Limor Kliker

1.2k citations
27 papers · 316 · h-index 10

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 17
    • SARS-CoV-2 detection and testing 5
    • COVID-19 Clinical Research Studies 5
    • Bacillus and Francisella bacterial research 4

Limor Kliker

27 papers receiving 316 citations

Peers

Limor Kliker
Comparison fields: 5 of 58
  • Infectious Diseases 233
  • Modeling and Simulation 18
  • Health 29
  • Animal Science and Zoology 29
  • General Dentistry 3
Replace Ital Nemet with:
Ital Nemet Israel
Leo L. H. Luk Hong Kong
Ilona Kronig Switzerland
Michael Aragones United States
David Hillus Germany
Christopher Menne Germany
Bosco Lam Hong Kong
Lara Walotka Germany
Ivan Fan Ngai Hung Hong Kong
Wiebke Moskorz Germany
Limor Kliker relative to Ital Nemet Israel Ital Nemet's profile →
Citations per field
00.5×1.5×
Ital Nemet · 1×
Citations per year

Countries citing papers authored by Limor Kliker

Since Specialization
Citations

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

Fields of papers citing papers by Limor Kliker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202197
2 202135
3 202235
4 202220
5 202217
6 202213
7 202210
8 202110
9 202210
10 20229
11 20239
12 20228
13 20226
14 20225
15 20214
16 20244
17 20224
18 20233
19 20223
20 20213

About Limor Kliker

Limor Kliker is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 316 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (17 papers), SARS-CoV-2 detection and testing (5 papers), COVID-19 Clinical Research Studies (5 papers), Influenza Virus Research Studies (5 papers), Animal Virus Infections Studies (5 papers), Respiratory viral infections research (4 papers), Bacillus and Francisella bacterial research (4 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Infectious Diseases (233 citations), Modeling and Simulation (18 citations), Health (29 citations), Animal Science and Zoology (29 citations) and General Dentistry (3 citations). Limor Kliker has collaborated with scholars based in Israel, United States and Croatia. Frequent co-authors include Michal Mandelboim, Ital Nemet, Ella Mendelson, Gili Regev‐Yochay, Neta S. Zuckerman, Yaniv Lustig, Orna Mor, Sharon Alroy‐Preis, Einav Sapir and Yitshak Kreiss. Their work appears in journals such as Eurosurveillance, International Journal of Infectious Diseases, The Journal of Heart and Lung Transplantation, Vaccines and Viruses.

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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