Sune Pletscher-Frankild

8.3k total citations · 4 hit papers
17 papers, 6.1k citations indexed

About

Sune Pletscher-Frankild is a scholar working on Molecular Biology, Immunology and Artificial Intelligence. According to data from OpenAlex, Sune Pletscher-Frankild has authored 17 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Artificial Intelligence. Recurrent topics in Sune Pletscher-Frankild's work include Biomedical Text Mining and Ontologies (9 papers), vaccines and immunoinformatics approaches (6 papers) and Bioinformatics and Genomic Networks (6 papers). Sune Pletscher-Frankild is often cited by papers focused on Biomedical Text Mining and Ontologies (9 papers), vaccines and immunoinformatics approaches (6 papers) and Bioinformatics and Genomic Networks (6 papers). Sune Pletscher-Frankild collaborates with scholars based in Denmark, Germany and United States. Sune Pletscher-Frankild's co-authors include Lars Juhl Jensen, Christian von Mering, Michael Kuhn, Damian Szklarczyk, Peer Bork, Alexander Röth, Jianyi Lin, Milan Simonovic, Pablo Mínguez and Andrea Franceschini and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Sune Pletscher-Frankild

17 papers receiving 6.0k citations

Hit Papers

STRING v9.1: protein-protein interaction networks, with i... 2012 2026 2016 2021 2012 2014 2014 2013 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. STRING v9.1: protein-protein interaction networks, with increased coverage and integration
    2012 3.5k citations Andrea Franceschini, Damian Szklarczyk et al. Nucleic Acids Research profile →
  2. COMPARTMENTS: unification and visualization of protein subcellular localization evidence
    2014 432 citations Janos X. Binder, Sune Pletscher-Frankild et al. Database profile →
  3. DISEASES: Text mining and data integration of disease–gene associations
    2014 396 citations Sune Pletscher-Frankild, Albert Pallejá et al. Methods profile →
  4. STITCH 4: integration of protein–chemical interactions with user data
    2013 362 citations Michael Kuhn, Damian Szklarczyk et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sune Pletscher-Frankild Denmark 15 4.4k 919 800 563 488 17 6.1k
Alexander R. Pico United States 30 5.7k 1.3× 515 0.6× 1.0k 1.3× 510 0.9× 490 1.0× 57 7.8k
Paola Picotti Switzerland 45 7.3k 1.7× 1.0k 1.1× 713 0.9× 267 0.5× 791 1.6× 110 10.5k
Inbar Plaschkes Israel 17 3.1k 0.7× 524 0.6× 670 0.8× 422 0.7× 370 0.8× 30 5.2k
Christopher W.V. Hogue Canada 25 6.9k 1.6× 476 0.5× 770 1.0× 975 1.7× 422 0.9× 62 8.9k
Jing Huang United States 40 4.8k 1.1× 445 0.5× 486 0.6× 261 0.5× 677 1.4× 124 6.8k
Anton Buzdin Russia 40 3.3k 0.8× 789 0.9× 953 1.2× 270 0.5× 776 1.6× 195 5.3k
Tsippi Iny Stein Israel 13 4.1k 0.9× 610 0.7× 1.0k 1.3× 677 1.2× 458 0.9× 13 6.9k
Kalliopi P. Tsafou Denmark 4 5.1k 1.2× 799 0.9× 1.3k 1.7× 448 0.8× 694 1.4× 4 7.9k
Pablo Mínguez Spain 27 6.3k 1.4× 860 0.9× 1.2k 1.4× 580 1.0× 672 1.4× 79 9.0k
Michael J. Campbell United States 25 5.7k 1.3× 799 0.9× 495 0.6× 181 0.3× 476 1.0× 83 8.3k

Countries citing papers authored by Sune Pletscher-Frankild

Since Specialization
Citations

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

Fields of papers citing papers by Sune Pletscher-Frankild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sune Pletscher-Frankild. 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 Sune Pletscher-Frankild. The network helps show where Sune Pletscher-Frankild may publish in the future.

