Lior Nesher

72 papers receiving 1.4k citations

Hit Papers

BNT162b2 vaccine breakthrough: clinical characteristics of 152 fully vaccinated hospitalized COVID-19 patients in Israel 2021 · 199 citations
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Peers

Lior Nesher
Comparison fields: 5 of 130
  • Molecular Medicine 189
  • Applied Microbiology and Biotechnology 65
  • Infectious Diseases 503
  • Clinical Biochemistry 141
  • Epidemiology 577
Replace Yael Shachor‐Meyouhas with:
Yael Shachor‐Meyouhas Israel
Pritish K. Tosh United States
Elisa Cordero Spain
Christian Rabaud France
Matthew P. Cheng Canada
Thomas Bénet France
Joong Sik Eom South Korea
Robert M. Rakita United States
Raúl Istúriz United States
Thøger Gorm Jensen Denmark
Lior Nesher relative to Yael Shachor‐Meyouhas Israel Yael Shachor‐Meyouhas's profile →
Citations per field
00.5×1.5×1.9×
Yael Shachor‐Meyouhas · 1×
Citations per year

Countries citing papers authored by Lior Nesher

Since Specialization
Citations

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

Fields of papers citing papers by Lior Nesher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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18 2013143
19 2012107
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About Lior Nesher

Lior Nesher is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine, Clinical Biochemistry, Microbiology and Infectious Diseases, having authored 75 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (14 papers), Antibiotic Resistance in Bacteria (12 papers), Neutropenia and Cancer Infections (9 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Antibiotic Use and Resistance (7 papers), Antifungal resistance and susceptibility (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Urinary Tract Infections Management (5 papers). The work is most often cited by research in Molecular Medicine (189 citations), Applied Microbiology and Biotechnology (65 citations), Infectious Diseases (503 citations), Clinical Biochemistry (141 citations) and Epidemiology (577 citations). Lior Nesher has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Kenneth V. I. Rolston, Roy F. Chemaly, Ella Ariza‐Heredia, K. V. I. Rolston, Carmi Bartal, Dimpy P. Shah, Arthur Shiyovich, Jeffrey Tarrand, ‪Yasmin Maor‬‏ and Galia Rahav. Their work appears in journals such as Infectious Diseases and Therapy, Infection, Infection Control and Hospital Epidemiology, Journal of Clinical Medicine and The Journal of Antibiotics.

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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