Søren Brunak

144.9k total citations · 25 hit papers
350 papers, 55.8k citations indexed

About

Søren Brunak is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Søren Brunak has authored 350 papers receiving a total of 55.8k indexed citations (citations by other indexed papers that have themselves been cited), including 223 papers in Molecular Biology, 51 papers in Genetics and 31 papers in Artificial Intelligence. Recurrent topics in Søren Brunak's work include Machine Learning in Bioinformatics (56 papers), RNA and protein synthesis mechanisms (52 papers) and Bioinformatics and Genomic Networks (35 papers). Søren Brunak is often cited by papers focused on Machine Learning in Bioinformatics (56 papers), RNA and protein synthesis mechanisms (52 papers) and Bioinformatics and Genomic Networks (35 papers). Søren Brunak collaborates with scholars based in Denmark, United States and Sweden. Søren Brunak's co-authors include Henrik Nielsen, Gunnar von Heijne, Jannick Dyrløv Bendtsen, Nikolaj Blom, Jacob Engelbrecht, Olof Emanuelsson, Steen Gammeltoft, Ramneek Gupta, Lars Juhl Jensen and Pierre Baldi and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Søren Brunak

341 papers receiving 54.7k citations

Hit Papers

Improved Prediction of Signal Peptides: SignalP 3.0 1991 2026 2002 2014 2004 1997 2000 2019 2007 1000 2.0k 3.0k 4.0k 5.0k

Peers

Søren Brunak
Comparison fields: 5 of 222
  • Molecular Biology 35.2k
  • Plant Science 7.8k
  • Immunology 6.1k
  • Genetics 5.5k
  • Epidemiology 3.6k
Replace Christian von Mering with:
Christian von Mering Switzerland
Hamish McWilliam United Kingdom
Lars Juhl Jensen Denmark
Jun Wang China
Rodrigo López United Kingdom
David S. Wishart Canada
Janet M. Thornton United Kingdom
L. Aravind United States
Trey Ideker United States
Damian Szklarczyk Switzerland
Christian von Mering Switzerland View profile →
Citations per field, relative to Søren Brunak
Søren Brunak · 1×
Citations per year, relative to Søren Brunak
Søren Brunak · 1×

Countries citing papers authored by Søren Brunak

Since Specialization
Citations

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

Fields of papers citing papers by Søren Brunak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Søren Brunak

This figure shows the co-authorship network connecting the top 25 collaborators of Søren Brunak. A scholar is included among the top collaborators of Søren Brunak 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 Søren Brunak. Søren Brunak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 0
4 2
5 9
6 35
7 3
8 8
9 2
10 11
11 5
12 68
13 18
14 17
15 20
16 16
17
Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx.
17
18 257
19 141
20 225

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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