Merav Fichman

About

Merav Fichman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Merav Fichman has authored 8 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Computational Theory and Mathematics. Recurrent topics in Merav Fichman’s work include Receptor Mechanisms and Signaling (4 papers), Computational Drug Discovery Methods (3 papers) and Neuropeptides and Animal Physiology (2 papers). Merav Fichman is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Computational Drug Discovery Methods (3 papers) and Neuropeptides and Animal Physiology (2 papers). Merav Fichman collaborates with scholars based in Israel and United States. Merav Fichman's co-authors include Yael Marantz, Silvia Noiman, Sharon Shacham, Alexander Heifetz, Oren M. Becker, Boaz Inbal, Ori Kalid, Dora Toledo Warshaviak, Dongli Chen and Raphael Nudelman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Co-authorship network of co-authors of Merav Fichman i

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Fields of papers citing papers by Merav Fichman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Merav Fichman

Since Specialization

Citations

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

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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