Adva Levy‐Barda

715 citations
14 papers · 337 · h-index 7

Impact in

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

Papers in

Adva Levy‐Barda

13 papers receiving 334 citations

Peers

Adva Levy‐Barda
Comparison fields: 5 of 47
  • Infectious Diseases 120
  • Oncology 123
  • Health 17
  • Molecular Biology 123
  • Cell Biology 27
Replace Dongyeob Seo with:
Dongyeob Seo South Korea
Adel Jebar United Kingdom
Thomas E. Bickett United States
Tomoka Nakamura United States
Riley J. Mangan United States
Sanket Desai India
Gabriele Büchel Germany
Nargess Hassanzadeh‐Kiabi United States
Gil Metser United States
Yuchao Jiang China
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 2021173
2 201150
3 201844
4 202123
5 201711
6 20239
7 20236
8 20236
9 20224
10 20243
11 20233
12 20243
13 20222
14 20230

About Adva Levy‐Barda

Adva Levy‐Barda is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Cell Biology and Plant Science, having authored 14 papers that have together received 337 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (3 papers), Cancer Genomics and Diagnostics (2 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers), Glioma Diagnosis and Treatment (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Infectious Diseases (120 citations), Oncology (123 citations), Health (17 citations), Molecular Biology (123 citations) and Cell Biology (27 citations). Adva Levy‐Barda has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Amos Stemmer, Alona Zer, Boaz Tadmor, Neta Moskovits, Noa Eliakim‐Raz, Baruch Brenner, Haim Ben‐Zvi, Shlomit Yust‐Katz, Salomon M. Stemmer and Alexandra Benouaich‐Amiel. Their work appears in journals such as Frontiers in Immunology, Journal of Clinical Oncology, Molecular Biology Reports, Molecular Oncology and Neuro-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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