Fotini Debonera

29 total papers · 744 total citations
18 papers, 576 citations indexed

About

Fotini Debonera is a scholar working on Surgery, Hepatology and Pathology and Forensic Medicine. According to data from OpenAlex, Fotini Debonera has authored 18 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 7 papers in Hepatology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Fotini Debonera's work include Organ Transplantation Techniques and Outcomes (7 papers), Liver physiology and pathology (6 papers) and Liver Disease and Transplantation (6 papers). Fotini Debonera is often cited by papers focused on Organ Transplantation Techniques and Outcomes (7 papers), Liver physiology and pathology (6 papers) and Liver Disease and Transplantation (6 papers). Fotini Debonera collaborates with scholars based in United States, Greece and United Kingdom. Fotini Debonera's co-authors include Kim M. Olthoff, Andrew E. Gelman, Xavier Aldeguer, Xingyi Que, Abraham Shaked, Katalin Karikó, Anthony Secreto, Joshua Glover, Norbert Pardi and Yanjie Yi and has published in prestigious journals such as Nature Communications, Hepatology and Journal of Hepatology.

In The Last Decade

Fotini Debonera

17 papers receiving 563 citations

Hit Papers

Administration of nucleos... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Fotini Debonera 244 195 175 130 112 18 576
Elizabeth J. Elrod 110 0.5× 230 1.2× 71 0.4× 206 1.6× 139 1.2× 17 617
Ikuko Haruta 166 0.7× 230 1.2× 238 1.4× 247 1.9× 143 1.3× 33 687
H.-P. Fischer 127 0.5× 170 0.9× 72 0.4× 130 1.0× 32 0.3× 21 552
Jeremy Mauldin 161 0.7× 74 0.4× 203 1.2× 186 1.4× 61 0.5× 19 558
Louise E. Ramm 122 0.5× 111 0.6× 66 0.4× 157 1.2× 119 1.1× 33 669
Xiuliang Bao 251 1.0× 131 0.7× 121 0.7× 124 1.0× 33 0.3× 11 515
Kris Covens 149 0.6× 111 0.6× 74 0.4× 147 1.1× 95 0.8× 16 526
Daryl Humes 119 0.5× 148 0.8× 57 0.3× 198 1.5× 135 1.2× 23 630
Ming-Huei Chou 110 0.5× 128 0.7× 222 1.3× 153 1.2× 148 1.3× 27 607
Junji Shibata 96 0.4× 263 1.3× 76 0.4× 138 1.1× 104 0.9× 22 578

Countries citing papers authored by Fotini Debonera

Since Specialization
Citations

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

Fields of papers citing papers by Fotini Debonera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fotini Debonera

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