Ehab Rafael

31 total papers · 1.0k total citations
24 papers, 694 citations indexed

About

Ehab Rafael is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Ehab Rafael has authored 24 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 10 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Genetics. Recurrent topics in Ehab Rafael's work include Pancreatic function and diabetes (20 papers), Diabetes Management and Research (10 papers) and Xenotransplantation and immune response (6 papers). Ehab Rafael is often cited by papers focused on Pancreatic function and diabetes (20 papers), Diabetes Management and Research (10 papers) and Xenotransplantation and immune response (6 papers). Ehab Rafael collaborates with scholars based in Sweden, Finland and Canada. Ehab Rafael's co-authors include Annika Tibell, Olle Korsgren, Annika Wernerson, Torbjörn Lundgren, Bo Nilsson, B. Isaksson, Johan Permert, Mikael Rydén, Guosheng Wu and Gunnar Tufveson and has published in prestigious journals such as Diabetologia, Transplantation and American Journal of Transplantation.

In The Last Decade

Ehab Rafael

23 papers receiving 681 citations

Author Peers

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

Author Last Decade Papers Cites
Ehab Rafael 604 230 228 138 122 24 694
Maria Chatzipetrou 432 0.7× 120 0.5× 227 1.0× 71 0.5× 53 0.4× 15 729
James Shapiro 468 0.8× 140 0.6× 137 0.6× 70 0.5× 283 2.3× 27 778
Toshiaki Tsujimura 580 1.0× 264 1.1× 226 1.0× 176 1.3× 25 0.2× 22 700
E. Stephanian 384 0.6× 146 0.6× 169 0.7× 77 0.6× 23 0.2× 25 575
Sandrine Demuylder-Mischler 511 0.8× 243 1.1× 234 1.0× 123 0.9× 12 0.1× 23 618
Torsten Eich 508 0.8× 238 1.0× 258 1.1× 161 1.2× 10 0.1× 20 629
Yasunari Kasai 334 0.6× 157 0.7× 148 0.6× 95 0.7× 12 0.1× 14 581
Norman M. Kenyon 636 1.1× 246 1.1× 279 1.2× 136 1.0× 10 0.1× 14 730
H Contractor 605 1.0× 305 1.3× 258 1.1× 180 1.3× 40 0.3× 30 630
José Manuel Mellado‐Gil 437 0.7× 224 1.0× 221 1.0× 35 0.3× 39 0.3× 19 631

Countries citing papers authored by Ehab Rafael

Since Specialization
Citations

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

Fields of papers citing papers by Ehab Rafael

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehab Rafael

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