Shirit Einav

3.9k citations
61 papers · 2.5k · h-index 28

Impact in

  • Hepatology top 1%
    • Hepatitis C virus research
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors
    • COVID-19 Clinical Research Studies

Papers in

Shirit Einav

57 papers receiving 2.5k citations

Peers

Shirit Einav
Comparison fields: 5 of 107
  • Hepatology 501
  • Infectious Diseases 692
  • Virology 170
  • Public Health, Environmental and Occupational Health 532
  • Immunology 400
Replace Toru Okamoto with:
Toru Okamoto Japan
Leiliang Zhang China
Andrea Cuconati United States
Takayuki Hishiki Japan
Takasuke Fukuhara Japan
Stephen Griffin United Kingdom
Luis M. Schang United States
James Tamura United States
Guangxiang Luo United States
Hong Xie United States
Shirit Einav relative to Toru Okamoto Japan Toru Okamoto's profile →
Citations per field
00.5×1.5×1.8×
Toru Okamoto · 1×
Citations per year

Countries citing papers authored by Shirit Einav

Since Specialization
Citations

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

Fields of papers citing papers by Shirit Einav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008197
2 2017180
3 2015153
4 2012124
5 2018118
6 2018110
7 2004108
8 2015106
9 2007104
10 201881
11 200276
12 201773
13 201869
14 201660
15 201955
16 201952
17 201951
18 201050
19 201549
20 202346

About Shirit Einav

Shirit Einav is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology, Hepatology and Epidemiology, having authored 61 papers that have together received 2.5k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (22 papers), Hepatitis C virus research (14 papers), Viral Infections and Vectors (10 papers), interferon and immune responses (8 papers), Hepatitis B Virus Studies (7 papers), Viral Infections and Outbreaks Research (7 papers), Biochemical and Molecular Research (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Hepatology (501 citations), Infectious Diseases (692 citations), Virology (170 citations), Public Health, Environmental and Occupational Health (532 citations) and Immunology (400 citations). Shirit Einav has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Elena Bekerman, Rina Barouch‐Bentov, Jeffrey S. Glenn, Stanford Schor, Szu‐Yuan Pu, Grégory Neveu, Stephen R. Quake, Menashe Elazar, Ella H. Sklan and Doron Gerber. Their work appears in journals such as Antiviral Research, European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Cell Reports and PLoS Pathogens.

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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