Galit Fichman

17 total papers · 978 total citations
16 papers, 856 citations indexed

About

Galit Fichman is a scholar working on Biomaterials, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Galit Fichman has authored 16 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomaterials, 9 papers in Molecular Biology and 7 papers in Organic Chemistry. Recurrent topics in Galit Fichman's work include Supramolecular Self-Assembly in Materials (12 papers), Polydiacetylene-based materials and applications (7 papers) and Lipid Membrane Structure and Behavior (3 papers). Galit Fichman is often cited by papers focused on Supramolecular Self-Assembly in Materials (12 papers), Polydiacetylene-based materials and applications (7 papers) and Lipid Membrane Structure and Behavior (3 papers). Galit Fichman collaborates with scholars based in United States, Israel and Slovenia. Galit Fichman's co-authors include Ehud Gazit, Joel P. Schneider, Lihi Adler‐Abramovich, Junfeng Shi, Tom Guterman, Nimit L. Patel, Caroline Andrews, Linda J. W. Shimon, Suresh Manohar and Dror Seliktar and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and ACS Nano.

In The Last Decade

Galit Fichman

16 papers receiving 846 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Galit Fichman 657 428 315 127 119 16 856
Hidenori Yokoi 737 1.1× 513 1.2× 310 1.0× 141 1.1× 92 0.8× 18 988
Katie E. Styan 666 1.0× 461 1.1× 399 1.3× 127 1.0× 179 1.5× 18 939
Tom Guterman 540 0.8× 301 0.7× 279 0.9× 159 1.3× 148 1.2× 18 760
Charles M. Rubert Pérez 568 0.9× 386 0.9× 198 0.6× 181 1.4× 112 0.9× 14 852
Henry Cox 531 0.8× 326 0.8× 242 0.8× 174 1.4× 108 0.9× 12 768
Yujian Huang 410 0.6× 401 0.9× 129 0.4× 244 1.9× 170 1.4× 21 920
Wei Yang Seow 538 0.8× 376 0.9× 225 0.7× 180 1.4× 95 0.8× 13 854
Charlotte J. C. Edwards‐Gayle 531 0.8× 480 1.1× 351 1.1× 106 0.8× 165 1.4× 40 977
Tuuli A. Hakala 449 0.7× 458 1.1× 266 0.8× 226 1.8× 148 1.2× 18 954
Ludmila Buzhansky 590 0.9× 382 0.9× 307 1.0× 118 0.9× 196 1.6× 16 835

Countries citing papers authored by Galit Fichman

Since Specialization
Citations

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

Fields of papers citing papers by Galit Fichman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Galit Fichman

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

All Works

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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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