Neta Barashi

459 citations
8 papers · 338 · h-index 7

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • Liver Diseases and Immunity
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Galectins and Cancer Biology 1
    • Immunotherapy and Immune Responses 1
    • Lung Cancer Research Studies 1
    • Chemokine receptors and signaling 1

Neta Barashi

8 papers receiving 336 citations

Peers

Neta Barashi
Comparison fields: 5 of 59
  • Hepatology 52
  • Neurology 48
  • Immunology 106
  • Developmental Neuroscience 15
  • Cancer Research 45
Replace Christine M. Matullo with:
Christine M. Matullo United States
Chiara Baiguera Italy
Sonia Benhamida France
Alexandra Garcia France
Jinghua Wang United States
Miwako Nishio Japan
Anna-Maria Globig Germany
José Sancho United States
Gurman Kaur United Kingdom
Atsushi Inoue Japan
Neta Barashi relative to Christine M. Matullo United States Christine M. Matullo's profile →
Citations per field
00.5×
Christine M. Matullo · 1×
Citations per year

Countries citing papers authored by Neta Barashi

Since Specialization
Citations

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

Fields of papers citing papers by Neta Barashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 201770
2 201362
3 201952
4 201751
5 202043
6 201331
7 201127
8 20202

About Neta Barashi

Neta Barashi is a scholar working on Immunology, Oncology, Hepatology, Surgery and Pathology and Forensic Medicine, having authored 8 papers that have together received 338 indexed citations. Recurring topics across this work include Liver physiology and pathology (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Liver Diseases and Immunity (1 paper), Lung Cancer Research Studies (1 paper), Galectins and Cancer Biology (1 paper), Immunotherapy and Immune Responses (1 paper), Systemic Sclerosis and Related Diseases (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Hepatology (52 citations), Neurology (48 citations), Immunology (106 citations), Developmental Neuroscience (15 citations) and Cancer Research (45 citations). Neta Barashi has collaborated with scholars based in Israel, United Kingdom and Germany. Frequent co-authors include Eithan Galun, Ido D. Weiss, Amnon Peled, Michal Abraham, Hanna Wald, Katia Beider, Ori Wald, Adi Mor, Jacob George and Rinat Abramovitch. Their work appears in journals such as Hepatology, JHEP Reports, Cytokine, Journal of Hepatology and Cancer Research.

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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