D Rosen

1.3k total citations
25 papers, 1.1k citations indexed

About

D Rosen is a scholar working on Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, D Rosen has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Immunology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in D Rosen's work include Ocular Infections and Treatments (5 papers), Immune Cell Function and Interaction (5 papers) and Cell death mechanisms and regulation (3 papers). D Rosen is often cited by papers focused on Ocular Infections and Treatments (5 papers), Immune Cell Function and Interaction (5 papers) and Cell death mechanisms and regulation (3 papers). D Rosen collaborates with scholars based in Israel, United States and Germany. D Rosen's co-authors include Gideon Berke, Benjamin Geiger, Linda D. Hazlett, R. S. Berk, Joseph Lotem, Ori Brenner, Ditsa Levanon, Yoram Groner, Cuiying Xiao and Yael Bernstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and The Journal of Immunology.

In The Last Decade

D Rosen

25 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D Rosen Israel 14 623 447 167 92 89 25 1.1k
Bruce Motyka Canada 16 646 1.0× 516 1.2× 153 0.9× 58 0.6× 67 0.8× 43 1.3k
László Takács Hungary 21 495 0.8× 496 1.1× 154 0.9× 42 0.5× 104 1.2× 59 1.2k
Claire Holness United Kingdom 12 938 1.5× 434 1.0× 174 1.0× 36 0.4× 91 1.0× 13 1.5k
R F Weber United States 6 618 1.0× 416 0.9× 175 1.0× 32 0.3× 31 0.3× 6 1.1k
N Ramesh United States 12 696 1.1× 251 0.6× 91 0.5× 16 0.2× 53 0.6× 19 1.0k
Ingrid Dodge United States 11 394 0.6× 537 1.2× 192 1.1× 22 0.2× 165 1.9× 13 998
Ken-ichi Arai Japan 15 750 1.2× 640 1.4× 328 2.0× 22 0.2× 123 1.4× 23 1.4k
G C Koo United States 21 854 1.4× 337 0.8× 166 1.0× 42 0.5× 20 0.2× 28 1.3k
Ismat Khatri Canada 22 669 1.1× 519 1.2× 288 1.7× 24 0.3× 91 1.0× 62 1.3k
Brian E. Castle United States 12 860 1.4× 287 0.6× 244 1.5× 23 0.3× 25 0.3× 16 1.2k

Countries citing papers authored by D Rosen

Since Specialization
Citations

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

Fields of papers citing papers by D Rosen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Rosen

This figure shows the co-authorship network connecting the top 25 collaborators of D Rosen. A scholar is included among the top collaborators of D Rosen 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 D Rosen. D Rosen 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.
Peshes‐Yaloz, Naama, D Rosen, Paul M. Sondel, Peter H. Krammer, & Gideon Berke. (2007). Up‐regulation of Fas (CD95) expression in tumour cells in vivo. Immunology. 120(4). 502–511. 13 indexed citations
2.
Woolf, Eilon, Cuiying Xiao, Ofer Fainaru, et al.. (2003). Runx3 and Runx1 are required for CD8 T cell development during thymopoiesis. Proceedings of the National Academy of Sciences. 100(13). 7731–7736. 314 indexed citations
3.
Rosen, D, et al.. (2002). Immune privilege and FasL: two ways to inactivate effector cytotoxic T lymphocytes by FasL‐expressing cells. Immunology. 105(3). 267–277. 32 indexed citations
4.
Shilkrut, Mark, Olga Gealekman, D Rosen, et al.. (2001). Electrophysiologic Perturbations and Arrhythmogenic Activity Caused by Activation of the Fas Receptor in Murine Ventricular Myocytes: Role of the Inositol Trisphosphate Pathway. Journal of Cardiovascular Electrophysiology. 12(2). 185–195. 10 indexed citations
5.
Rosen, D, et al.. (2000). Tumor Immunity in Perforin-Deficient Mice: A Role for CD95 (Fas/APO-1). The Journal of Immunology. 164(6). 3229–3235. 48 indexed citations
6.
Rosen, D, Denise Ronen, Christian K. Behrens, et al.. (1998). The Regulation of CD95 Ligand Expression and Function in CTL. The Journal of Immunology. 161(8). 3943–3949. 61 indexed citations
7.
Rosen, D, et al.. (1995). Lytic reaction of in vivo primed peritoneal exudate CTL. Induction of high-conductance single channels in the target cell membrane.. The Journal of Immunology. 154(10). 5039–5048. 4 indexed citations
8.
Binah, Ofer, Gideon Berke, D Rosen, & Brian F. Hoffman. (1994). Calcium channel blockers modify electrophysiological effects induced by lytic granules from cytotoxic T lymphocytes in guinea pig ventricular myocytes.. Journal of Pharmacology and Experimental Therapeutics. 268(3). 1581–1587. 6 indexed citations
9.
Berke, Gideon, D Rosen, Raymond Coleman, et al.. (1994). Effects of purified perforin and granzyme A from cytotoxic T lymphocytes on guinea pig ventricular myocytes. Cardiovascular Research. 28(5). 643–649. 16 indexed citations
10.
Berke, Gideon, et al.. (1994). Mechanisms whereby cytotoxic T lymphocytes damage guinea-pig ventricular myocytes in vitro. Pflügers Archiv - European Journal of Physiology. 427(5-6). 422–431. 8 indexed citations
11.
Berke, Gideon, D Rosen, & D Ronen. (1993). Mechanism of lymphocyte-mediated cytolysis: functional cytolytic T cells lacking perforin and granzymes.. PubMed. 78(1). 105–12. 30 indexed citations
12.
13.
Grossman, Zvi, et al.. (1986). Maturation of cytolytic T lymphocytes. Cellular Immunology. 102(1). 52–67. 7 indexed citations
14.
Rosen, D, Zvi Fishelson, & Gideon Berke. (1981). The role of cytotoxic T lymphocyte projections in target cell lysis.. PubMed. 13(1 Pt 2). 1073–8. 12 indexed citations
15.
Hazlett, Linda D., D Rosen, & R. S. Berk. (1978). Age-Related Susceptibility to Pseudomonas aeruginosa Ocular Infections in Mice. Infection and Immunity. 20(1). 25–29. 53 indexed citations
16.
Hazlett, Linda D., D Rosen, & R. S. Berk. (1977). Experimental Pseudomonas Keratitis in Immunosuppressed Hybrid Mice. Ophthalmic Research. 9(6). 374–380. 11 indexed citations
17.
Hazlett, Linda D., D Rosen, & R. S. Berk. (1977). Pseudomonas eye infections in cyclophosphamide-treated mice.. PubMed. 16(7). 649–52. 36 indexed citations
18.
Rosen, D & Marvin Edelman. (1976). Poly(A)-Associated RNA from the Mitochondrial Fraction of the Fungus Trichoderma. European Journal of Biochemistry. 63(2). 525–532. 13 indexed citations
19.
Rosen, D, Marvin Edelman, & Esra Galun. (1975). Characterization of polyadenylate from the fungus Trichoderma viride. Journal of Bacteriology. 123(2). 765–767. 8 indexed citations
20.
Rosen, D, Marvin Edelman, Esra Galun, & D. Danon. (1974). Biogenesis of Mitochondria in Trichoderma viride: Structural Changes in Mitochondria and Other Spore Constituents during Conidium Maturation and Germination. Journal of General Microbiology. 83(1). 31–49. 33 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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