Adva Levy‐Barda

695 citations
14 papers · 328 · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • COVID-19 and healthcare impacts
    • Cancer Immunotherapy and Biomarkers
    • Cancer-related Molecular Pathways

Papers in

    • DNA Repair Mechanisms 3
    • Single-cell and spatial transcriptomics 2
    • Extracellular vesicles in disease 2
    • Ubiquitin and proteasome pathways 2
    • SARS-CoV-2 and COVID-19 Research 3
    • COVID-19 Clinical Research Studies 2

Adva Levy‐Barda

13 papers receiving 325 citations

Peers

Adva Levy‐Barda
Comparison fields: 5 of 48
  • Infectious Diseases 164
  • Oncology 178
  • Health 28
  • Molecular Biology 127
  • Immunology 39
Replace Dongyeob Seo with:
Dongyeob Seo South Korea
Thomas E. Bickett United States
Stefano Di Cecca Italy
Tomoka Nakamura United States
Shahrooz Eshaghian United States
Audrey Defusco United States
Hamish Houston United Kingdom
Sanket Desai India
Nargess Hassanzadeh‐Kiabi United States
Hongya Han Sweden
Adva Levy‐Barda relative to Dongyeob Seo South Korea Dongyeob Seo's profile →
Citations per field
00.5×12×
Dongyeob Seo · 1×
Citations per year

Countries citing papers authored by Adva Levy‐Barda

Since Specialization
Citations

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

Fields of papers citing papers by Adva Levy‐Barda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adva Levy‐Barda. 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 Adva Levy‐Barda. The network helps show where Adva Levy‐Barda may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2021170
2 201150
3 201841
4 202123
5 201711
6 20239
7 20236
8 20235
9 20224
10 20233
11 20243
12 20242
13 20221
14 20230

About Adva Levy‐Barda

Adva Levy‐Barda is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Cell Biology and Cancer Research, having authored 14 papers that have together received 328 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), DNA Repair Mechanisms (3 papers), Single-cell and spatial transcriptomics (2 papers), COVID-19 Clinical Research Studies (2 papers), Microtubule and mitosis dynamics (2 papers), Cancer Genomics and Diagnostics (2 papers), Extracellular vesicles in disease (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Infectious Diseases (164 citations), Oncology (178 citations), Health (28 citations), Molecular Biology (127 citations) and Immunology (39 citations). Adva Levy‐Barda has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Noa Eliakim‐Raz, Shlomit Yust‐Katz, Haim Ben‐Zvi, Amos Stemmer, Salomon M. Stemmer, Neta Moskovits, Baruch Brenner, Alona Zer, Jihad Bishara and Boaz Tadmor. Their work appears in journals such as Frontiers in Immunology, Molecular Oncology, BMJ Open, Cell Cycle and Journal of Clinical Oncology.

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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