Lior Soussan

1.1k total citations · 1 hit paper
10 papers, 894 citations indexed

About

Lior Soussan is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Lior Soussan has authored 10 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Physiology. Recurrent topics in Lior Soussan's work include Skin and Cellular Biology Research (3 papers), Alzheimer's disease research and treatments (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Lior Soussan is often cited by papers focused on Skin and Cellular Biology Research (3 papers), Alzheimer's disease research and treatments (3 papers) and Wnt/β-catenin signaling in development and cancer (3 papers). Lior Soussan collaborates with scholars based in Israel and United States. Lior Soussan's co-authors include Rony Seger, Iris Alroy, Yosef Yarden, Gil Levkowitz, Michael Sela, Ronit Pinkas‐Kramarski, Leah N. Klapper, Hayley R. Waterman, Sara Lavi and Barry Ratzkin and has published in prestigious journals such as The Journal of Cell Biology, The EMBO Journal and Molecular and Cellular Biology.

In The Last Decade

Lior Soussan

10 papers receiving 872 citations

Hit Papers

Diversification of Neu differentiation factor and epiderm... 1996 2026 2006 2016 1996 200 400 600

Peers

Lior Soussan
Comparison fields: 5 of 67
  • Oncology 554
  • Molecular Biology 485
  • Radiology, Nuclear Medicine and Imaging 332
  • Cell Biology 116
  • Pulmonary and Respiratory Medicine 95
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Citations per field, relative to Lior Soussan
Lior Soussan · 1×
Citations per year, relative to Lior Soussan
Lior Soussan · 1×

Countries citing papers authored by Lior Soussan

Since Specialization
Citations

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

Fields of papers citing papers by Lior Soussan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lior Soussan

This figure shows the co-authorship network connecting the top 25 collaborators of Lior Soussan. A scholar is included among the top collaborators of Lior Soussan 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 Lior Soussan. Lior Soussan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 81
2 82
3
Diversification of Neu differentiation factor and epidermal growth factor signaling by combinatorial receptor interactions. breakdown →
645
4 4
5 4
6 17
7 25
8 4
9 28
10 4

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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