Rune Linding
Impact in
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Gene Regulatory Network Analysis
- Cell Biology top 1%
Papers in
-
- Bioinformatics and Genomic Networks 21
- Gene Regulatory Network Analysis 10
- Protein Structure and Dynamics 8
- Gene expression and cancer classification 5
- Cell Biology 11
- Microtubule and mitosis dynamics 7
- Co-authors
- Francesca Diella (3 shared papers)Tony Pawson (13 shared papers)Toby J. Gibson (4 shared papers)Lars Juhl Jensen (2 shared papers)Peer Bork (2 shared papers)Robert B. Russell (2 shared papers)Luís Serrano (3 shared papers)Adrian Pasculescu (7 shared papers)
- Journals
- Science Signaling (4 papers)Science (4 papers)PLoS Biology (3 papers)Cell Reports (3 papers)FEBS Letters (3 papers)
- Partner nations
- United KingdomDenmarkCanada
In The Last Decade
Rune Linding
53 papers receiving 6.1k citations
Rune Linding's Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 4.9k
- Cell Biology 724
- Spectroscopy 716
- Computational Theory and Mathematics 410
- Aging 38
Countries citing papers authored by Rune Linding
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
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-authors
The 25 scholars most cited alongside Rune Linding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Protein Disorder Prediction Hit paper breakdown → | 2003 | 973 |
| 2 | GlobPlot: exploring protein sequences for globularity and disorder Hit paper breakdown → | 2003 | 799 |
| 3 | Dynamic modularity in protein interaction networks predicts breast cancer outcome Hit paper breakdown → | 2009 | 546 |
| 4 | 2004 | 316 | |
| 5 | 2004 | 307 | |
| 6 | 2007 | 287 | |
| 7 | 2009 | 277 | |
| 8 | 2005 | 255 | |
| 9 | 2015 | 235 | |
| 10 | 2010 | 192 | |
| 11 | 2009 | 191 | |
| 12 | 2010 | 188 | |
| 13 | 2009 | 159 | |
| 14 | 2015 | 122 | |
| 15 | 2002 | 113 | |
| 16 | 2008 | 112 | |
| 17 | 2012 | 102 | |
| 18 | 2008 | 98 | |
| 19 | 2009 | 95 | |
| 20 | 2013 | 85 |
About Rune Linding
Rune Linding is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Computational Theory and Mathematics and Biophysics, having authored 53 papers that have together received 6.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (21 papers), Advanced Proteomics Techniques and Applications (10 papers), Gene Regulatory Network Analysis (10 papers), Protein Structure and Dynamics (8 papers), Computational Drug Discovery Methods (8 papers), Microtubule and mitosis dynamics (7 papers), Cell Image Analysis Techniques (6 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Molecular Biology (4.9k citations), Cell Biology (724 citations), Spectroscopy (716 citations), Computational Theory and Mathematics (410 citations) and Aging (38 citations). Rune Linding has collaborated with scholars based in United Kingdom, Denmark and Canada. Frequent co-authors include Francesca Diella, Tony Pawson, Toby J. Gibson, Lars Juhl Jensen, Peer Bork, Robert B. Russell, Luís Serrano, Adrian Pasculescu, Pau Creixell and Michael B. Yaffe. Their work appears in journals such as Science Signaling, Science, PLoS Biology, Cell Reports and FEBS Letters.
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.