Liat Samuelov

1.8k total citations
56 papers, 624 citations indexed

About

Liat Samuelov is a scholar working on Cell Biology, Molecular Biology and Dermatology. According to data from OpenAlex, Liat Samuelov has authored 56 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cell Biology, 21 papers in Molecular Biology and 16 papers in Dermatology. Recurrent topics in Liat Samuelov's work include Skin and Cellular Biology Research (23 papers), Wnt/β-catenin signaling in development and cancer (11 papers) and Hair Growth and Disorders (8 papers). Liat Samuelov is often cited by papers focused on Skin and Cellular Biology Research (23 papers), Wnt/β-catenin signaling in development and cancer (11 papers) and Hair Growth and Disorders (8 papers). Liat Samuelov collaborates with scholars based in Israel, United States and Germany. Liat Samuelov's co-authors include Eli Sprecher, Ofer Sarig, Ralf Paus, Jennifer E. Kloepper, Tamás Bı́ró, Daisuke Tsuruta, Mor Pavlovsky, A. Peled, Jacob Mashiah and Liron Malki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Allergy and Clinical Immunology and The Journal of Pediatrics.

In The Last Decade

Liat Samuelov

50 papers receiving 609 citations

Peers

Liat Samuelov
Comparison fields: 5 of 77
  • Cell Biology 223
  • Molecular Biology 202
  • Dermatology 202
  • Pathology and Forensic Medicine 92
  • Urology 91
Gabriela Petrof United Kingdom
Miki Tanioka Japan
Takuya Takeichi Japan
Valérie Pendaries France
Sibylle Eigelshoven Germany
Jean‐Louis Bonafé France
Karin Aufenvenne Germany
M. Paradisi Italy
Masaru Ito Japan
Feng‐Li Xiao China
Gabriela Petrof United Kingdom View profile →
Citations per field, relative to Liat Samuelov
Liat Samuelov · 1×
Citations per year, relative to Liat Samuelov
Liat Samuelov · 1×

Countries citing papers authored by Liat Samuelov

Since Specialization
Citations

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

Fields of papers citing papers by Liat Samuelov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liat Samuelov

This figure shows the co-authorship network connecting the top 25 collaborators of Liat Samuelov. A scholar is included among the top collaborators of Liat Samuelov 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 Liat Samuelov. Liat Samuelov 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 0
2 0
3 3
4 3
5 5
6 0
7 1
8 8
9 1
10 16
11 2
12 52
13 8
14 12
15 39
16 15
17 14
18 61
19 35
20 17

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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