Raphael Ber

1.2k citations
49 papers · 1k · h-index 18

Impact in

    • Bacterial Identification and Susceptibility Testing
  • Genetics top 10%
    • Yersinia bacterium, plague, ectoparasites research

Papers in

Raphael Ber

48 papers receiving 977 citations

Peers

Raphael Ber
Comparison fields: 5 of 86
  • Clinical Biochemistry 77
  • Genetics 302
  • Endocrinology, Diabetes and Metabolism 127
  • Pharmacology 64
  • Molecular Biology 228
Replace Micha A. Haeuptle with:
Micha A. Haeuptle Switzerland
Iván Martínez-Duncker Mexico
Patricia Lamourette France
Helmut Pelzer Germany
Duane E. Ruffner United States
Tatjana Simonic Italy
Kijeong Kim South Korea
Scott Houliston Canada
Yamuna Devi Paila India
Elisabete Cristina Miracca Brazil
Raphael Ber relative to Micha A. Haeuptle Switzerland Micha A. Haeuptle's profile →
Citations per field
00.5×5×10×16×
Micha A. Haeuptle · 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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200486
2 199482
3 200661
4 196960
5 198953
6 198948
7 200244
8 199043
9 199040
10 199240
11 200339
12 199337
13 199633
14 198829
15 198725
16 198925
17 201623
18 201122
19 197818
20 198218

About Raphael Ber

Raphael Ber is a scholar working on Genetics, Clinical Biochemistry, Endocrinology, Diabetes and Metabolism, Molecular Biology and Hematology, having authored 49 papers that have together received 1k indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (13 papers), Bacillus and Francisella bacterial research (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Empathy and Medical Education (3 papers), Innovations in Medical Education (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). The work is most often cited by research in Clinical Biochemistry (77 citations), Genetics (302 citations), Endocrinology, Diabetes and Metabolism (127 citations), Pharmacology (64 citations) and Molecular Biology (228 citations). Raphael Ber has collaborated with scholars based in Israel, Sweden and United States. Frequent co-authors include Violet Daniel, Avigdor Shafferman C, Emanuelle Mamroud, Martin J. Griffin, Baruch Velan, Yehuda Flashner, Sara Beth Cohen, David Gur, Moshe Aftalion and Tamar Bino. Their work appears in journals such as Frontiers in Microbiology, Advances in experimental medicine and biology, Infection and Immunity, Gene and Academic Medicine.

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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