Shimon Lecht

42 papers receiving 991 citations

Peers

Shimon Lecht
Comparison fields: 5 of 110
  • Developmental Neuroscience 94
  • Cellular and Molecular Neuroscience 236
  • Genetics 130
  • Neurology 86
  • Biomaterials 122
Replace María Sancho‐Tello with:
María Sancho‐Tello Spain
Marta Segarra Germany
Marzia Soligo Italy
Qianfa Long China
Linwei Li China
Murat Digicaylioglu United States
France Berthelet Canada
Justin G. Lees Australia
Nunzio Iraci Italy
Flavia Merigo Italy
Shimon Lecht relative to María Sancho‐Tello Spain María Sancho‐Tello's profile →
Citations per field
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María Sancho‐Tello · 1×
Citations per year

Countries citing papers authored by Shimon Lecht

Since Specialization
Citations

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

Fields of papers citing papers by Shimon Lecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004106
2 200867
3 200864
4 200350
5
Rasagiline - a novel MAO B inhibitor in Parkinson's disease therapy.
200746
6 201146
7 201544
8 201239
9 201436
10 200834
11 200133
12 201132
13 201430
14 201528
15 200827
16 200925
17 201523
18 201219
19 201019
20 200817

About Shimon Lecht

Shimon Lecht is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Oncology, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nerve injury and regeneration (15 papers), Mesenchymal stem cell research (7 papers), Axon Guidance and Neuronal Signaling (5 papers), Cell Adhesion Molecules Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Angiogenesis and VEGF in Cancer (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Developmental Neuroscience (94 citations), Cellular and Molecular Neuroscience (236 citations), Genetics (130 citations), Neurology (86 citations) and Biomaterials (122 citations). Shimon Lecht has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Philip Lazarovici, Hadar Arien‐Zakay, Peter I. Lelkes, Rinat Tabakman, Cezary Marcinkiewicz, Collin T. Stabler, Amnon Hoffman, Arnon Nagler, Simon Haroutiunian and Edward S. Schulman. Their work appears in journals such as Journal of Molecular Neuroscience, Stem Cells and Development, Cellular Signalling, International Journal of Molecular Sciences and Journal of Cellular Physiology.

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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