Judith Leibovici

806 total citations
83 papers, 698 citations indexed

About

Judith Leibovici is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Judith Leibovici has authored 83 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 29 papers in Oncology and 20 papers in Immunology. Recurrent topics in Judith Leibovici's work include Microbial Metabolites in Food Biotechnology (16 papers), Glycosylation and Glycoproteins Research (14 papers) and Polyamine Metabolism and Applications (11 papers). Judith Leibovici is often cited by papers focused on Microbial Metabolites in Food Biotechnology (16 papers), Glycosylation and Glycoproteins Research (14 papers) and Polyamine Metabolism and Applications (11 papers). Judith Leibovici collaborates with scholars based in Israel, United States and France. Judith Leibovici's co-authors include M. Wolman, Monica Huszar, M Michowitz, Uriel Bachrach, Orit Itzhaki, S Hoenig, Natalie Donin, Ehud Skutelsky, O. Klein and A Siegal and has published in prestigious journals such as Journal of Molecular Biology, JNCI Journal of the National Cancer Institute and Biochemical and Biophysical Research Communications.

In The Last Decade

Judith Leibovici

82 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Judith Leibovici Israel 15 318 238 196 97 59 83 698
N M Greenberg United States 7 477 1.5× 185 0.8× 109 0.6× 47 0.5× 143 2.4× 11 926
Oihana Murillo Spain 18 313 1.0× 544 2.3× 642 3.3× 113 1.2× 100 1.7× 26 1.2k
Steve McClellan United States 9 380 1.2× 321 1.3× 101 0.5× 148 1.5× 169 2.9× 11 771
E J Beecham United States 7 389 1.2× 192 0.8× 146 0.7× 24 0.2× 91 1.5× 10 661
Katherine A. Felts United States 13 428 1.3× 164 0.7× 232 1.2× 35 0.4× 170 2.9× 19 836
Nozomu Hibi Japan 15 526 1.7× 141 0.6× 113 0.6× 21 0.2× 42 0.7× 46 901
Eli Moallem Israel 12 461 1.4× 321 1.3× 76 0.4× 64 0.7× 62 1.1× 13 768
Josephine A. Carew United States 16 626 2.0× 132 0.6× 245 1.3× 27 0.3× 125 2.1× 32 1.1k
Tomas Bratt Denmark 11 372 1.2× 68 0.3× 166 0.8× 30 0.3× 90 1.5× 21 776
Jill O’Donnell-Tormey United States 11 264 0.8× 234 1.0× 176 0.9× 30 0.3× 135 2.3× 15 684

Countries citing papers authored by Judith Leibovici

Since Specialization
Citations

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

Fields of papers citing papers by Judith Leibovici

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judith Leibovici

This figure shows the co-authorship network connecting the top 25 collaborators of Judith Leibovici. A scholar is included among the top collaborators of Judith Leibovici 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 Judith Leibovici. Judith Leibovici 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.
Itzhaki, Orit, et al.. (2007). Decreased DNA ploidy may constitute a mechanism of the reduced malignant behavior of B16 melanoma in aged mice. Experimental Gerontology. 43(3). 164–175. 4 indexed citations
2.
Kaptzan, Tatiana, et al.. (2006). Efficacy of anti-angiogenic treatment of tumors in old versus young mice. Mechanisms of Ageing and Development. 127(4). 398–409. 15 indexed citations
3.
Skutelsky, Ehud, et al.. (2004). Age-dependent differences in the efficacy of cancer immunotherapy in C57BL and AKR mouse strains. Experimental Gerontology. 39(7). 1035–1048. 12 indexed citations
4.
Itzhaki, Orit, et al.. (2003). Age-adjusted antitumoral therapy based on the demonstration of increased apoptosis as a mechanism underlying the reduced malignancy of tumors in the aged. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1688(2). 145–159. 15 indexed citations
5.
Itzhaki, Orit, et al.. (2003). Ageing–apoptosis relation in murine spleen. Mechanisms of Ageing and Development. 124(10-12). 999–1012. 23 indexed citations
6.
Kaptzan, Tatiana, Ehud Skutelsky, M Michowitz, et al.. (2002). Sensitivity to Macrophages Decreases with Tumor Progression in the AKR Lymphoma. Advances in experimental medicine and biology. 479. 263–275. 1 indexed citations
7.
Sharabi, Yehonatan, et al.. (2001). Effect of Hyperthermia on AKR Lymphoma Variants Differing in Degree of Malignancy. Cancer Investigation. 19(8). 791–798.
8.
Donin, Natalie, et al.. (2000). Apoptosis and Cell Proliferation Capacity in AKR Lymphoma Malignancy Variants. Cancer Investigation. 18(8). 702–714. 2 indexed citations
9.
Klein, O., A. Staroselsky, Monica Huszar, et al.. (1998). Biological behavior and cell properties of new AKR lymphoma malignancy variants. Tissue and Cell. 30(1). 95–103. 4 indexed citations
10.
Donin, Natalie, et al.. (1997). Comparison of Growth Rate of Two B16 Melanomas Differing in Metastatic Potential in Young Versus Middle-Aged Mice. Cancer Investigation. 15(5). 416–421. 15 indexed citations
11.
Klein, O., Naphtali Savion, A. Staroselsky, et al.. (1996). Metastasis-related cell functions in primary and metastatic tumor cells of AKR lymphoma. Cancer Letters. 101(2). 219–225. 2 indexed citations
12.
Klein, O., et al.. (1995). Metastasis-associated cell functions in AKR lymphoma malignancy variants.. PubMed. 15(5-6). 211–21. 4 indexed citations
13.
Donin, Natalie, et al.. (1995). Role of immune response as determinant of tumor progression in function of host age in the B16 melanoma. Mechanisms of Ageing and Development. 80(2). 121–137. 12 indexed citations
14.
Maymon, Ron, et al.. (1994). Augmentative Effects of Intracellular Chemotherapy Penetration Combined with Hyperthermia in Human Ovarian Cancer Cells Lines. Gynecologic Oncology. 55(2). 265–270. 19 indexed citations
15.
Leibovici, Judith, et al.. (1994). Antitumoral activity of an immunomodulatory fraction of Nocardia opaca: Mechanism of action. International Journal of Immunopharmacology. 16(5-6). 475–480. 4 indexed citations
16.
Maymon, Ron, et al.. (1994). Enhancing effect of ATP on intracellular adriamycin penetration in human ovarian cancer cell lines. Biochimica et Biophysica Acta (BBA) - General Subjects. 1201(2). 173–178. 11 indexed citations
17.
Savion, Naphtali, et al.. (1992). Cellular Functions Related to Metastasis Differing between Low- and High-Malignancy Variants of AKR Lymphoma. Pathobiology. 60(3). 157–162. 4 indexed citations
18.
19.
Hoenig, S, et al.. (1990). Combined Effect in vitro of Chemotherapy with Agents Acting on the Cell Membrane of Lewis Lung Carcinoma. Chemotherapy. 36(3). 230–239. 5 indexed citations
20.
Ben‐Efraim, Shlomo, et al.. (1988). Successful Contact Sensitization to Chromate in Mice. International Archives of Allergy and Immunology. 85(4). 452–457. 14 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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