Merav Lidar

4.5k total citations
142 papers, 2.7k citations indexed

About

Merav Lidar is a scholar working on Molecular Biology, Rheumatology and Immunology. According to data from OpenAlex, Merav Lidar has authored 142 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 51 papers in Rheumatology and 42 papers in Immunology. Recurrent topics in Merav Lidar's work include Inflammasome and immune disorders (66 papers), Spondyloarthritis Studies and Treatments (22 papers) and Systemic Lupus Erythematosus Research (18 papers). Merav Lidar is often cited by papers focused on Inflammasome and immune disorders (66 papers), Spondyloarthritis Studies and Treatments (22 papers) and Systemic Lupus Erythematosus Research (18 papers). Merav Lidar collaborates with scholars based in Israel, Italy and United States. Merav Lidar's co-authors include Avi Livneh, Pnina Langevitz, Iris Eshed, Yehuda Shoenfeld, Ilan Ben‐Zvi, Olga Feld, Yackov Berkun, Elon Pras, Shai Padeh and Dvora Aharoni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Merav Lidar

135 papers receiving 2.7k citations

Peers

Merav Lidar
Comparison fields: 5 of 99
  • Molecular Biology 1.6k
  • Immunology 894
  • Rheumatology 702
  • Nephrology 493
  • Surgery 478
Replace Servet Akar with:
Servet Akar Türkiye
Huri Özdoğan Türkiye
Jasmin Kuemmerle‐Deschner Germany
Shai Padeh Israel
Karyl S. Barron United States
İhsan Ertenli Türkiye
Ezgi Deniz Batu Türkiye
Mami Tamai Japan
Toru Mima Japan
Antonio Vitale Italy
Servet Akar Türkiye View profile →
Citations per field, relative to Merav Lidar
Merav Lidar · 1×
Citations per year, relative to Merav Lidar
Merav Lidar · 1×

Countries citing papers authored by Merav Lidar

Since Specialization
Citations

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

Fields of papers citing papers by Merav Lidar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merav Lidar

This figure shows the co-authorship network connecting the top 25 collaborators of Merav Lidar. A scholar is included among the top collaborators of Merav Lidar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Merav Lidar. Merav Lidar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 2
4 0
5 18
6 14
7 4
8 2
9 0
10
A high and equal prevalence of the Q703K variant in NLRP3 patients with autoinflammatory symptoms and ethnically matched controls.
5
11 11
12 22
13 22
14 2
15 13
16 44
17 15
18 4
19 6
20 19

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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2026