Riva Brik

3.2k citations
58 papers · 1.6k indexed · h-index 24

Impact in

  • Nephrology top 2%
    • Gout, Hyperuricemia, Uric Acid
  • Immunology top 5%
    • IL-33, ST2, and ILC Pathways
    • interferon and immune responses

Papers in

    • Autoimmune and Inflammatory Disorders Research 20
    • Renal Diseases and Glomerulopathies 5

Riva Brik

57 papers receiving 1.5k citations

Peers

Riva Brik
Comparison fields: 5 of 89
  • Nephrology 291
  • Immunology 538
  • Hematology 273
  • Rheumatology 224
  • Molecular Biology 1.0k
Replace Merav Lidar with:
Merav Lidar Israel
Şeminur Haznedaroğlu Türkiye
Ömer Nurı Pamuk Türkiye
Merih Bırlık Türkiye
Liza McCann United Kingdom
Ahmet Mesut Onat Türkiye
Hui Shi China
Dilek Solmaz Türkiye
Tú-Anh Tran France
Yasuhiro Shimojima Japan
Riva Brik relative to Merav Lidar Israel Merav Lidar's profile →
Citations per field
00.5×1.7×
Merav Lidar · 1×
Citations per year

Countries citing papers authored by Riva Brik

Since Specialization
Citations

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

Fields of papers citing papers by Riva Brik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20225
2 202014
3 20187
4 201823
5
High-dose aspirin for Kawasaki disease: outdated myth or effective aid?
201722
6 20179
7 20068
8 200524
9 20056
10 2003135
11 200212
12 200225
13 2002110
14 200166
15 200111
16 199930
17 199744
18 19936
19 199014
20 198857

About Riva Brik

Riva Brik is a scholar working on Hematology, Nephrology, Immunology, Rheumatology and Molecular Biology, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (26 papers), Autoimmune and Inflammatory Disorders Research (20 papers), interferon and immune responses (6 papers), Streptococcal Infections and Treatments (6 papers), Renal Diseases and Glomerulopathies (5 papers), Systemic Lupus Erythematosus Research (5 papers), Immune Cell Function and Interaction (5 papers) and Rheumatoid Arthritis Research and Therapies (5 papers). The work is most often cited by research in Nephrology (291 citations), Immunology (538 citations), Hematology (273 citations), Rheumatology (224 citations) and Molecular Biology (1.0k citations). Riva Brik has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Ruth Gershoni‐Baruch, Marwan Shinawi, Avi Livneh, L Kasinetz, Yonatan Butbul Aviel, Merav Lidar, Ilana Kepten, Moshe Berant, Liora Harel and Philip J. Hashkes. Their work appears in journals such as The Journal of Pediatrics, Pediatric Rheumatology, Pediatric Pulmonology, European Journal of Human Genetics and Arthritis & Rheumatology.

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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