Niklas Blomberg

21.8k citations
48 papers · 1.6k · h-index 22

Impact in

    • Computational Drug Discovery Methods
    • Peroxisome Proliferator-Activated Receptors
    • Protein Structure and Dynamics
    • Biomedical Text Mining and Ontologies
    • Receptor Mechanisms and Signaling
    • Bioinformatics and Genomic Networks

Papers in

Niklas Blomberg

44 papers receiving 1.6k citations

Peers

Niklas Blomberg
Comparison fields: 5 of 133
  • Computational Theory and Mathematics 484
  • Molecular Biology 1.1k
  • Pharmacology 101
  • Pharmacology 160
  • Biochemistry 68
Replace Neil Swainston with:
Neil Swainston United Kingdom
Stephan C. Schürer United States
Marcus Ennis United Kingdom
Adam Yasgar United States
Sérgio M. Marques Czechia
Yanli Wang China
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Ralph Gauges Germany
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Citations per field
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Citations per year

Countries citing papers authored by Niklas Blomberg

Since Specialization
Citations

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

Fields of papers citing papers by Niklas Blomberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Niklas Blomberg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Niklas Blomberg Line = papers co-authored together Niklas Blomberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001285
2 2012213
3 1999137
4 200791
5 199982
6 200080
7 200778
8 200959
9 200659
10 200654
11 201149
12 201247
13 201743
14 199731
15 202130
16 200730
17 201330
18 201130
19 200927
20 202022

About Niklas Blomberg

Niklas Blomberg is a scholar working on Molecular Biology, Computational Theory and Mathematics, Information Systems, Information Systems and Management and Public Health, Environmental and Occupational Health, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Genetics, Bioinformatics, and Biomedical Research (9 papers), Research Data Management Practices (8 papers), Scientific Computing and Data Management (7 papers), Chemistry and Chemical Engineering (4 papers), Protein Structure and Dynamics (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Computational Theory and Mathematics (484 citations), Molecular Biology (1.1k citations), Pharmacology (101 citations), Pharmacology (160 citations) and Biochemistry (68 citations). Niklas Blomberg has collaborated with scholars based in Sweden, United Kingdom and Germany. Frequent co-authors include Michaël Nilges, R.H.A. Folmer, Matti Saraste, Elena Baraldi, Ulla Karlsson, Krister Bamberg, Jens Petersen, Philippe Cronet, Eva‐Lotte Lindstedt and Ola Engkvist. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Molecular Informatics, Drug Discovery Today, Structure and Journal of Chemical Information and Modeling.

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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