Ross A. Kopher

694 total citations
12 papers, 525 citations indexed

About

Ross A. Kopher is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Ross A. Kopher has authored 12 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Genetics. Recurrent topics in Ross A. Kopher's work include Pluripotent Stem Cells Research (4 papers), Mesenchymal stem cell research (4 papers) and Craniofacial Disorders and Treatments (4 papers). Ross A. Kopher is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Mesenchymal stem cell research (4 papers) and Craniofacial Disorders and Treatments (4 papers). Ross A. Kopher collaborates with scholars based in United States. Ross A. Kopher's co-authors include Jeremy J. Mao, Xin Wang, Tejal A. Desai, Dan S. Kaufman, Arnold I. Caplan, Jennifer H. Elisseeff, Blanka Sharma, Donald P. Lennon, Liu Hong and Adel Alhadlaq and has published in prestigious journals such as Journal of Bone and Mineral Research, Bone and Journal of Orthopaedic Research®.

In The Last Decade

Ross A. Kopher

12 papers receiving 508 citations

Peers

Ross A. Kopher

MB

GENET

SURGE

GENET

BE

Jiewen Dai China

Noriaki Kawanabe Japan

Yossi Gafni Israel

Zheyuan Yu China

Hiroshi Kamioka Japan

Haofu Lee United States

Akihiro Yasue Japan

Zongyang Sun United States

Keitaro Isokawa Japan

Taku Kojima Japan

Jiewen Dai China

Ross A. Kopher

246 ×1.3

MB

168 ×1.3

GENET

224 ×1.8

SURGE

83 ×0.7

GENET

161 ×1.6

BE

Citations per year, relative to Ross A. Kopher Ross A. Kopher (= 1×) peers Jiewen Dai

Countries citing papers authored by Ross A. Kopher

Since Specialization

Citations

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

Fields of papers citing papers by Ross A. Kopher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ross A. Kopher. 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 Ross A. Kopher. The network helps show where Ross A. Kopher may publish in the future.

Co-authorship network of co-authors of Ross A. Kopher

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

All Works

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12 of 12 papers shown

1.

Khan, Salmaan, Stefano Rossetti, Ian A. MacNeil, et al.. (2024). Assessments of prostate cancer cell functions highlight differences between a pan‐ PI 3 K /m TOR inhibitor, gedatolisib, and single‐node inhibitors of the PI 3 K / AKT /m TOR pathway. Molecular Oncology. 19(1). 225–247. 4 indexed citations

2.

Rossetti, Stefano, Salmaan Khan, Ian A. MacNeil, et al.. (2024). Gedatolisib shows superior potency and efficacy versus single-node PI3K/AKT/mTOR inhibitors in breast cancer models. npj Breast Cancer. 10(1). 40–40. 14 indexed citations

3.

Zou, Li, et al.. (2015). Use of RUNX2 Expression to Identify Osteogenic Progenitor Cells Derived from Human Embryonic Stem Cells. Stem Cell Reports. 4(2). 190–198. 34 indexed citations

4.

Hexum, Melinda K., et al.. (2014). Functional Assessment of Hematopoietic Niche Cells Derived from Human Embryonic Stem Cells. Stem Cells and Development. 23(12). 1355–1363. 4 indexed citations

5.

Undale, Anita H., Daniel G. Fraser, Theresa E. Hefferan, et al.. (2011). Induction of fracture repair by mesenchymal cells derived from human embryonic stem cells or bone marrow. Journal of Orthopaedic Research®. 29(12). 1804–1811. 23 indexed citations

6.

Kopher, Ross A., Vesselin R. Penchev, Mohammad Saiful Islam, et al.. (2010). Human embryonic stem cell-derived CD34+ cells function as MSC progenitor cells. Bone. 47(4). 718–728. 48 indexed citations

7.

Kopher, Ross A., et al.. (2007). Responses of intramembranous bone and sutures upon in vivo cyclic tensile and compressive loading. Bone. 42(2). 432–438. 43 indexed citations

8.

Alhadlaq, Adel, Jennifer H. Elisseeff, Liu Hong, et al.. (2004). Adult Stem Cell Driven Genesis of Human-Shaped Articular Condyle. Annals of Biomedical Engineering. 32(7). 911–923. 140 indexed citations

9.

Kopher, Ross A., et al.. (2003). Expression of In Vivo Mechanical Strain upon Different Wave Forms of Exogenous Forces in Rabbit Craniofacial Sutures. Annals of Biomedical Engineering. 31(9). 1125–1131. 14 indexed citations

10.

Kopher, Ross A., et al.. (2003). Characterization of PC12 cell proliferation and differentiation-stimulated by ECM adhesion proteins and neurotrophic factors. Journal of Materials Science Materials in Medicine. 14(11). 1005–1009. 45 indexed citations

11.

Mao, Jeremy J., Xin Wang, & Ross A. Kopher. (2003). Biomechanics of craniofacial sutures: orthopedic implications.. PubMed. 73(2). 128–35. 73 indexed citations

12.

Kopher, Ross A. & Jeremy J. Mao. (2003). Suture Growth Modulated by the Oscillatory Component of Micromechanical Strain. Journal of Bone and Mineral Research. 18(3). 521–528. 83 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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