Co-authorship network of co-authors of Sune Pletscher-Frankild

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

All Works

17 of 17 papers shown
1.
Hansson, Lena, Rasmus Borup Hansen, Sune Pletscher-Frankild, et al.. (2020). Semantic text mining in early drug discovery for type 2 diabetes. PLoS ONE. 15(6). e0233956–e0233956. 14 indexed citations
2.
Pletscher-Frankild, Sune & Lars Juhl Jensen. (2019). Design, implementation, and operation of a rapid, robust named entity recognition web service. Journal of Cheminformatics. 11(1). 19–19. 7 indexed citations
3.
Pafilis, Evangelos, Sune Pletscher-Frankild, Julia Schnetzer, et al.. (2015). ENVIRONMENTS and EOL: identification of Environment Ontology terms in text and the annotation of the Encyclopedia of Life. Bioinformatics. 31(11). 1872–1874. 14 indexed citations
4.
Bassani‐Sternberg, Michal, Sune Pletscher-Frankild, Lars Juhl Jensen, & Matthias Mann. (2015). Mass Spectrometry of Human Leukocyte Antigen Class I Peptidomes Reveals Strong Effects of Protein Abundance and Turnover on Antigen Presentation. Molecular & Cellular Proteomics. 14(3). 658–673. 317 indexed citations
5.
Santos, Alberto, Kalliopi Tsafou, Christian Stolte, et al.. (2015). Comprehensive comparison of large-scale tissue expression datasets. PeerJ. 3. e1054–e1054. 65 indexed citations
6.
Pletscher-Frankild, Sune, Albert Pallejá, Kalliopi Tsafou, Janos X. Binder, & Lars Juhl Jensen. (2014). DISEASES: Text mining and data integration of disease–gene associations. Methods. 74. 83–89. 396 indexed citations breakdown →
7.
Binder, Janos X., Sune Pletscher-Frankild, Kalliopi Tsafou, et al.. (2014). COMPARTMENTS: unification and visualization of protein subcellular localization evidence. Database. 2014(0). bau012–bau012. 432 indexed citations breakdown →
8.
Eriksson, Robert, Peter Bjødstrup Jensen, Sune Pletscher-Frankild, Lars Juhl Jensen, & Søren Brunak. (2013). Dictionary construction and identification of possible adverse drug events in Danish clinical narrative text. Journal of the American Medical Informatics Association. 20(5). 947–953. 64 indexed citations
9.
Kuhn, Michael, Damian Szklarczyk, Sune Pletscher-Frankild, et al.. (2013). STITCH 4: integration of protein–chemical interactions with user data. Nucleic Acids Research. 42(D1). D401–D407. 362 indexed citations breakdown →
10.
Pafilis, Evangelos, Sune Pletscher-Frankild, Lucia Fanini, et al.. (2013). The SPECIES and ORGANISMS Resources for Fast and Accurate Identification of Taxonomic Names in Text. PLoS ONE. 8(6). e65390–e65390. 121 indexed citations
11.
Pletscher-Frankild, Sune, et al.. (2013). Protein-driven inference of miRNA–disease associations. Bioinformatics. 30(3). 392–397. 173 indexed citations
12.
Franceschini, Andrea, Damian Szklarczyk, Sune Pletscher-Frankild, et al.. (2012). STRING v9.1: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Research. 41(D1). D808–D815. 3505 indexed citations breakdown →
13.
Wang, Peng, Young‐Hee Kim, John Beaver, et al.. (2008). Immune epitope database analysis resource (IEDB-AR). Nucleic Acids Research. 36(Web Server). W513–W518. 299 indexed citations
14.
Pletscher-Frankild, Sune, Rob J. de Boer, Ole Lund, Morten Nielsen, & Can Keşmir. (2008). Amino Acid Similarity Accounts for T Cell Cross-Reactivity and for “Holes” in the T Cell Repertoire. PLoS ONE. 3(3). e1831–e1831. 83 indexed citations
15.
Rapin, Nicolas, Can Keşmir, Sune Pletscher-Frankild, et al.. (2006). Modelling the Human Immune System by Combining Bioinformatics and Systems Biology Approaches. Journal of Biological Physics. 32(3-4). 335–353. 16 indexed citations
16.
Peters, Bjoern, Huynh‐Hoa Bui, Sune Pletscher-Frankild, et al.. (2006). A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules. PLoS Computational Biology. 2(6). e65–e65. 230 indexed citations
17.
Peters, Bjoern, Huynh‐Hoa Bui, Sune Pletscher-Frankild, et al.. (2005). A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules. PLoS Computational Biology. preprint(2006). e65–e65. 7 indexed citations

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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