Sven Hellberg

58 papers receiving 2.8k citations

Peers

Sven Hellberg
Comparison fields: 5 of 158
  • Computational Theory and Mathematics 836
  • Analytical Chemistry 330
  • Small Animals 148
  • Molecular Biology 1.4k
  • Cellular and Molecular Neuroscience 329
Replace Manuel Pastor with:
Manuel Pastor Spain
Leming Shi United States
Johan Gottfries Sweden
Iain Gardner United Kingdom
Lothar Terfloth Germany
David T. Manallack Australia
Izet M. Kapetanović United States
Ronald L. Smith United States
Orazio Nicolotti Italy
S. Stoney Simons United States
Sven Hellberg relative to Manuel Pastor Spain Manuel Pastor's profile →
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Citations per year

Countries citing papers authored by Sven Hellberg

Since Specialization
Citations

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

Fields of papers citing papers by Sven Hellberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003466
2 1987419
3 1984213
4 2009205
5 1989147
6 2012124
7 1991123
8 2002105
9 2013103
10 198697
11 198991
12 198691
13
Modelling data tables by principal components and PLS: class patterns and quantitative predictive relations
198463
14 199660
15 198756
16 198954
17 202139
18 198537
19 199033
20 199030

About Sven Hellberg

Sven Hellberg is a scholar working on Computational Theory and Mathematics, Molecular Biology, Spectroscopy, Analytical Chemistry and Statistics and Probability, having authored 62 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (27 papers), Spectroscopy and Chemometric Analyses (10 papers), Analytical Chemistry and Chromatography (7 papers), Chemical Synthesis and Analysis (7 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Animal testing and alternatives (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Computational Theory and Mathematics (836 citations), Analytical Chemistry (330 citations), Small Animals (148 citations), Molecular Biology (1.4k citations) and Cellular and Molecular Neuroscience (329 citations). Sven Hellberg has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Svante Wold, Bert Skagerberg, Michael Sjöstróm, William J. Dunn, Stefan von Berg, Ratan V. Bhat, Jörgen Jönsson, Lennart Eriksson, Johann Gasteiger and Ulf Edlund. Their work appears in journals such as 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, Environmental Toxicology and Chemistry, Alternatives to Laboratory Animals, Xenobiotica and Journal of Pharmaceutical Sciences.

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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