Peder Worning

3.9k citations
46 papers · 2.9k indexed · 1 hit paper · h-index 24
Topics
Antimicrobial Resistance in Staphylococcus (27 papers)Bacterial Identification and Susceptibility Testing (21 papers)Bacterial biofilms and quorum sensing (13 papers)

In The Last Decade

Peder Worning

44 papers receiving 2.8k citations

Hit Papers

Reliable prediction of T‐cell epitopes using neural netwo...20032026201020182003250500750

Peers

Peder Worning
Comparison fields: 5 of 106
  • Molecular Biology 1.9k
  • Immunology 938
  • Infectious Diseases 844
  • Radiology, Nuclear Medicine and Imaging 487
  • Clinical Biochemistry 393
Replace Vijay Pancholi with:
Vijay Pancholi United States
Richard J. O’Callaghan United States
Domenico Maione Italy
Donald J. Gardner United States
Neelam Dhiman United States
Andreas Meinke Austria
Nathalie Norais Italy
Vannakambadi K. Ganesh United States
Prajna Lalitha India
Sylvie Bertholet United States
Peder Worning relative to Vijay Pancholi United States Vijay Pancholi's profile →
Citations per field
00.5×7.5×
Vijay Pancholi · 1×
Citations per year

Countries citing papers authored by Peder Worning

Since Specialization
Citations

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

Fields of papers citing papers by Peder Worning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peder Worning

This figure shows the co-authorship network connecting the top 25 collaborators of Peder Worning. A scholar is included among the top collaborators of Peder Worning 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 Peder Worning. Peder Worning 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
#WorkIndexed citations
1 0
2 4
3 3
4 6
5 26
6 49
7 20
8 13
9 61
10 12
11 15
12 38
13 11
14 221
15 47
16 212
17
Reliable prediction of T‐cell epitopes using neural networks with novel sequence representationsbreakdown →
832
18 39
19 65
20 71

About Peder Worning

Peder Worning is a scholar working on Clinical Biochemistry, Infectious Diseases and Endocrinology, having authored 46 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (27 papers), Bacterial Identification and Susceptibility Testing (21 papers) and Bacterial biofilms and quorum sensing (13 papers). The work is most often cited by research in Clinical Biochemistry (393 citations), Infectious Diseases (844 citations) and Immunology (938 citations). Peder Worning has collaborated with scholars based in Denmark, United States and Portugal. Frequent co-authors include Søren Brunak, Søren Buus, Ole Lund, Morten Nielsen, Kasper Lamberth, Claus Lundegaard, Sanne Lise Lauemøller, Henrik Westh, Jesper Boye Nielsen and Can Keşmir. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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