Gregor Schäfer-Hesterberg

18 total papers · 788 total citations
11 papers, 511 citations indexed

About

Gregor Schäfer-Hesterberg is a scholar working on Oncology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Gregor Schäfer-Hesterberg has authored 11 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 4 papers in Epidemiology and 4 papers in Artificial Intelligence. Recurrent topics in Gregor Schäfer-Hesterberg's work include Cutaneous Melanoma Detection and Management (9 papers), Nonmelanoma Skin Cancer Studies (4 papers) and AI in cancer detection (4 papers). Gregor Schäfer-Hesterberg is often cited by papers focused on Cutaneous Melanoma Detection and Management (9 papers), Nonmelanoma Skin Cancer Studies (4 papers) and AI in cancer detection (4 papers). Gregor Schäfer-Hesterberg collaborates with scholars based in Germany, Netherlands and France. Gregor Schäfer-Hesterberg's co-authors include Christiane Voit, Alexander M.M. Eggermont, Alexander C. J. van Akkooi, Wolfram Sterry, A. Schoengen, Piotr Rutkowski, Cornelis Verhoef, Zbigniew Nowecki, Wanda Michej and Johannes H. W. de Wilt and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and Annals of Surgery.

In The Last Decade

Gregor Schäfer-Hesterberg

11 papers receiving 498 citations

Author Peers

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

Author Last Decade Papers Cites
Gregor Schäfer-Hesterberg 367 168 125 91 82 11 511
Keith M. Heaton 280 0.8× 139 0.8× 76 0.6× 29 0.3× 59 0.7× 13 480
Markus Dawid 442 1.2× 175 1.0× 96 0.8× 97 1.1× 196 2.4× 9 613
Waqas R. Shaikh 365 1.0× 140 0.8× 100 0.8× 27 0.3× 148 1.8× 11 452
Andrea Hestley 545 1.5× 306 1.8× 101 0.8× 90 1.0× 130 1.6× 15 587
Markwin G. Statius Muller 384 1.0× 228 1.4× 64 0.5× 56 0.6× 66 0.8× 10 533
W. Lechner 418 1.1× 171 1.0× 160 1.3× 39 0.4× 144 1.8× 15 559
Marie-Lise Bafounta 460 1.3× 248 1.5× 66 0.5× 117 1.3× 202 2.5× 10 553
Naheed R. Abbasi 418 1.1× 129 0.8× 73 0.6× 56 0.6× 176 2.1× 9 539
Barbara Bewerse 343 0.9× 190 1.1× 58 0.5× 12 0.1× 302 3.7× 9 542
Paolo Nardini 409 1.1× 190 1.1× 52 0.4× 56 0.6× 212 2.6× 20 452

Countries citing papers authored by Gregor Schäfer-Hesterberg

Since Specialization
Citations

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

Fields of papers citing papers by Gregor Schäfer-Hesterberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregor Schäfer-Hesterberg. 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 Gregor Schäfer-Hesterberg. The network helps show where Gregor Schäfer-Hesterberg may publish in the future.

Co-authorship network of co-authors of Gregor Schäfer-Hesterberg

This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Schäfer-Hesterberg. A scholar is included among the top collaborators of Gregor Schäfer-Hesterberg 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 Gregor Schäfer-Hesterberg. Gregor Schäfer-Hesterberg 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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