Roland Grafström

123 total papers · 3.9k total citations
75 papers, 2.2k citations indexed

About

Roland Grafström is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Roland Grafström has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 17 papers in Cancer Research and 11 papers in Computational Theory and Mathematics. Recurrent topics in Roland Grafström's work include Carcinogens and Genotoxicity Assessment (14 papers), Computational Drug Discovery Methods (11 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Roland Grafström is often cited by papers focused on Carcinogens and Genotoxicity Assessment (14 papers), Computational Drug Discovery Methods (11 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Roland Grafström collaborates with scholars based in Sweden, Finland and United States. Roland Grafström's co-authors include Curtis C. Harris, Kristina Sundqvist, Sten Orrenius, Rodger D. Curren, M.D. Burke, Peter Moldéus, Pekka Kohonen, Rebecca Ceder, James C. Willey and Sidney J. Stohs and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Roland Grafström

74 papers receiving 2.1k 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 Grafström 959 497 355 270 253 75 2.2k
Dalei Wu 1.2k 1.3× 410 0.8× 467 1.3× 114 0.4× 194 0.8× 62 2.6k
Matthew Bryant 802 0.8× 698 1.4× 633 1.8× 229 0.8× 168 0.7× 76 2.4k
Atsushi Ono 1.0k 1.1× 342 0.7× 355 1.0× 283 1.0× 141 0.6× 126 2.4k
Lois D. Lehman‐McKeeman 951 1.0× 532 1.1× 698 2.0× 503 1.9× 414 1.6× 93 2.9k
Rakesh Dixit 777 0.8× 281 0.6× 195 0.5× 231 0.9× 629 2.5× 135 2.6k
Odile Sergent 1.4k 1.5× 295 0.6× 216 0.6× 137 0.5× 257 1.0× 68 3.0k
Michael J. Iatropoulos 924 1.0× 844 1.7× 485 1.4× 281 1.0× 410 1.6× 107 3.1k
Wenxing Chen 1.5k 1.5× 421 0.8× 269 0.8× 242 0.9× 372 1.5× 96 2.8k
Yvonne P. Dragan 1.7k 1.7× 697 1.4× 349 1.0× 493 1.8× 488 1.9× 99 3.2k
Heidrun Ellinger‐Ziegelbauer 1.5k 1.6× 719 1.4× 279 0.8× 139 0.5× 205 0.8× 66 2.6k

Countries citing papers authored by Roland Grafström

Since Specialization
Citations

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

Fields of papers citing papers by Roland Grafström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roland Grafström

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