Alexander Faerman

3.2k total citations
41 papers, 2.8k citations indexed

About

Alexander Faerman is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Alexander Faerman has authored 41 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Genetics and 7 papers in Cancer Research. Recurrent topics in Alexander Faerman's work include Animal Genetics and Reproduction (13 papers), Muscle Physiology and Disorders (6 papers) and Virus-based gene therapy research (5 papers). Alexander Faerman is often cited by papers focused on Animal Genetics and Reproduction (13 papers), Muscle Physiology and Disorders (6 papers) and Virus-based gene therapy research (5 papers). Alexander Faerman collaborates with scholars based in Israel, United States and Russia. Alexander Faerman's co-authors include Moshe Shani, Elena Feinstein, Rami Skaliter, Charles P. Emerson, Tzipora Shoshani, Hagar Kalinski, Paz Einat, David J. Goldhamer, Ayelet Chajut and Andrei V. Gudkov and has published in prestigious journals such as Science, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Alexander Faerman

39 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Faerman Israel 23 2.0k 590 427 319 279 41 2.8k
Arthur Gutierrez‐Hartmann United States 27 1.8k 0.9× 497 0.8× 421 1.0× 419 1.3× 175 0.6× 79 2.8k
Rami Skaliter Israel 15 1.6k 0.8× 519 0.9× 304 0.7× 331 1.0× 108 0.4× 19 2.3k
Giuseppina Caretti Italy 27 2.4k 1.2× 555 0.9× 286 0.7× 265 0.8× 191 0.7× 42 2.8k
D. S. Grant United States 17 1.5k 0.8× 558 0.9× 221 0.5× 374 1.2× 324 1.2× 22 2.8k
Michael Zimmer United States 24 1.6k 0.8× 817 1.4× 463 1.1× 711 2.2× 360 1.3× 52 3.1k
Salvatore Travali Italy 29 1.8k 0.9× 454 0.8× 287 0.7× 904 2.8× 268 1.0× 96 2.9k
Frédéric Mazurier France 29 1.6k 0.8× 457 0.8× 299 0.7× 498 1.6× 199 0.7× 67 2.8k
Abir Mukherjee United States 32 2.0k 1.0× 849 1.4× 447 1.0× 513 1.6× 400 1.4× 82 3.6k
Kazue Hattori United States 10 2.3k 1.2× 463 0.8× 462 1.1× 585 1.8× 119 0.4× 13 3.2k
Rodolfo Iuliano Italy 28 1.7k 0.9× 631 1.1× 331 0.8× 327 1.0× 211 0.8× 75 2.6k

Countries citing papers authored by Alexander Faerman

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Faerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Faerman

