Sven Hellberg

4.3k total citations
60 papers, 2.9k citations indexed

About

Sven Hellberg is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Sven Hellberg has authored 60 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 17 papers in Molecular Biology and 12 papers in Spectroscopy. Recurrent topics in Sven Hellberg's work include Computational Drug Discovery Methods (27 papers), Spectroscopy and Chemometric Analyses (10 papers) and Analytical Chemistry and Chromatography (7 papers). Sven Hellberg is often cited by papers focused on Computational Drug Discovery Methods (27 papers), Spectroscopy and Chemometric Analyses (10 papers) and Analytical Chemistry and Chromatography (7 papers). Sven Hellberg collaborates with scholars based in Sweden, United States and Germany. Sven Hellberg's co-authors include Svante Wold, Bert Skagerberg, Michael Sjöstróm, William J. Dunn, Lennart Eriksson, Stefan von Berg, Ratan V. Bhat, Jörgen Jönsson, Ulf Edlund and Johann Gasteiger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Sven Hellberg

56 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven Hellberg Sweden 23 1.4k 844 337 328 309 60 2.9k
Johan Gottfries Sweden 34 2.5k 1.8× 857 1.0× 230 0.7× 616 1.9× 638 2.1× 87 4.8k
J. P. Doucet France 23 1.1k 0.7× 546 0.6× 439 1.3× 151 0.5× 351 1.1× 71 2.3k
David T. Manallack Australia 28 1.1k 0.8× 706 0.8× 339 1.0× 165 0.5× 373 1.2× 87 2.6k
Joseph F. Contrera United States 32 717 0.5× 818 1.0× 582 1.7× 71 0.2× 197 0.6× 64 2.5k
Izet M. Kapetanović United States 28 1.1k 0.8× 296 0.4× 337 1.0× 80 0.2× 126 0.4× 94 2.8k
Colin McMartin United Kingdom 26 1.7k 1.2× 982 1.2× 420 1.2× 98 0.3× 321 1.0× 70 3.4k
Leming Shi United States 38 3.0k 2.1× 914 1.1× 83 0.2× 113 0.3× 237 0.8× 94 4.9k
Antonius ter Laak Germany 26 1.0k 0.7× 787 0.9× 263 0.8× 69 0.2× 263 0.9× 47 2.0k
Iain Gardner United Kingdom 28 987 0.7× 375 0.4× 81 0.2× 85 0.3× 198 0.6× 94 2.9k
Yvonne Will United States 37 2.6k 1.8× 667 0.8× 359 1.1× 36 0.1× 101 0.3× 84 5.3k

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-authorship network of co-authors of Sven Hellberg

