Jonathan Alvarsson

1.5k total citations · 1 hit paper
25 papers, 840 citations indexed

About

Jonathan Alvarsson is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Jonathan Alvarsson has authored 25 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Theory and Mathematics, 15 papers in Molecular Biology and 9 papers in Spectroscopy. Recurrent topics in Jonathan Alvarsson's work include Computational Drug Discovery Methods (18 papers), Analytical Chemistry and Chromatography (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Jonathan Alvarsson is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Analytical Chemistry and Chromatography (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Jonathan Alvarsson collaborates with scholars based in Sweden, United Kingdom and United States. Jonathan Alvarsson's co-authors include Ola Spjuth, Arvid Berg, Lars Carlsson, Egon Willighagen, Stefan Kühn, Christoph Steinbeck, Gilleain Torrance, Samuel Lampa, Jarl E. S. Wikberg and Ulf Norinder and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Journal of Pharmaceutical Sciences.

In The Last Decade

Jonathan Alvarsson

23 papers receiving 816 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching

2017 366 citations Egon Willighagen, John W. Mayfield et al. Journal of Cheminformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Alvarsson Sweden	13	495	438	161	155	67	25	840
Oliver Horlacher Switzerland	8	583 1.2×	680 1.6×	159 1.0×	239 1.5×	92 1.4×	10	1.1k
Valery Tkachenko United States	14	450 0.9×	470 1.1×	201 1.2×	124 0.8×	45 0.7×	18	1.0k
Edgar Luttmann Germany	9	605 1.2×	628 1.4×	178 1.1×	177 1.1×	132 2.0×	10	1.0k
Kohulan Rajan Germany	11	314 0.6×	347 0.8×	144 0.9×	62 0.4×	112 1.7×	29	681
Alan D. Mcnaught United States	9	485 1.0×	786 1.8×	370 2.3×	219 1.4×	70 1.0×	14	1.6k
Achim Zielesny Germany	18	210 0.4×	239 0.5×	215 1.3×	124 0.8×	38 0.6×	48	702
Arvid Berg Sweden	6	309 0.6×	288 0.7×	91 0.6×	108 0.7×	49 0.7×	7	500
John W. Mayfield United States	3	581 1.2×	542 1.2×	207 1.3×	104 0.7×	102 1.5×	3	936
Glenn J. Myatt United States	15	421 0.9×	489 1.1×	79 0.5×	62 0.4×	51 0.8×	36	1.0k
Dmitrii V. Tchekhovskoi United States	15	517 1.0×	1.1k 2.5×	308 1.9×	564 3.6×	71 1.1×	24	1.8k

Countries citing papers authored by Jonathan Alvarsson

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Alvarsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Alvarsson

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Alvarsson. A scholar is included among the top collaborators of Jonathan Alvarsson 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 Jonathan Alvarsson. Jonathan Alvarsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Norinder, Ulf, et al.. (2024). CPSign: conformal prediction for cheminformatics modeling. Journal of Cheminformatics. 16(1). 75–75. 4 indexed citations

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

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

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

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

Alvarsson, Jonathan, Arvid Berg, Anders Larsson, et al.. (2020). Predicting target profiles with confidence as a service using docking scores. Journal of Cheminformatics. 12(1). 1 indexed citations

Alvarsson, Jonathan, et al.. (2020). Predicting With Confidence: Using Conformal Prediction in Drug Discovery. Journal of Pharmaceutical Sciences. 110(1). 42–49. 63 indexed citations

Lampa, Samuel, et al.. (2019). SciPipe: A workflow library for agile development of complex and dynamic bioinformatics pipelines. GigaScience. 8(5). 21 indexed citations

Kensert, Alexander, Jonathan Alvarsson, Ulf Norinder, & Ola Spjuth. (2018). Evaluating parameters for ligand-based modeling with random forest on sparse data sets. Journal of Cheminformatics. 10(1). 49–49. 41 indexed citations

10.

Lampa, Samuel, et al.. (2018). Predicting Off-Target Binding Profiles With Confidence Using Conformal Prediction. Frontiers in Pharmacology. 9. 1256–1256. 24 indexed citations

11.

Lapins, Maris, Samuel Lampa, Arvid Berg, et al.. (2018). A confidence predictor for logD using conformal regression and a support-vector machine. Journal of Cheminformatics. 10(1). 17–17. 46 indexed citations

12.

Willighagen, Egon, John W. Mayfield, Jonathan Alvarsson, et al.. (2017). The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching. Journal of Cheminformatics. 9(1). 33–33. 366 indexed citations breakdown →

13.

Nygren, Peter, et al.. (2015). Ex Vivo Assessment of Drug Activity in Patient Tumor Cells as a Basis for Tailored Cancer Therapy. SLAS TECHNOLOGY. 21(1). 178–187. 27 indexed citations

14.

Moghadam, Behrooz Torabi, et al.. (2014). Scaling Predictive Modeling in Drug Development with Cloud Computing. Journal of Chemical Information and Modeling. 55(1). 19–25. 10 indexed citations

15.

Alvarsson, Jonathan, Martin Eklund, Ola Engkvist, et al.. (2014). Ligand-Based Target Prediction with Signature Fingerprints. Journal of Chemical Information and Modeling. 54(10). 2647–2653. 36 indexed citations

16.

Alvarsson, Jonathan, Martin Eklund, Claes Andersson, et al.. (2014). Benchmarking Study of Parameter Variation When Using Signature Fingerprints Together with Support Vector Machines. Journal of Chemical Information and Modeling. 54(11). 3211–3217. 32 indexed citations

17.

Spjuth, Ola, et al.. (2012). Open Source Drug Discovery with Bioclipse. Current Topics in Medicinal Chemistry. 12(18). 1980–1986. 8 indexed citations

18.

Spjuth, Ola, Lars Carlsson, Jonathan Alvarsson, et al.. (2012). Bioclipse-R: integrating management and visualization of life science data with statistical analysis. Bioinformatics. 29(2). 286–289. 8 indexed citations

19.

Alvarsson, Jonathan, Claes Andersson, Ola Spjuth, Rolf Larsson, & Jarl E. S. Wikberg. (2011). Brunn: An open source laboratory information system for microplates with a graphical plate layout design process. BMC Bioinformatics. 12(1). 179–179. 5 indexed citations

20.

Spjuth, Ola, Jonathan Alvarsson, Arvid Berg, et al.. (2009). Bioclipse 2: A scriptable integration platform for the life sciences. BMC Bioinformatics. 10(1). 397–397. 48 indexed citations

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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