Divya Krishnamoorthy

425 total citations
11 papers, 310 citations indexed

About

Divya Krishnamoorthy is a scholar working on Pharmacology, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Divya Krishnamoorthy has authored 11 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pharmacology, 6 papers in Pathology and Forensic Medicine and 3 papers in Surgery. Recurrent topics in Divya Krishnamoorthy's work include Musculoskeletal pain and rehabilitation (7 papers), Spine and Intervertebral Disc Pathology (6 papers) and Pregnancy-related medical research (3 papers). Divya Krishnamoorthy is often cited by papers focused on Musculoskeletal pain and rehabilitation (7 papers), Spine and Intervertebral Disc Pathology (6 papers) and Pregnancy-related medical research (3 papers). Divya Krishnamoorthy collaborates with scholars based in United States and China. Divya Krishnamoorthy's co-authors include James C. Iatridis, Damien M. Laudier, Kenneth R. Nakazawa, Benjamin A. Walter, Grace E. Mosley, Kara L. Spiller, Svenja Illien‐Jünger, Danielle M. Frechette, M. Ete Chan and Clinton T. Rubin and has published in prestigious journals such as PLoS ONE, Journal of Applied Physiology and Annals of the New York Academy of Sciences.

In The Last Decade

Divya Krishnamoorthy

11 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Divya Krishnamoorthy United States 9 206 160 65 62 51 11 310
Ayumu Kawakubo Japan 11 151 0.7× 112 0.7× 98 1.5× 39 0.6× 57 1.1× 22 277
Yoshiki Terashima Japan 6 173 0.8× 87 0.5× 76 1.2× 62 1.0× 33 0.6× 7 286
Joseph Snuggs United Kingdom 10 230 1.1× 160 1.0× 84 1.3× 56 0.9× 21 0.4× 17 308
Kathryn T. Weber United States 7 196 1.0× 183 1.1× 70 1.1× 60 1.0× 42 0.8× 10 307
Haiqing Mao China 12 270 1.3× 170 1.1× 129 2.0× 64 1.0× 33 0.6× 22 452
Synthia Bethea United States 11 296 1.4× 201 1.3× 135 2.1× 94 1.5× 46 0.9× 13 471
Dongsheng Huang China 12 254 1.2× 116 0.7× 91 1.4× 76 1.2× 60 1.2× 21 430
K. S. Sri Vijay Anand India 10 196 1.0× 133 0.8× 106 1.6× 67 1.1× 17 0.3× 39 302
Qihang Su China 12 180 0.9× 97 0.6× 128 2.0× 52 0.8× 26 0.5× 33 378
Wentian Li China 6 165 0.8× 86 0.5× 53 0.8× 56 0.9× 31 0.6× 10 250

Countries citing papers authored by Divya Krishnamoorthy

Since Specialization
Citations

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

Fields of papers citing papers by Divya Krishnamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divya Krishnamoorthy

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

All Works

11 of 11 papers shown
1.
Bailey, Stacyann, et al.. (2022). Bone matrix quality in a developing high-fat diet mouse model is altered by RAGE deletion. Bone. 162. 116470–116470. 7 indexed citations
2.
Krishnamoorthy, Divya, Alon Lai, Jashvant Poeran, et al.. (2021). High fat diet causes inferior vertebral structure and function without disc degeneration in RAGE‐KO mice. Journal of Orthopaedic Research®. 40(7). 1672–1686. 8 indexed citations
5.
Krishnamoorthy, Divya, et al.. (2018). Elevated glycohemoglobin HbA1c is associated with low back pain in nonoverweight diabetics. The Spine Journal. 19(2). 225–231. 9 indexed citations
6.
Liu, Xinyue, Divya Krishnamoorthy, Lei Lin, et al.. (2018). A method for characterising human intervertebral disc glycosaminoglycan disaccharides using liquid chromatography-mass spectrometry with multiple reaction monitoring. European Cells and Materials. 35. 117–131. 17 indexed citations
7.
Krishnamoorthy, Divya, et al.. (2018). Dietary advanced glycation end-product consumption leads to mechanical stiffening of murine intervertebral discs. Disease Models & Mechanisms. 11(12). 32 indexed citations
8.
Nakazawa, Kenneth R., Benjamin A. Walter, Damien M. Laudier, et al.. (2017). Accumulation and localization of macrophage phenotypes with human intervertebral disc degeneration. The Spine Journal. 18(2). 343–356. 144 indexed citations
9.
Frechette, Danielle M., et al.. (2017). Mechanical signals protect stem cell lineage selection, preserving the bone and muscle phenotypes in obesity. Annals of the New York Academy of Sciences. 1409(1). 33–50. 9 indexed citations
10.
Krishnamoorthy, Divya, et al.. (2015). Marrow adipogenesis and bone loss that parallels estrogen deficiency is slowed by low-intensity mechanical signals. Osteoporosis International. 27(2). 747–756. 23 indexed citations
11.
Frechette, Danielle M., Divya Krishnamoorthy, Benjamin J. Adler, M. Ete Chan, & Clinton T. Rubin. (2015). Diminished satellite cells and elevated adipogenic gene expression in muscle as caused by ovariectomy are averted by low-magnitude mechanical signals. Journal of Applied Physiology. 119(1). 27–36. 17 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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