Kristoffer Rapacki

1.3k citations
6 papers · 413 indexed · 1 hit paper · h-index 4
Topics
Scientific Computing and Data Management (3 papers)Biomedical Text Mining and Ontologies (2 papers)Genomics and Phylogenetic Studies (2 papers)
Partner nations
DenmarkNorwayFrance

In The Last Decade

Kristoffer Rapacki

6 papers receiving 408 citations

Hit Papers

A scored human protein–protein interaction network to cat...20162026201920222016100200300

Peers

Kristoffer Rapacki
Comparison fields: 5 of 80
  • Molecular Biology 309
  • Genetics 58
  • Computational Theory and Mathematics 51
  • Cancer Research 48
  • Pulmonary and Respiratory Medicine 37
Replace Laurent Winckers with:
Laurent Winckers Netherlands
Lauren J. Dupuis Netherlands
Ayumu Saito Japan
Karen Rothfels Canada
Amar Koleti United States
Marek Tutaj United States
Rudolf Pillich United States
Prisca Lo Surdo Italy
Sabry Razick Norway
Z. Hu United States
Kristoffer Rapacki relative to Laurent Winckers Netherlands Laurent Winckers's profile →
Citations per field
00.5×10×15×20×23.5×
Laurent Winckers · 1×
Citations per year

Countries citing papers authored by Kristoffer Rapacki

Since Specialization
Citations

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

Fields of papers citing papers by Kristoffer Rapacki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristoffer Rapacki

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 6
2 2
3
A scored human protein–protein interaction network to catalyze genomic interpretationbreakdown →
386
4 4
5
The Danish ELIXIR Node
1
6 14

About Kristoffer Rapacki

Kristoffer Rapacki is a scholar working on Information Systems and Management, Endocrinology and Molecular Biology, having authored 6 papers that have together received 413 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Biomedical Text Mining and Ontologies (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Molecular Biology (309 citations), Biological Psychiatry (9 citations) and Computational Theory and Mathematics (51 citations). Kristoffer Rapacki has collaborated with scholars based in Denmark, Norway and France. Frequent co-authors include Rasmus Borup Hansen, Søren Brunak, Christopher T. Workman, Kasper Lage, Greg Slodkowicz, Heiko Horn, Taibo Li, Rasmus Wernersson, Olga Rigina and Thomas Jensen. Their work appears in journals such as Bioinformatics, Nature Methods and Frontiers in Microbiology.

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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