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Faerman. A scholar is included among the top collaborators of Alexander Faerman 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 Alexander Faerman. Alexander Faerman 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.
Elyakim, Eran, Einat Sitbon, Alexander Faerman, et al.. (2010). hsa-miR-191 Is a Candidate Oncogene Target for Hepatocellular Carcinoma Therapy. Cancer Research. 70(20). 8077–8087. 126 indexed citations
2.
Aharonov, Ranit, Ayelet Chajut, Yael Spector, et al.. (2010). A second-generation microRNA-based assay for diagnosing tumor tissue origin. Clinical Cancer Research. 16(19_Supplement). A28–A28. 1 indexed citations
3.
Timothy, Nigel H., Allen C. Clermont, Susan L. Rook, et al.. (2005). Diabetes–Induced Abnormalities in Retinal Vascular Permeability (RVP) & Electroretinogram (ERG) Are Normalized in RTP801/REDD1 Knockout (KO) Mice. Investigative Ophthalmology & Visual Science. 46(13). 427–427. 1 indexed citations
4.
Wechsler, Andrew S., Millicent Shafir, Maura Heverin, et al.. (2003). Generation of Viable Cholesterol-Free Mice. Science. 302(5653). 2087–2087. 150 indexed citations
5.
Segev, Orit, Alexander Faerman, Hagar Kalinski, et al.. (2003). CMF608—a novel mechanical strain-induced bone-specific protein expressed in early osteochondroprogenitor cells. Bone. 34(2). 246–260. 16 indexed citations
6.
Shoshani, Tzipora, Alexander Faerman, Igor Mett, et al.. (2002). Identification of a Novel Hypoxia-Inducible Factor 1-Responsive Gene, RTP801 , Involved in Apoptosis. Molecular and Cellular Biology. 22(7). 2283–2293. 479 indexed citations
7.
Budanov, Andrei V., Tzipora Shoshani, Alexander Faerman, et al.. (2002). Identification of a novel stress-responsive gene Hi95 involved in regulation of cell viability. Oncogene. 21(39). 6017–6031. 315 indexed citations
8.
Tidhar, Avital, Dana Cohen, Alexander Faerman, et al.. (2001). A novel transgenic marker for migrating limb muscle precursors and for vascular smooth muscle cells. Developmental Dynamics. 220(1). 60–73. 53 indexed citations
9.
Klinghoffer, Richard A., et al.. (2001). The Two PDGF Receptors Maintain Conserved Signaling In Vivo despite Divergent Embryological Functions. Molecular Cell. 7(2). 343–354. 116 indexed citations
10.
Комарова, Е А, Konstantin Christov, Alexander Faerman, & Andrei V. Gudkov. (2000). Different impact of p53 and p21 on the radiation response of mouse tissues. Oncogene. 19(33). 3791–3798. 105 indexed citations
11.
Barash, Itamar, et al.. (1999). In vivo and in vitro expression of human serum albumin genomic sequences in mammary epithelial cells with ?-lactoglobulin and whey acidic protein promoters. Molecular Reproduction and Development. 52(3). 241–252. 16 indexed citations
12.
Faerman, Alexander & Moshe Shani. (1997). Chapter 18 Transgenic Mice: Production and Analysis of Expression. Methods in cell biology. 52. 373–403. 7 indexed citations
13.
14.
Pinney, Deborah F., Fabienne Charles de la Brousse, Alexander Faerman, et al.. (1995). Quail MyoD Is Regulated by a Complex Array of cis-Acting Control Sequences. Developmental Biology. 170(1). 21–38. 19 indexed citations
15.
Faerman, Alexander, David J. Goldhamer, Raisa Puzis, Charles P. Emerson, & Moshe Shani. (1995). The Distal Human myoD Enhancer Sequences Direct Unique Muscle-Specific Patterns of lacZ Expression during Mouse Development. Developmental Biology. 171(1). 27–38. 43 indexed citations
16.
Barash, Itamar, et al.. (1993). Synthesis and secretion of human serum albumin by mammary gland explants of virgin and lactating transgenic mice. Transgenic Research. 2(5). 266–276. 25 indexed citations
17.
Faerman, Alexander, et al.. (1989). A 90-kd surface antigen from a subpopulation of smooth muscle cells from human atherosclerotic lesions.. PubMed. 134(2). 305–13. 15 indexed citations
18.
Chervonsky, Alexander V., et al.. (1988). A simple metabolic system for selection of hybrid hybridomas (tetradomas) producing bispecific monoclonal antibodies. Molecular Immunology. 25(9). 913–915. 9 indexed citations
19.
Danilov, Sergei M., et al.. (1987). Immunohistochemical study of angiotensin-converting enzyme in human tissues using monoclonal antibodies. Histochemistry and Cell Biology. 87(5). 487–490. 66 indexed citations
20.
Faerman, Alexander, et al.. (1985). Selective killing of smooth muscle cells in culture by the ricin A-chain conjugated with monoclonal antibodies to a cell surface antigen via a dextran bridge. Cellular and Molecular Life Sciences. 41(10). 1342–1344. 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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