Ken Kozloff

447 total citations
11 papers, 327 citations indexed

About

Ken Kozloff is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Ken Kozloff has authored 11 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in Ken Kozloff's work include Bone health and treatments (3 papers), Connective tissue disorders research (3 papers) and Photoacoustic and Ultrasonic Imaging (3 papers). Ken Kozloff is often cited by papers focused on Bone health and treatments (3 papers), Connective tissue disorders research (3 papers) and Photoacoustic and Ultrasonic Imaging (3 papers). Ken Kozloff collaborates with scholars based in United States, China and Poland. Ken Kozloff's co-authors include Laurie K. McCauley, Benjamin P. Sinder, Shinichiro Kuroshima, Junro Yamashita, Kyriel M. Pineault, Danielle Rux, Ilea T. Swinehart, Deneen M. Wellik, Steven A. Goldstein and Jane Y. Song and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Developmental Cell.

In The Last Decade

Ken Kozloff

11 papers receiving 324 citations

Peers

Ken Kozloff

MB

ONCOL

OSM

GENET

RHEUM

Megan N. Michalski United States

Frieda Chen Canada

Qilong Wan China

Naoto Kosaki Japan

Anders Frost Sweden

Kjell Laperre Belgium

Mina Okamoto Japan

Yuske Komiyama Japan

Takeshi Kaneuji Japan

José M. A. Hendriks Netherlands

Megan N. Michalski United States

Ken Kozloff

214 ×1.5

MB

107 ×1.2

ONCOL

59 ×0.8

OSM

37 ×0.6

GENET

53 ×0.8

RHEUM

Citations per year, relative to Ken Kozloff Ken Kozloff (= 1×) peers Megan N. Michalski

Countries citing papers authored by Ken Kozloff

Since Specialization

Citations

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

Fields of papers citing papers by Ken Kozloff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Kozloff

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

All Works

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11 of 11 papers shown

1.

Blouin, Stéphane, Paul Roschger, Klaus Klaushofer, et al.. (2019). New mouse model with IFITM5 S42L for atypical type VI osteogenesis imperfecta. Bone Abstracts. 1 indexed citations

2.

Gao, Zhenghong, Gaoming Li, Xue Li, et al.. (2017). In vivo near-infrared imaging of ErbB2 expressing breast tumors with dual-axes confocal endomicroscopy using a targeted peptide. Scientific Reports. 7(1). 14404–14404. 10 indexed citations

3.

Rux, Danielle, Jane Y. Song, Kyriel M. Pineault, et al.. (2017). Hox11 Function Is Required for Region-Specific Fracture Repair. Journal of Bone and Mineral Research. 32(8). 1750–1760. 30 indexed citations

4.

Rux, Danielle, Jane Y. Song, Ilea T. Swinehart, et al.. (2016). Regionally Restricted Hox Function in Adult Bone Marrow Multipotent Mesenchymal Stem/Stromal Cells. Developmental Cell. 39(6). 653–666. 73 indexed citations

5.

Wang, Xueding, Ting Feng, Meng Cao, et al.. (2016). Photoacoustic measurement of bone health: A study for clinical feasibility. 1–4. 6 indexed citations

6.

Feng, Ting, Ken Kozloff, Meng Cao, et al.. (2016). Study of photoacoustic measurement of bone health based on clinically relevant models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9689. 96894F–96894F. 4 indexed citations

7.

Sinder, Benjamin P., Leonard White, Jason L. Salemi, et al.. (2014). Adult Brtl/+ mouse model of osteogenesis imperfecta demonstrates anabolic response to sclerostin antibody treatment with increased bone mass and strength. Osteoporosis International. 25(8). 2097–2107. 55 indexed citations

8.

Cho, Sun Wook, Flávia Q. Pirih, Amy J. Koh, et al.. (2013). The Soluble Interleukin-6 Receptor Is a Mediator of Hematopoietic and Skeletal Actions of Parathyroid Hormone. Journal of Biological Chemistry. 288(10). 6814–6825. 35 indexed citations

9.

Kuroshima, Shinichiro, et al.. (2013). Intra-oral PTH Administration Promotes Tooth Extraction Socket Healing. Journal of Dental Research. 92(6). 553–559. 70 indexed citations

10.

Goulet, Grant C., et al.. (2011). Osteoblast Response to Ovariectomy Is Enhanced in Intrinsically High Aerobic-Capacity Rats. Calcified Tissue International. 88(4). 325–335. 6 indexed citations

11.

Novince, Chad M., Megan N. Michalski, Amy J. Koh, et al.. (2011). Proteoglycan 4: A dynamic regulator of skeletogenesis and parathyroid hormone skeletal anabolism. Journal of Bone and Mineral Research. 27(1). 11–25. 37 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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