This figure shows the co-authorship network connecting the top 25 collaborators of Sven Hellberg. A scholar is included among the top collaborators of Sven Hellberg 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 Sven Hellberg. Sven Hellberg 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
1.
Fagerholm, Urban, Sven Hellberg, Jonathan Alvarsson, & Ola Spjuth. (2022). In Silico Prediction of Human Clinical Pharmacokinetics with ANDROMEDA by Prosilico: Predictions for an Established Benchmarking Data Set, a Modern Small Drug Data Set, and a Comparison with Laboratory Methods. Alternatives to Laboratory Animals. 51(1). 39–54. 3 indexed citations
2.
Fagerholm, Urban, Ola Spjuth, & Sven Hellberg. (2022). The Impact of Reference Data Selection for the Prediction Accuracy of Intrinsic Hepatic Metabolic Clearance. Journal of Pharmaceutical Sciences. 111(9). 2645–2649. 2 indexed citations
3.
Fagerholm, Urban, Sven Hellberg, Jonathan Alvarsson, & Ola Spjuth. (2022). In silico predictions of the human pharmacokinetics/toxicokinetics of 65 chemicals from various classes using conformal prediction methodology. Xenobiotica. 52(2). 113–118. 4 indexed citations
4.
Fagerholm, Urban, Sven Hellberg, Jonathan Alvarsson, & Ola Spjuth. (2022). In Silico Predictions of the Gastrointestinal Uptake of Macrocycles in Man Using Conformal Prediction Methodology. Journal of Pharmaceutical Sciences. 111(9). 2614–2619. 1 indexed citations
5.
Fagerholm, Urban, Ola Spjuth, & Sven Hellberg. (2021). Comparison between lab variability andin silicoprediction errors for the unbound fraction of drugs in human plasma. Xenobiotica. 51(10). 1095–1100. 10 indexed citations
6.
Fagerholm, Urban, et al.. (2021). In silico prediction of volume of distribution of drugs in man using conformal prediction performs on par with animal data-based models. Xenobiotica. 51(12). 1366–1371. 11 indexed citations
7.
Paquet, Dominik, Ratan V. Bhat, Astrid Sydow, et al.. (2009). A zebrafish model of tauopathy allows in vivo imaging of neuronal cell death and drug evaluation. Journal of Clinical Investigation. 119(5). 1382–1395. 204 indexed citations
8.
Bhat, Ratan V., Yafeng Xue, Stefan von Berg, et al.. (2003). Structural Insights and Biological Effects of Glycogen Synthase Kinase 3-specific Inhibitor AR-A014418. Journal of Biological Chemistry. 278(46). 45937–45945. 460 indexed citations
9.
Wieslander, Åke, Leif Rilfors, Anders Dahlqvist, et al.. (1994). Similar regulatory mechanisms despite differences in membrane lipid composition in Acholeplasma laidlawii strains A-EF22 and B-PG9. A multivariate data analysis. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1191(2). 331–342. 13 indexed citations
10.
Jönsson, Jörgen, Lennart Eriksson, Sven Hellberg, et al.. (1991). A Multivariate Representation and Analysis of DNA Sequence Data.. 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. 45(2). 186–192. 13 indexed citations
11.
Hellberg, Sven, Lennart Eriksson, Jörgen Jönsson, et al.. (1991). Minimum analogue peptide sets (MAPS) for quantitative structure‐activity relationships. International journal of peptide & protein research. 37(5). 414–424. 123 indexed citations
12.
Eriksson, Lennart, Jörgen Jönsson, Sven Hellberg, et al.. (1991). A STRATEGY FOR RANKING ENVIRONMENTALLY OCCURRING CHEMICALS. PART V: THE DEVELOPMENT OF TWO GENOTOXICITY QSARs FOR HALOGENATED ALIPHATICS. Environmental Toxicology and Chemistry. 10(5). 585–585.
13.
Hellberg, Sven & William R. Kem. (1990). Quantitative structure‐activity relationships for sea anemone polypeptide toxins. International journal of peptide & protein research. 36(5). 440–444. 3 indexed citations
14.
Jönsson, Jörgen, Lennart C. Eriksson, Sven Hellberg, et al.. (1989). A Multivariate Approach to Saccharide Quantitative Structure-Activity Relationships Exemplified by Two Series of 9-Hydroxyellipticine Glycosides.. 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. 43(3). 286–289. 3 indexed citations
15.
Ekwall, Björn, et al.. (1989). MEIC—A new international multicenter project to evaluate the relevance to human toxicity of in vitro cytotoxicity tests. Cell Biology and Toxicology. 5(3). 331–347. 147 indexed citations
16.
Wold, Svante, William J. Dunn, & Sven Hellberg. (1985). Toxicity Modeling and Prediction with Pattern Recognition. Environmental Health Perspectives. 61. 257–257.
17.
Wold, Svante, Christer Albano, William J. Dunn, et al.. (1984). Modelling data tables by principal components and PLS: class patterns and quantitative predictive relations. Analusis. 12(10). 477–485. 63 indexed citations
18.
Lamm, Bo, Åke Nilsson, Dan Johnels, et al.. (1983). Preparation of 4-(2-Deuterio-2-propyl)anisole Through Cathodic Cleavage of a Sulfone in the Presence of Deuterium Oxide.. 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. 37b. 77–78. 2 indexed citations
19.
Alunni, Sergio, Sérgio Clementi, Ulf Edlund, et al.. (1983). ChemInform Abstract: MULTIVARIATE DATA ANALYSIS OF SUBSTITUENT DESCRIPTORS. Chemischer Informationsdienst. 14(26). 15 indexed citations
20.
Larm, Olle, M. Mosihuzzaman, Dan Johnels, et al.. (1983). The Nitrous Acid Deamination of Methyl 2-Amino-2-deoxy-alpha-D-glucopyranoside, 2-Amino-2-deoxy-1,3,4,6-tetra-O-acetyl-beta-D-glucopyranose and 2,3,4,6-Tetra-O-acetyl-beta-D-glucopyranosylamine in Glacial Acetic Acid.. 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. 37b. 72–74.

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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