I Givol

583 total citations
10 papers, 515 citations indexed

About

I Givol is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, I Givol has authored 10 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in I Givol's work include Virus-based gene therapy research (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Animal Genetics and Reproduction (2 papers). I Givol is often cited by papers focused on Virus-based gene therapy research (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Animal Genetics and Reproduction (2 papers). I Givol collaborates with scholars based in United States, Sweden and Israel. I Givol's co-authors include Yoshihide Tsujimoto, Stephen H. Hughes, Mark J. Federspiel, Matthew W. VanBrocklin, Douglas N. Foster, Eugene V. Barsov, Janet Schaefer-Klein, Jeannette M. Whitcomb, Muhammad M. Bashir and Jeffrey Cossman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Oncogene.

In The Last Decade

I Givol

10 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
I Givol United States	8	283	138	112	108	106	10	515
SM Baird United States	11	168 0.6×	102 0.7×	309 2.8×	129 1.2×	118 1.1×	14	595
M. Stewart United Kingdom	11	361 1.3×	184 1.3×	159 1.4×	54 0.5×	197 1.9×	16	610
Ted A. Torrey United States	16	538 1.9×	235 1.7×	294 2.6×	141 1.3×	221 2.1×	22	996
WF Anderson United States	9	409 1.4×	152 1.1×	79 0.7×	41 0.4×	230 2.2×	11	750
Francesca Calderazzo Italy	14	168 0.6×	83 0.6×	212 1.9×	79 0.7×	66 0.6×	22	489
Monica Stewart United Kingdom	14	505 1.8×	198 1.4×	197 1.8×	71 0.7×	234 2.2×	16	803
Dona N. Ho Hong Kong	13	247 0.9×	137 1.0×	53 0.5×	67 0.6×	85 0.8×	18	485
Louis van de Locht Netherlands	7	388 1.4×	160 1.2×	117 1.0×	35 0.3×	57 0.5×	9	641
David C. Dorn Germany	9	378 1.3×	147 1.1×	105 0.9×	40 0.4×	46 0.4×	14	597
Corinne Millien France	11	144 0.5×	79 0.6×	136 1.2×	83 0.8×	34 0.3×	15	472

Countries citing papers authored by I Givol

Since Specialization

Citations

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

Fields of papers citing papers by I Givol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I Givol

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Schaefer-Klein, Janet, I Givol, Eugene V. Barsov, et al.. (1998). The EV-O-Derived Cell Line DF-1 Supports the Efficient Replication of Avian Leukosis-Sarcoma Viruses and Vectors. Virology. 248(2). 305–311. 174 indexed citations

2.

Givol, I, David Givol, & Stephen H. Hughes. (1998). Overexpression of p21waf1/cip1 arrests the growth of chicken embryo fibroblasts that overexpress E2F1. Oncogene. 16(24). 3115–3122. 10 indexed citations

3.

Givol, I, et al.. (1996). Comparative analysis of the structure and function of the chicken c-myc and v-myc genes: v-myc is a more potent inducer of cell proliferation and apoptosis than c-myc.. PubMed. 12(12). 2611–21. 17 indexed citations

4.

Givol, I, Paul L. Boyer, & Stephen H. Hughes. (1995). Isolation and characterization of the chicken c-sno gene. Gene. 156(2). 271–276. 7 indexed citations

5.

Givol, I, et al.. (1995). Overexpression of human p21waf1/cip1 arrests the growth of chicken embryo fibroblasts transformed by individual oncogenes.. PubMed. 11(12). 2609–18. 20 indexed citations

6.

Givol, I, Ilan Tsarfaty, James H. Resau, et al.. (1994). Bcl-2 expressed using a retroviral vector is localized primarily in the nuclear membrane and the endoplasmic reticulum of chicken embryo fibroblasts.. PubMed. 5(4). 419–29. 29 indexed citations

7.

Givol, I, et al.. (1992). Retroviruses that express different ras mutants cause different types of tumors in chickens.. PubMed. 7(1). 141–6. 3 indexed citations

8.

Pettersson, M, Helena Jernberg‐Wiklund, Christer Sundström, et al.. (1992). Expression of the bcl-2 gene in human multiple myeloma cell lines and normal plasma cells. Blood. 79(2). 495–502. 116 indexed citations

9.

Pettersson, M, et al.. (1992). Expression of the bcl-2 gene in human multiple myeloma cell lines and normal plasma cells. Blood. 79(2). 495–502. 12 indexed citations

10.

Tsujimoto, Yoshihide, Muhammad M. Bashir, I Givol, et al.. (1987). DNA rearrangements in human follicular lymphoma can involve the 5' or the 3' region of the bcl-2 gene.. Proceedings of the National Academy of Sciences. 84(5). 1329–1331. 127 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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