Ulf Norinder

165 papers receiving 5.4k citations

Hit Papers

Deep Docking: A Deep Learning Platform for Augmentation o...259202020262022202450100150200250

Peers

Ulf Norinder
Comparison fields: 5 of 179
  • Computational Theory and Mathematics 2.4k
  • Pharmacology 541
  • Spectroscopy 943
  • Pharmaceutical Science 335
  • Oncology 1.3k
Replace H. Van De Waterbeemd with:
H. Van De Waterbeemd Switzerland
Kristina Luthman Sweden
Gabriele Cruciani Italy
Nicholas Bodor United States
William J. Welsh United States
Anne Hersey United Kingdom
Dennis A. Smith United Kingdom
Tudor I. Oprea United States
Stephen R. Johnson United States
Igor V. Tetko Germany
Ulf Norinder relative to H. Van De Waterbeemd Switzerland H. Van De Waterbeemd's profile →
Citations per field
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H. Van De Waterbeemd · 1×
Citations per year

Countries citing papers authored by Ulf Norinder

Since Specialization
Citations

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

Fields of papers citing papers by Ulf Norinder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ulf Norinder, 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 Ulf Norinder Line = papers co-authored together Ulf Norinder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 202219
5 202220
6 202214
7 20214
8 202116
9 202147
10 202012
11
Deep Docking: A Deep Learning Platform for Augmentation of Structure Based Drug Discoverybreakdown →
2020259
12 202014
13 20198
14 20197
15 2019174
16 201841
17 201811
18 20181
19 201820
20
The Trade-Off between Accuracy and Interpretability for Predictive In Silico Modeling
20111

About Ulf Norinder

Ulf Norinder is a scholar working on Computational Theory and Mathematics, Spectroscopy, Analytical Chemistry, Pharmaceutical Science and Physical and Theoretical Chemistry, having authored 174 papers that have together received 5.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (92 papers), Analytical Chemistry and Chromatography (28 papers), Machine Learning in Materials Science (21 papers), Drug Transport and Resistance Mechanisms (14 papers), Synthesis and Properties of Aromatic Compounds (12 papers), Protein Structure and Dynamics (10 papers), Spectroscopy and Chemometric Analyses (10 papers) and Crystallization and Solubility Studies (9 papers). The work is most often cited by research in Computational Theory and Mathematics (2.4k citations), Pharmacology (541 citations), Spectroscopy (943 citations), Pharmaceutical Science (335 citations) and Oncology (1.3k citations). Ulf Norinder has collaborated with scholars based in Sweden, United Kingdom and Germany. Frequent co-authors include Per Artursson, Christel A. S. Bergström, Thomas Österberg, Pär Matsson, Kristina Luthman, Scott Boyer, Lars Carlsson, Markus Haeberlein, Fredrik Svensson and Martin Eklund. Their work appears in journals such as Journal of Chemical Information and Modeling, Acta chemica Scandinavica/Acta chemica Scandinavica. B, Organic chemistry and biochemistry/Acta chemica Scandinavica. A, Physical and inorganic chemistry/Acta chemica Scandinavica. Series B. Organic chemistry and biochemistry/Acta chemica Scandinavica. Series A, Physical and inorganic chemistry, Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences and Tetrahedron Letters.

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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