Shirit Einav

66 papers receiving 2.8k citations

Peers

Shirit Einav
Comparison fields: 5 of 68
  • Hepatology 424
  • Infectious Diseases 287
  • Public Health, Environmental and Occupational Health 404
  • Cell Biology 120
  • Immunology 169
Replace Mohsan Saeed with:
Mohsan Saeed United States
Alessia Ruggieri Germany
Kai Dallmeier Belgium
Dimitri Lavillette France
Artur Kaul Germany
Michael Joyce Canada
Leiliang Zhang China
Guangxiang George Luo United States
Takayuki Hishiki Japan
Jinhong Chang United States
Shirit Einav relative to Mohsan Saeed United States Mohsan Saeed's profile →
Citations per field
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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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010219
2 2008203
3 2017195
4 2012131
5 2018128
6 2018120
7 2015114
8 2004107
9 2007106
10 201888
11 201779
12 201878
13 200275
14 201662
15 201960
16 202359
17 201957
18 201054
19 201953
20 201951

About Shirit Einav

Shirit Einav is a scholar working on Hepatology, Public Health, Environmental and Occupational Health, Infectious Diseases, Cell Biology and Organic Chemistry, having authored 70 papers that have together received 2.8k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (18 papers), Hepatitis C virus research (14 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Synthesis and biological activity (5 papers), Cellular transport and secretion (3 papers), interferon and immune responses (3 papers), RNA Interference and Gene Delivery (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Hepatology (424 citations), Infectious Diseases (287 citations), Public Health, Environmental and Occupational Health (404 citations), Cell Biology (120 citations) and Immunology (169 citations). Shirit Einav has collaborated with scholars based in United States, Belgium and Colombia. Frequent co-authors include Rina Barouch‐Bentov, Jeffrey S. Glenn, Stanford Schor, Szu‐Yuan Pu, Grégory Neveu, Stephen R. Quake, Elena Bekerman, Menashe Elazar, Ella H. Sklan and Doron Gerber. Their work appears in journals such as Antiviral Research, European Journal of Medicinal Chemistry, PLoS Pathogens, Journal of Medicinal Chemistry and Journal of Clinical Investigation.

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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