Amalia Tabib

507 total citations
10 papers, 415 citations indexed

About

Amalia Tabib is a scholar working on Molecular Biology, Biochemistry and Pharmacology. According to data from OpenAlex, Amalia Tabib has authored 10 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Biochemistry and 3 papers in Pharmacology. Recurrent topics in Amalia Tabib's work include Amino Acid Enzymes and Metabolism (6 papers), Polyamine Metabolism and Applications (6 papers) and Epigenetics and DNA Methylation (6 papers). Amalia Tabib is often cited by papers focused on Amino Acid Enzymes and Metabolism (6 papers), Polyamine Metabolism and Applications (6 papers) and Epigenetics and DNA Methylation (6 papers). Amalia Tabib collaborates with scholars based in Israel, Bulgaria and United States. Amalia Tabib's co-authors include Uriel Bachrach, Howard Cedar, Merav Hecht, Alon Goren, Ilana Keshet, Ofra Sabag, Joshua Moss, Tamar Kahan, Nissim Benvenisty and Yuval Tabach and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Biochemical and Biophysical Research Communications.

In The Last Decade

Amalia Tabib

10 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amalia Tabib Israel	8	379	108	50	37	21	10	415
J Mikkelsen Denmark	8	261 0.7×	63 0.6×	26 0.5×	13 0.4×	11 0.5×	10	347
Omri Erez Israel	8	279 0.7×	58 0.5×	32 0.6×	10 0.3×	16 0.8×	13	324
T van Daalen Wetters United States	9	468 1.2×	286 2.6×	90 1.8×	43 1.2×	12 0.6×	11	507
Christopher M. Amy United States	8	380 1.0×	54 0.5×	75 1.5×	35 0.9×	9 0.4×	11	490
Madhu Macrae United States	9	600 1.6×	281 2.6×	110 2.2×	34 0.9×	11 0.5×	10	695
Rita Wechter United States	14	507 1.3×	278 2.6×	136 2.7×	11 0.3×	20 1.0×	17	537
Sneha Ghosh Chaudhary France	7	398 1.1×	179 1.7×	7 0.1×	60 1.6×	39 1.9×	10	493
Myung‐Min Choi South Korea	10	163 0.4×	40 0.4×	21 0.4×	13 0.4×	22 1.0×	20	338
Tuula K. Torkkeli Finland	12	258 0.7×	119 1.1×	18 0.4×	81 2.2×	61 2.9×	16	444
Kristen A. Jeffries United States	10	258 0.7×	49 0.5×	37 0.7×	8 0.2×	25 1.2×	12	353

Countries citing papers authored by Amalia Tabib

Since Specialization

Citations

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

Fields of papers citing papers by Amalia Tabib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amalia Tabib

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

All Works

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10 of 10 papers shown

1.

Tabib, Amalia, Ilana Keshet, Joshua Moss, et al.. (2018). Role of transcription complexes in the formation of the basal methylation pattern in early development. Proceedings of the National Academy of Sciences. 115(41). 10387–10391. 16 indexed citations

2.

Hecht, Merav, Amalia Tabib, Tamar Kahan, et al.. (2017). Epigenetic mechanism of FMR1 inactivation in Fragile X syndrome. The International Journal of Developmental Biology. 61(3-4-5). 285–292. 13 indexed citations

3.

Sabag, Ofra, Ilana Keshet, Merav Hecht, et al.. (2013). Establishment of methylation patterns in ES cells. Nature Structural & Molecular Biology. 21(1). 110–112. 30 indexed citations

4.

Goren, Alon, Amalia Tabib, Merav Hecht, & Howard Cedar. (2008). DNA replication timing of the human β-globin domain is controlled by histone modification at the origin. Genes & Development. 22(10). 1319–1324. 105 indexed citations

5.

Tabib, Amalia. (2003). Determination of Ornithine Decarboxylase Activity Using [<SUP>3</SUP>H]Ornithine. Humana Press eBooks. 79. 33–40. 2 indexed citations

6.

Bachrach, Uriel, et al.. (2001). Polyamines: New Cues in Cellular Signal Transduction. Physiology. 16(3). 106–109. 103 indexed citations

7.

Tabib, Amalia, et al.. (2000). Effects of testosterone and 17, β– estradiol on the polyamine metabolism in cultivated normal rat kidney epithelial cells. Amino Acids. 18(4). 353–361. 6 indexed citations

8.

Tabib, Amalia & Uriel Bachrach. (1999). Role of polyamines in mediating malignant transformation and oncogene expression. The International Journal of Biochemistry & Cell Biology. 31(11). 1289–1295. 56 indexed citations

9.

Tabib, Amalia & Uriel Bachrach. (1998). Polyamines induce malignant transformation in cultured NIH 3T3 fibroblasts. The International Journal of Biochemistry & Cell Biology. 30(1). 135–146. 30 indexed citations

10.

Tabib, Amalia & Uriel Bachrach. (1994). Activation of the Proto-oncogene c-myc and c-fos by c-ras: Involvement of Polyamines. Biochemical and Biophysical Research Communications. 202(2). 720–727. 54 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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