Gene Kopen

13.5k total citations · 1 hit paper
19 papers, 3.3k citations indexed

About

Gene Kopen is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Gene Kopen has authored 19 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Gene Kopen's work include Mesenchymal stem cell research (11 papers), Cell Adhesion Molecules Research (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Gene Kopen is often cited by papers focused on Mesenchymal stem cell research (11 papers), Cell Adhesion Molecules Research (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). Gene Kopen collaborates with scholars based in United States and Japan. Gene Kopen's co-authors include Donald G. Phinney, Darwin J. Prockop, Rivka L. Isaacson, William Righter, Stephen B. Webster, Catherine E. Hughes, Melody Baddoo, Dina Gaupp, Carla M. DiGirolamo and David Ibberson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, International Journal of Cancer and Virology.

In The Last Decade

Gene Kopen

19 papers receiving 3.2k citations

Hit Papers

Marrow stromal cells migrate throughout forebrain and cer... 1999 2026 2008 2017 1999 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gene Kopen United States 12 2.4k 1.2k 921 559 450 19 3.3k
Debora Giunti Italy 17 2.5k 1.0× 1.0k 0.9× 868 0.9× 426 0.8× 268 0.6× 27 4.0k
Carla M. DiGirolamo United States 9 2.1k 0.9× 1.1k 0.9× 917 1.0× 348 0.6× 271 0.6× 10 3.0k
Wonil Oh South Korea 36 2.5k 1.0× 1.5k 1.2× 1.3k 1.4× 484 0.9× 358 0.8× 86 4.4k
Sandeep Kunwar United States 34 1.4k 0.6× 778 0.6× 875 1.0× 712 1.3× 616 1.4× 82 4.1k
Dale Woodbury United States 14 2.7k 1.1× 1.5k 1.2× 1.0k 1.1× 1.1k 1.9× 842 1.9× 15 3.5k
Yo Mabuchi Japan 31 1.6k 0.7× 1.4k 1.2× 804 0.9× 225 0.4× 223 0.5× 81 3.7k
Jeong Chan South Korea 25 1.8k 0.8× 875 0.7× 975 1.1× 221 0.4× 248 0.6× 43 3.1k
Yoon Sun Yang South Korea 28 1.3k 0.6× 740 0.6× 802 0.9× 282 0.5× 173 0.4× 52 2.4k
Patrizia Bossolasco Italy 20 1.2k 0.5× 893 0.7× 554 0.6× 329 0.6× 343 0.8× 40 2.1k
Simona Casazza Italy 11 1.5k 0.6× 641 0.5× 473 0.5× 412 0.7× 173 0.4× 11 2.4k

Countries citing papers authored by Gene Kopen

Since Specialization
Citations

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

Fields of papers citing papers by Gene Kopen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gene Kopen

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

All Works

19 of 19 papers shown
1.
Andrews, Ellen M., et al.. (2008). Human adult bone marrow-derived somatic cell therapy results in functional recovery and axonal plasticity following stroke in the rat. Experimental Neurology. 211(2). 588–592. 82 indexed citations
2.
Himes, B. Timothy, Birgit Neuhuber, Carl H. Coleman, et al.. (2006). Recovery of Function Following Grafting of Human Bone Marrow-Derived Stromal Cells into the Injured Spinal Cord. Neurorehabilitation and neural repair. 20(2). 278–296. 184 indexed citations
3.
Baddoo, Melody, et al.. (2003). Characterization of mesenchymal stem cells isolated from murine bone marrow by negative selection. Journal of Cellular Biochemistry. 89(6). 1235–1249. 399 indexed citations
6.
Prockop, Darwin J., S. Ausim Azizi, Donald G. Phinney, Gene Kopen, & Emily Schwarz. (2000). Potential use of marrow stromal cells as therapeutic vectors for diseases of the central nervous system. Progress in brain research. 128. 293–297. 21 indexed citations
7.
Prockop, Darwin J., S. Ausim Azizi, David C. Colter, et al.. (2000). Potential use of stem cells from bone marrow to repair the extracellular matrix and the central nervous system. Biochemical Society Transactions. 28(4). 341–345. 41 indexed citations
8.
Phinney, Donald G., Gene Kopen, Rivka L. Isaacson, & Darwin J. Prockop. (1999). Plastic adherent stromal cells from the bone marrow of commonly used strains of inbred mice: Variations in yield, growth, and differentiation. Journal of Cellular Biochemistry. 72(4). 570–585. 447 indexed citations
9.
Phinney, Donald G., et al.. (1999). Donor variation in the growth properties and osteogenic potential of human marrow stromal cells. Journal of Cellular Biochemistry. 75(3). 424–436. 395 indexed citations
10.
Kopen, Gene, Darwin J. Prockop, & Donald G. Phinney. (1999). Marrow stromal cells migrate throughout forebrain and cerebellum, and they differentiate into astrocytes after injection into neonatal mouse brains. Proceedings of the National Academy of Sciences. 96(19). 10711–10716. 1330 indexed citations breakdown →
11.
Phinney, Donald G., Gene Kopen, Rivka L. Isaacson, & Darwin J. Prockop. (1999). Plastic adherent stromal cells from the bone marrow of commonly used strains of inbred mice: Variations in yield, growth, and differentiation. Journal of Cellular Biochemistry. 72(4). 570–585. 30 indexed citations
12.
Kopen, Gene, Darwin J. Prockop, & Donald G. Phinney. (1999). Enhanced In Situ Detection of β-Glucuronidase Activity in Murine Tissue. Journal of Histochemistry & Cytochemistry. 47(7). 965–968. 4 indexed citations
13.
Phinney, Donald G., et al.. (1999). Donor variation in the growth properties and osteogenic potential of human marrow stromal cells. Journal of Cellular Biochemistry. 75(3). 424–436. 11 indexed citations
15.
Halpern, Michael S., et al.. (1996). Endogenous c-src as a determinant of the tumorigenicity of src oncogenes.. Proceedings of the National Academy of Sciences. 93(2). 824–827. 7 indexed citations
16.
Taylor, Robert L., et al.. (1996). Sequence variation in theSRC gene product affects metastasis formation: The central, but not exclusive, role of the tumor immune response. International Journal of Cancer. 68(2). 228–231. 2 indexed citations
17.
Appelt, Denah M., et al.. (1996). Localization of transglutaminase in hippocampal neurons: implications for Alzheimer's disease.. Journal of Histochemistry & Cytochemistry. 44(12). 1421–1427. 60 indexed citations
18.
England, James M., et al.. (1994). Tumor cells induced by the v-src oncogene are heterogeneous for expression of markers of mesenchyme differentiation. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 424(1). 83–8. 1 indexed citations
19.
England, James M., et al.. (1994). Major Histocompatibility (B) Complex Control of the Formation of v-src-Induced Metastases. Virology. 205(2). 569–573. 7 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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