Roland Graf

10 total papers · 898 total citations
10 papers, 767 citations indexed

About

Roland Graf is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Roland Graf has authored 10 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Surgery. Recurrent topics in Roland Graf's work include Glycosylation and Glycoproteins Research (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Roland Graf is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Roland Graf collaborates with scholars based in Germany, Switzerland and United States. Roland Graf's co-authors include Josef Brunner, Peter Durrer, Yves Gaudin, Rob W. H. Ruigrok, Walther Mothes, IngMarie Nilsson, Sven U. Heinrich, Gunnar von Heijne, Tom A. Rapoport and Ulrich Schaller and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Roland Graf

10 papers receiving 753 citations

Author Peers

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

Author Last Decade Papers Cites
Roland Graf 493 198 156 150 69 10 767
E. Rodríguez Boulan 457 0.9× 202 1.0× 153 1.0× 210 1.4× 31 0.4× 9 839
João V. Cordeiro 257 0.5× 172 0.9× 147 0.9× 190 1.3× 140 2.0× 25 870
Ricardo S. Vieira-Pires 466 0.9× 332 1.7× 62 0.4× 52 0.3× 55 0.8× 10 735
Edith Suss-Toby 452 0.9× 135 0.7× 41 0.3× 143 1.0× 105 1.5× 17 884
Schuyler B. van Engelenburg 394 0.8× 179 0.9× 60 0.4× 76 0.5× 162 2.3× 17 846
T. de Boer 468 0.9× 88 0.4× 120 0.8× 241 1.6× 57 0.8× 14 816
Miles K. Yamanaka 415 0.8× 51 0.3× 192 1.2× 199 1.3× 39 0.6× 19 903
Michael Claviez 418 0.8× 267 1.3× 186 1.2× 81 0.5× 49 0.7× 20 847
Séverine Bär 364 0.7× 155 0.8× 149 1.0× 90 0.6× 59 0.9× 19 668
Samantha J. Griffiths 344 0.7× 103 0.5× 160 1.0× 372 2.5× 26 0.4× 15 822

Countries citing papers authored by Roland Graf

Since Specialization
Citations

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

Fields of papers citing papers by Roland Graf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Graf

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