Rune Linding

108 total papers · 11.8k total citations
53 papers, 6.1k citations indexed

About

Rune Linding is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Rune Linding has authored 53 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 12 papers in Spectroscopy and 11 papers in Cell Biology. Recurrent topics in Rune Linding's work include Bioinformatics and Genomic Networks (21 papers), Advanced Proteomics Techniques and Applications (11 papers) and Gene Regulatory Network Analysis (10 papers). Rune Linding is often cited by papers focused on Bioinformatics and Genomic Networks (21 papers), Advanced Proteomics Techniques and Applications (11 papers) and Gene Regulatory Network Analysis (10 papers). Rune Linding collaborates with scholars based in Denmark, United Kingdom and Canada. Rune Linding's co-authors include Francesca Diella, Tony Pawson, Toby J. Gibson, Peer Bork, Lars Juhl Jensen, Robert B. Russell, Luís Serrano, Adrian Pasculescu, Michael B. Yaffe and Chris Soon Heng Tan and has published in prestigious journals such as Science, Cell and Nucleic Acids Research.

In The Last Decade

Rune Linding

53 papers receiving 6.0k citations

Hit Papers

Protein Disorder Prediction 2003 2026 2010 2018 2003 2003 2009 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Rune Linding 5.2k 743 743 591 535 53 6.1k
Sucha Sudarsanam 6.1k 1.2× 1.1k 1.5× 634 0.9× 526 0.9× 1.4k 2.7× 29 8.0k
Michael J. Thompson 6.7k 1.3× 594 0.8× 310 0.4× 627 1.1× 419 0.8× 82 8.4k
Christopher W.V. Hogue 6.9k 1.3× 839 1.1× 375 0.5× 399 0.7× 418 0.8× 62 8.8k
Anne‐Claude Gavin 5.3k 1.0× 792 1.1× 488 0.7× 288 0.5× 289 0.5× 91 6.6k
Philip M. Kim 6.3k 1.2× 577 0.8× 292 0.4× 682 1.2× 273 0.5× 94 7.5k
Zsuzsanna Dosztányi 7.4k 1.4× 839 1.1× 519 0.7× 1.6k 2.8× 358 0.7× 72 8.6k
Pedro Beltrão 4.4k 0.8× 525 0.7× 547 0.7× 245 0.4× 302 0.6× 76 5.2k
Lynn F. Ten Eyck 6.0k 1.1× 1.0k 1.4× 394 0.5× 2.0k 3.4× 782 1.5× 65 7.1k
Francesca Diella 4.4k 0.8× 869 1.2× 550 0.7× 497 0.8× 496 0.9× 34 5.3k
Bruce A. Johnson 4.2k 0.8× 499 0.7× 390 0.5× 636 1.1× 454 0.8× 54 5.4k

Countries citing papers authored by Rune Linding

Since Specialization
Citations

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

Fields of papers citing papers by Rune Linding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rune Linding

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