greenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Greenbaum. 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 Jonathan Greenbaum. The network helps show where Jonathan Greenbaum may publish in the future.

Co-authorship network of co-authors of Jonathan Greenbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Greenbaum. A scholar is included among the top collaborators of Jonathan Greenbaum 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 Jonathan Greenbaum. Jonathan Greenbaum 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.
Chen, Binbin, Le Wang, Ming‐Hua Zeng, et al.. (2024). Dissecting the shared genetic architecture between anti-Müllerian hormone and age at menopause based on genome-wide association study. American Journal of Obstetrics and Gynecology. 231(6). 634.e1–634.e11. 1 indexed citations
2.
Greenbaum, Jonathan, Chuan Qiu, Russell H. Swerdlow, et al.. (2024). Gene interactions analysis of brain spatial transcriptome for Alzheimer's disease. Genes & Diseases. 11(6). 101337–101337. 6 indexed citations
3.
Greenbaum, Jonathan, Chuan Qiu, Yun Gong, et al.. (2023). Single-cell RNA sequencing reveals in vivo osteoimmunology interactions between the immune and skeletal systems. Frontiers in Endocrinology. 14. 1107511–1107511. 5 indexed citations
4.
Gong, Yun, Zun Wang, Xiang‐He Meng, et al.. (2023). Regulon active landscape reveals cell development and functional state changes of human primary osteoblasts in vivo. Human Genomics. 17(1). 11–11. 5 indexed citations
5.
Liu, Danyang, et al.. (2023). Repurposing Approved Drugs for Sarcopenia Based on Transcriptomics Data in Humans. Pharmaceuticals. 16(4). 607–607. 7 indexed citations
6.
Li, Xiao‐Hua, Weiwei Pang, Danyang Liu, et al.. (2023). A Mendelian randomization study for drug repurposing reveals bezafibrate and fenofibric acid as potential osteoporosis treatments. Frontiers in Pharmacology. 14. 3 indexed citations
7.
Su, Kuan‐Jui, Xingying Chen, Rui Gong, et al.. (2023). Systematic metabolomic studies identified adult adiposity biomarkers with acetylglycine associated with fat loss in vivo. Frontiers in Molecular Biosciences. 10. 1166333–1166333. 5 indexed citations
8.
Li, Hui, Danyang Liu, Wan‐Qiang Lv, et al.. (2022). Network-Based Approach to Repurpose Approved Drugs for COVID-19 by Integrating GWAS and Text Mining Data. Processes. 10(2). 326–326. 2 indexed citations
9.
Xu, Lin, Xiang‐He Meng, Xiao Wang, et al.. (2022). Identification of PDXDC1 as a novel pleiotropic susceptibility locus shared between lumbar spine bone mineral density and birth weight. Journal of Molecular Medicine. 100(5). 723–734. 1 indexed citations
10.
Sullivan, Megan, Hong‐Wen Deng, & Jonathan Greenbaum. (2022). Identification of genetic loci shared between Alzheimer’s disease and hypertension. Molecular Genetics and Genomics. 297(6). 1661–1670. 2 indexed citations
11.
Shen, Wen‐Di, Lin Xu, Hui Li, et al.. (2022). Gut microbiota accelerates obesity in peri-/post-menopausal women via Bacteroides fragilis and acetic acid. International Journal of Obesity. 46(10). 1918–1924. 23 indexed citations
12.
Greenbaum, Jonathan, Lin Xu, Kuan‐Jui Su, et al.. (2022). Integration of the Human Gut Microbiome and Serum Metabolome Reveals Novel Biological Factors Involved in the Regulation of Bone Mineral Density. Frontiers in Cellular and Infection Microbiology. 12. 853499–853499. 22 indexed citations
13.
Song, Meng, Jonathan Greenbaum, Joseph Luttrell, et al.. (2022). An autoencoder-based deep learning method for genotype imputation. Frontiers in Artificial Intelligence. 5. 1028978–1028978. 8 indexed citations
14.
Liu, Anqi, Yong Liu, Kuan‐Jui Su, et al.. (2021). A transcriptome-wide association study to detect novel genes for volumetric bone mineral density. Bone. 153. 116106–116106. 3 indexed citations
15.
Greenbaum, Jonathan, et al.. (2020). Detecting causal relationship between metabolic traits and osteoporosis using multivariable Mendelian randomization. Osteoporosis International. 32(4). 715–725. 16 indexed citations
16.
Wang, Zun, Jonathan Greenbaum, Chuan Qiu, et al.. (2020). Identification of pleiotropic genes between risk factors of stroke by multivariate metaCCA analysis. Molecular Genetics and Genomics. 295(5). 1173–1185. 7 indexed citations
17.
18.
Xu, Lin, et al.. (2018). Identifying potentially common genes between dyslipidemia and osteoporosis using novel analytical approaches. Molecular Genetics and Genomics. 293(3). 711–723. 13 indexed citations
19.
Zhang, Qıang, et al.. (2018). Age at menarche and osteoporosis: A Mendelian randomization study. Bone. 117. 91–97. 43 indexed citations
20.
Peng, Cheng, Huiling Lou, Feng Liu, et al.. (2017). Enhanced Identification of Potential Pleiotropic Genetic Variants for Bone Mineral Density and Breast Cancer. Calcified Tissue International. 101(5). 489–500. 11 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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