Liat Bar‐On

1.2k citations
17 papers · 965 · h-index 10

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Atherosclerosis and Cardiovascular Diseases

Papers in

    • Immunotherapy and Immune Responses 10
    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 5
    • SARS-CoV-2 and COVID-19 Research 8
    • COVID-19 Clinical Research Studies 2

Liat Bar‐On

17 papers receiving 954 citations

Peers

Liat Bar‐On
Comparison fields: 5 of 71
  • Immunology 723
  • Immunology and Allergy 55
  • Neurology 62
  • Oncology 152
  • Infectious Diseases 56
Replace Javier Vega‐Ramos with:
Javier Vega‐Ramos Australia
Émeline Pollet France
Robert Tacke United States
Nital Sumaria United Kingdom
Patricia E. Korty United States
Katharina‐Susanne Spanaus Switzerland
Guillaume Darrasse-Jèze France
Noah Tubo United States
Jason T. White United States
Sandra Zehentmeier Germany
Liat Bar‐On relative to Javier Vega‐Ramos Australia Javier Vega‐Ramos's profile →
Citations per field
00.5×1.5×
Javier Vega‐Ramos · 1×
Citations per year

Countries citing papers authored by Liat Bar‐On

Since Specialization
Citations

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

Fields of papers citing papers by Liat Bar‐On

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liat Bar‐On. 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 Liat Bar‐On. The network helps show where Liat Bar‐On may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008366
2 2008180
3 2010134
4 201064
5 201055
6 201542
7 200941
8 201126
9 202121
10 20149
11 20247
12 20235
13 20235
14 20254
15 20174
16 20211
17 20221

About Liat Bar‐On

Liat Bar‐On is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Neurology and Virology, having authored 17 papers that have together received 965 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Poxvirus research and outbreaks (2 papers), COVID-19 Clinical Research Studies (2 papers), Long-Term Effects of COVID-19 (2 papers) and vaccines and immunoinformatics approaches (2 papers). The work is most often cited by research in Immunology (723 citations), Immunology and Allergy (55 citations), Neurology (62 citations), Oncology (152 citations) and Infectious Diseases (56 citations). Liat Bar‐On has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Steffen Jung, Ki-Wook Kim, Rita Krauthgamer, Tal Birnberg, Alma Zernecke, Limor Landsman, Irving L. Weissman, Sérgio A. Lira, Erdenechimeg Shagdarsuren and Christian Weber. Their work appears in journals such as Vaccines, PLoS ONE, Immunity, Immunological Reviews and Current Issues in Molecular Biology.

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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