Liora Madar-Shapiro

21 total papers · 878 total citations
18 papers, 701 citations indexed

About

Liora Madar-Shapiro is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Liora Madar-Shapiro has authored 18 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cell Biology and 5 papers in Physiology. Recurrent topics in Liora Madar-Shapiro's work include Cellular transport and secretion (5 papers), Lysosomal Storage Disorders Research (4 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). Liora Madar-Shapiro is often cited by papers focused on Cellular transport and secretion (5 papers), Lysosomal Storage Disorders Research (4 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). Liora Madar-Shapiro collaborates with scholars based in Israel, Italy and France. Liora Madar-Shapiro's co-authors include Zmira Samra, Jihad Bishara, Hadas Dvory‐Sobol, Nadir Arber, Diana Kazanov, Brigitte Marian, Ilya Pinchuk, Ludmila Strier, Shahar Lev‐Ari and Dov Lichtenberg and has published in prestigious journals such as PLoS ONE, Biochemical Journal and Clinical Cancer Research.

In The Last Decade

Liora Madar-Shapiro

18 papers receiving 684 citations

Author Peers

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

Author Last Decade Papers Cites
Liora Madar-Shapiro 286 237 151 93 83 18 701
Hong Huang 118 0.4× 460 1.9× 93 0.6× 55 0.6× 79 1.0× 35 887
Miran Seo 122 0.4× 290 1.2× 85 0.6× 50 0.5× 116 1.4× 31 705
Vijay Kumar 282 1.0× 167 0.7× 201 1.3× 41 0.4× 146 1.8× 32 712
Helena Ramos 293 1.0× 383 1.6× 55 0.4× 145 1.6× 113 1.4× 38 857
Jennifer L. Hoover 286 1.0× 307 1.3× 243 1.6× 28 0.3× 159 1.9× 23 878
Dong Dong 235 0.8× 447 1.9× 93 0.6× 79 0.8× 103 1.2× 34 898
Dinesh Kumar Kesavan 173 0.6× 241 1.0× 66 0.4× 63 0.7× 118 1.4× 24 710
Su Jin Park 94 0.3× 336 1.4× 58 0.4× 47 0.5× 178 2.1× 36 809
N.M. Maurice 97 0.3× 404 1.7× 69 0.5× 48 0.5× 282 3.4× 12 832
Jie Song 404 1.4× 100 0.4× 305 2.0× 34 0.4× 221 2.7× 28 804

Countries citing papers authored by Liora Madar-Shapiro

Since Specialization
Citations

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

Fields of papers citing papers by Liora Madar-Shapiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liora Madar-Shapiro. 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 Liora Madar-Shapiro. The network helps show where Liora Madar-Shapiro may publish in the future.

Co-authorship network of co-authors of Liora Madar-Shapiro

This figure shows the co-authorship network connecting the top 25 collaborators of Liora Madar-Shapiro. A scholar is included among the top collaborators of Liora Madar-Shapiro 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 Liora Madar-Shapiro. Liora Madar-Shapiro 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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2026