Efrat Bucris

1.1k citations
31 papers · 710 · h-index 14

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • MicroRNA in disease regulation

Papers in

    • SARS-CoV-2 and COVID-19 Research 13
    • SARS-CoV-2 detection and testing 9
    • Viral gastroenteritis research and epidemiology 3
    • Renal and related cancers 3

Efrat Bucris

30 papers receiving 702 citations

Peers

Efrat Bucris
Comparison fields: 5 of 77
  • Infectious Diseases 287
  • Cancer Research 127
  • Virology 23
  • Genetics 47
  • Molecular Biology 305
Replace Luis F. Cunha with:
Luis F. Cunha United States
Po-Chun Tseng Taiwan
Atanu K. Khatua United States
Katherine R. Balka Australia
Bharath Sreekumar United States
Lee-Ann Van de Velde United States
Pehuén Pereyra Gerber Argentina
Eric Cross United States
Valarmathy Murugaiah United Kingdom
Efrat Bucris relative to Luis F. Cunha United States Luis F. Cunha's profile →
Citations per field
00.5×5.8×
Luis F. Cunha · 1×
Citations per year

Countries citing papers authored by Efrat Bucris

Since Specialization
Citations

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

Fields of papers citing papers by Efrat Bucris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Efrat Bucris, 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 Efrat Bucris Line = papers co-authored together Efrat Bucris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013200
2 202180
3 201862
4 202352
5 201643
6 201736
7 201933
8 201029
9 202122
10 201621
11 202017
12 202116
13 202014
14 202213
15 202211
16 202110
17 20229
18 20226
19 20215
20 20185

About Efrat Bucris

Efrat Bucris is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Animal Science and Zoology and Immunology, having authored 31 papers that have together received 710 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (13 papers), SARS-CoV-2 detection and testing (9 papers), Virology and Viral Diseases (4 papers), Respiratory viral infections research (4 papers), Renal and related cancers (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Animal Virus Infections Studies (3 papers) and Malaria Research and Control (2 papers). The work is most often cited by research in Infectious Diseases (287 citations), Cancer Research (127 citations), Virology (23 citations), Genetics (47 citations) and Molecular Biology (305 citations). Efrat Bucris has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Ella Mendelson, Neta S. Zuckerman, Danit Sofer, Yaniv Lustig, Chaya Brodie, Orna Mor, Tom Mikkelsen, Laura Hasselbach, Shimon Slavin and Hae Kyung Lee. Their work appears in journals such as Viruses, PLoS ONE, Scientific Reports, Eurosurveillance and Vaccines.

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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