Raphael Ber

1.2k citations
45 papers · 986 indexed · h-index 18

Impact in

  • Genetics top 5%
    • Yersinia bacterium, plague, ectoparasites research
    • Animal Genetics and Reproduction

Papers in

Raphael Ber

45 papers receiving 942 citations

Peers

Raphael Ber
Comparison fields: 5 of 113
  • Genetics 413
  • Endocrinology 61
  • Clinical Biochemistry 78
  • Family Practice 23
  • Parasitology 64
Replace Yaakov Pollack with:
Yaakov Pollack Israel
Claire Adams United States
Israel D. Algranati Argentina
Graeme L. Conn United States
Amit P. Bhavsar Canada
R. Peters Netherlands
B. S. Wostmann United States
Aleš Macela Czechia
Karina Persson Sweden
Joanne M. Stevens United Kingdom
Raphael Ber relative to Yaakov Pollack Israel Yaakov Pollack's profile →
Citations per field
00.5×4.1×
Yaakov Pollack · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Raphael Ber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raphael Ber Line = papers co-authored together Raphael Ber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200484
2 199469
3 200658
4 196955
5 198952
6 198946
7 199045
8 200239
9 199238
10 200338
11 199337
12 199032
13 199631
14 198828
15 198727
16 201623
17 198920
18 198718
19 198217
20 201117

About Raphael Ber

Raphael Ber is a scholar working on Genetics, Clinical Biochemistry, Parasitology, Pharmacology and Endocrinology, having authored 45 papers that have together received 986 indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (15 papers), Bacillus and Francisella bacterial research (13 papers), Viral-associated cancers and disorders (4 papers), Plant-based Medicinal Research (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Immune Cell Function and Interaction (3 papers) and Vector-borne infectious diseases (3 papers). The work is most often cited by research in Genetics (413 citations), Endocrinology (61 citations), Clinical Biochemistry (78 citations), Family Practice (23 citations) and Parasitology (64 citations). Raphael Ber has collaborated with scholars based in Israel, Sweden and United States. Frequent co-authors include Violet Daniel, Emanuelle Mamroud, Avigdor Shafferman, Martin J. Griffin, Baruch Velan, Sara Cohen, Yehuda Flashner, Daniela Krämer, Moshe Aftalion and David Gur. Their work appears in journals such as Frontiers in Microbiology, Advances in experimental medicine and biology, Gene, JNCI Journal of the National Cancer Institute and Infection and Immunity.

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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