Raphael Ber

1.2k total citations
45 papers, 986 citations indexed

About

Raphael Ber is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Raphael Ber has authored 45 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Genetics and 6 papers in Oncology. Recurrent topics in Raphael Ber's work include Yersinia bacterium, plague, ectoparasites research (15 papers), Bacillus and Francisella bacterial research (13 papers) and Viral-associated cancers and disorders (4 papers). Raphael Ber is often cited by papers focused on Yersinia bacterium, plague, ectoparasites research (15 papers), Bacillus and Francisella bacterial research (13 papers) and Viral-associated cancers and disorders (4 papers). Raphael Ber collaborates with scholars based in Israel, Sweden and United States. Raphael Ber's co-authors include Violet Daniel, Emanuelle Mamroud, Avigdor Shafferman, Martin J. Griffin, Yehuda Flashner, Sara Cohen, Baruch Velan, Daniela Krämer, Moshe Aftalion and David Gur and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and The Journal of Immunology.

In The Last Decade

Raphael Ber

45 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphael Ber Israel 18 445 413 114 112 93 45 986
Kenichiro Yamada Japan 24 713 1.6× 258 0.6× 72 0.6× 44 0.4× 99 1.1× 94 2.0k
David C. Watson Canada 23 1.6k 3.7× 204 0.5× 26 0.2× 185 1.7× 91 1.0× 36 2.3k
Sandra Smith United States 19 633 1.4× 457 1.1× 15 0.1× 48 0.4× 80 0.9× 51 1.3k
Junko S. Takeuchi Japan 23 1.2k 2.7× 180 0.4× 24 0.2× 349 3.1× 100 1.1× 85 2.1k
C. J. Bruton United Kingdom 18 974 2.2× 186 0.5× 15 0.1× 160 1.4× 50 0.5× 24 1.5k
Neil V. McFerran United Kingdom 18 476 1.1× 67 0.2× 11 0.1× 79 0.7× 104 1.1× 39 1.3k
A.J. Cozzone France 21 973 2.2× 446 1.1× 25 0.2× 82 0.7× 64 0.7× 46 1.3k
G.P. Talwar India 21 285 0.6× 145 0.4× 97 0.9× 227 2.0× 125 1.3× 71 1.1k
Aleš Macela Czechia 18 632 1.4× 219 0.5× 18 0.2× 209 1.9× 25 0.3× 65 1.1k
Graeme L. Conn United States 26 1.5k 3.5× 197 0.5× 17 0.1× 190 1.7× 61 0.7× 83 2.3k

Countries citing papers authored by Raphael Ber

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Ber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphael Ber

This figure shows the co-authorship network connecting the top 25 collaborators of Raphael Ber. A scholar is included among the top collaborators of Raphael Ber 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 Raphael Ber. Raphael Ber 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.
Zaide, Galia, Inbar Cohen-Gihon, Ohad Shifman, et al.. (2023). Global transcriptomic analysis of Francisella tularensis SchuS4 differentially expressed genes in response to doxycycline or ciprofloxacin exposure. BMC Genomic Data. 24(1). 23–23. 1 indexed citations
2.
Shifman, Ohad, Ida Steinberger-Levy, Ronit Aloni-Grinstein, et al.. (2019). A Rapid Antimicrobial Susceptibility Test for Determining Yersinia pestis Susceptibility to Doxycycline by RT-PCR Quantification of RNA Markers. Frontiers in Microbiology. 10. 754–754. 14 indexed citations
3.
Gur, David, Itai Glinert, Moshe Aftalion, et al.. (2018). Inhalational Gentamicin Treatment Is Effective Against Pneumonic Plague in a Mouse Model. Frontiers in Microbiology. 9. 741–741. 15 indexed citations
4.
Zahavy, Eran, Shahar Rotem, David Gur, et al.. (2018). Rapid Antibiotic Susceptibility Determination for Yersinia pestis Using Flow Cytometry Spectral Intensity Ratio (SIR) Fluorescence Analysis. Journal of Fluorescence. 28(5). 1151–1161. 9 indexed citations
5.
6.
Steinberger-Levy, Ida, Ohad Shifman, Anat Zvi, et al.. (2016). A Rapid Molecular Test for Determining Yersinia pestis Susceptibility to Ciprofloxacin by the Quantification of Differentially Expressed Marker Genes. Frontiers in Microbiology. 7. 763–763. 23 indexed citations
7.
8.
Ber, Raphael, Moshe Aftalion, Sara Cohen, et al.. (2007). Enrichment of Yersinia pestis from Blood Cultures Enables Rapid Antimicrobial Susceptibility Determination by Flow Cytometry. Advances in experimental medicine and biology. 603. 339–350. 15 indexed citations
9.
Ber, Raphael, Emanuelle Mamroud, Moshe Aftalion, et al.. (2006). A New Selective Medium Provides Improved Growth and Recoverability of Yersinia pestis. Kluwer Academic Publishers eBooks. 529. 467–468. 2 indexed citations
10.
Flashner, Yehuda, Emanuelle Mamroud, Avital Tidhar, et al.. (2006). Identification of Genes Involved in Yersinia pestis Virulence by Signature-tagged Mutagenesis. Kluwer Academic Publishers eBooks. 529. 31–33. 6 indexed citations
11.
Barkey, Ronnie J., et al.. (1994). Prolactin and Testicular Leydig Cell Function: Characterization of Prolactin Receptors in the Murine MA-10 Testicular Leydig Cell Line. Experimental Biology and Medicine. 206(3). 243–248. 10 indexed citations
12.
Shafferman, Avigdor, Arie Ordentlich, Dov Barak, et al.. (1994). Electrostatic attraction by surface charge does not contribute to the catalytic efficiency of acetylcholinesterase.. The EMBO Journal. 13(15). 3448–3455. 69 indexed citations
13.
Ber, Raphael & Violet Daniel. (1993). Sequence analysis suggests a recent duplication of the growth hormoneencoding gene in Tilapia nilotica. Gene. 125(2). 143–150. 37 indexed citations
14.
Ber, Raphael & Violet Daniel. (1992). Structure and sequence of the growth hormone-encoding gene from Tilapia nilotica. Gene. 113(2). 245–250. 38 indexed citations
15.
Ber, Raphael, N. Navot, Dani Zamir, et al.. (1990). Infection of tomato by the tomato yellow leaf curl virus: susceptibility to infection, symptom development, and accumulation of viral DNA. Archives of Virology. 112(3-4). 169–180. 32 indexed citations
16.
Krämer, Daniela, Raphael Ber, & Michael Moore. (1989). Increasing empathy among medical students. Medical Education. 23(2). 168–173. 52 indexed citations
17.
Sarid, Sara, et al.. (1989). Carp growth hormone: molecular cloning and sequencing of cDNA. Gene. 77(2). 309–315. 46 indexed citations
18.
Krämer, Daniela, Raphael Ber, & Michael Moore. (1987). Impact of workshop on studentsʼ and physiciansʼ rejecting behaviors in patient interviews. Academic Medicine. 62(11). 904–10. 27 indexed citations
19.
Ber, Raphael, George Klein, Martin H. Moar, et al.. (1978). Somatic cell hybrids between human lymphoma lines. IV. Establishment and characterization of a p3HR‐1/daudi hybrid. International Journal of Cancer. 21(6). 707–719. 15 indexed citations
20.
Ber, Raphael, E M Fenyö, & George Klein. (1978). Cell surface antigen expression in cytoplasts and karyoplasts of mouse L cells. Cancer Letters. 5(2). 69–73. 1 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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