Z Shapira

119 total papers · 859 total citations
80 papers, 634 citations indexed

About

Z Shapira is a scholar working on Surgery, Transplantation and Epidemiology. According to data from OpenAlex, Z Shapira has authored 80 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Surgery, 24 papers in Transplantation and 18 papers in Epidemiology. Recurrent topics in Z Shapira's work include Renal Transplantation Outcomes and Treatments (24 papers), Organ Transplantation Techniques and Outcomes (21 papers) and Organ Donation and Transplantation (11 papers). Z Shapira is often cited by papers focused on Renal Transplantation Outcomes and Treatments (24 papers), Organ Transplantation Techniques and Outcomes (21 papers) and Organ Donation and Transplantation (11 papers). Z Shapira collaborates with scholars based in Israel, Germany and Italy. Z Shapira's co-authors include A Yussim, D Shmueli, E Shaharabani, N Bar-Nathan, Ariel Halevy, Eytan Mor, S. Lustig, Gabriel Morduchowicz, Richard Nakache and Joseph B. Rosenfeld and has published in prestigious journals such as Clinical Infectious Diseases, The Journal of Urology and The Journal of Pediatrics.

In The Last Decade

Z Shapira

78 papers receiving 602 citations

Author Peers

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

Author Last Decade Papers Cites
Z Shapira 268 155 126 110 106 80 634
R. L. Simmons 300 1.1× 191 1.2× 131 1.0× 141 1.3× 43 0.4× 40 752
N Bar-Nathan 299 1.1× 216 1.4× 157 1.2× 244 2.2× 125 1.2× 49 696
E Shaharabani 263 1.0× 209 1.3× 128 1.0× 233 2.1× 96 0.9× 49 614
Gustavo Martínez-Mier 253 0.9× 84 0.5× 94 0.7× 76 0.7× 62 0.6× 82 563
Oscar K. Serrano 319 1.2× 130 0.8× 128 1.0× 75 0.7× 143 1.3× 82 702
Suwasin Udomkarnjananun 186 0.7× 132 0.9× 160 1.3× 46 0.4× 50 0.5× 63 653
Fernando Macário 167 0.6× 119 0.8× 242 1.9× 66 0.6× 115 1.1× 66 587
Auxiliadora Mazuecos 155 0.6× 102 0.7× 223 1.8× 51 0.5× 90 0.8× 69 660
Henri Vacher-Coponat 161 0.6× 173 1.1× 144 1.1× 49 0.4× 140 1.3× 42 719
Francesca Tinti 196 0.7× 93 0.6× 122 1.0× 150 1.4× 47 0.4× 48 649

Countries citing papers authored by Z Shapira

Since Specialization
Citations

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

Fields of papers citing papers by Z Shapira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Z Shapira

This figure shows the co-authorship network connecting the top 25 collaborators of Z Shapira. A scholar is included among the top collaborators of Z Shapira 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 Z Shapira. Z Shapira 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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