Torbjörn Lundstedt

6.3k total citations · 2 hit papers
92 papers, 4.9k citations indexed

About

Torbjörn Lundstedt is a scholar working on Molecular Biology, Analytical Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Torbjörn Lundstedt has authored 92 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 18 papers in Analytical Chemistry and 16 papers in Computational Theory and Mathematics. Recurrent topics in Torbjörn Lundstedt's work include Spectroscopy and Chemometric Analyses (17 papers), Computational Drug Discovery Methods (15 papers) and Metabolomics and Mass Spectrometry Studies (13 papers). Torbjörn Lundstedt is often cited by papers focused on Spectroscopy and Chemometric Analyses (17 papers), Computational Drug Discovery Methods (15 papers) and Metabolomics and Mass Spectrometry Studies (13 papers). Torbjörn Lundstedt collaborates with scholars based in Sweden, United States and Germany. Torbjörn Lundstedt's co-authors include Johan Trygg, Elaine Holmes, Elisabeth Seifert, J T Pettersen, Rasmus Bødker Madsen, Bernt Thelin, Jon Gabrielsson, Jarl E. S. Wikberg, Peteris Prūsis and Jörgen Olsson and has published in prestigious journals such as PLoS ONE, Annals of the New York Academy of Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Torbjörn Lundstedt

90 papers receiving 4.7k citations

Hit Papers

Chemometrics in Metabonomics 1998 2026 2007 2016 2006 1998 250 500 750 1000
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.

  1. Chemometrics in Metabonomics
    2006 1.0k citations Johan Trygg, Torbjörn Lundstedt et al. Journal of Proteome Research profile →
  2. Experimental design and optimization
    1998 958 citations Torbjörn Lundstedt, Elisabeth Seifert et al. Chemometrics and Intelligent Laboratory Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Torbjörn Lundstedt Sweden 25 2.4k 765 647 647 450 92 4.9k
Johan Gottfries Sweden 34 2.5k 1.0× 616 0.8× 638 1.0× 385 0.6× 299 0.7× 87 4.8k
Zhenyu Zhu China 42 3.3k 1.4× 452 0.6× 435 0.7× 471 0.7× 230 0.5× 263 6.3k
Hongmei Lü China 35 2.1k 0.9× 1.2k 1.5× 628 1.0× 871 1.3× 242 0.5× 197 4.6k
Mariët J. van der Werf Netherlands 33 3.9k 1.6× 394 0.5× 704 1.1× 961 1.5× 465 1.0× 65 5.4k
Lunzhao Yi China 34 1.7k 0.7× 724 0.9× 405 0.6× 514 0.8× 617 1.4× 130 4.1k
David I. Ellis United Kingdom 36 3.3k 1.4× 1.5k 2.0× 768 1.2× 1.5k 2.3× 508 1.1× 61 5.8k
Henrik Antti Sweden 42 5.1k 2.1× 1.5k 2.0× 1.3k 2.0× 1.0k 1.6× 329 0.7× 96 8.3k
Shao‐Nong Chen United States 49 3.5k 1.4× 1.1k 1.4× 705 1.1× 406 0.6× 619 1.4× 229 8.2k
Shu Liu China 42 3.2k 1.3× 307 0.4× 501 0.8× 384 0.6× 295 0.7× 376 7.2k
Baichuan Deng China 30 1.2k 0.5× 1.2k 1.6× 167 0.3× 590 0.9× 336 0.7× 84 3.4k

Countries citing papers authored by Torbjörn Lundstedt

Since Specialization
Citations

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

Fields of papers citing papers by Torbjörn Lundstedt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torbjörn Lundstedt

This figure shows the co-authorship network connecting the top 25 collaborators of Torbjörn Lundstedt. A scholar is included among the top collaborators of Torbjörn Lundstedt 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 Torbjörn Lundstedt. Torbjörn Lundstedt 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.
Surowiec, Izabella, Raymond Noordam, Kate Bennett, et al.. (2019). Metabolomic and lipidomic assessment of the metabolic syndrome in Dutch middle-aged individuals reveals novel biological signatures separating health and disease. Metabolomics. 15(2). 23–23. 42 indexed citations
2.
Madsen, Rasmus Bødker, Solbritt Rantapää‐Dahlqvist, Torbjörn Lundstedt, Thomas Möritz, & Johan Trygg. (2012). Metabolic Responses to Change in Disease Activity during Tumor Necrosis Factor Inhibition in Patients with Rheumatoid Arthritis. Journal of Proteome Research. 11(7). 3796–3804. 11 indexed citations
3.
Trygg, Johan, Jessica Fuller, Rasmus Bødker Madsen, et al.. (2011). Serum metabolite signature predicts the acute onset of diabetes in spontaneously diabetic congenic BB rats. Metabolomics. 7(4). 593–603. 13 indexed citations
4.
Lundstedt, Torbjörn, Jon Gabrielsson, Carl-Johan Sennbro, et al.. (2011). Diagnostic properties of metabolic perturbations in rheumatoid arthritis. Arthritis Research & Therapy. 13(1). R19–R19. 111 indexed citations
5.
Lundstedt, Torbjörn, Mattias Hedenström, Daniel Soeria‐Atmadja, et al.. (2010). Dynamic modelling of time series data in nutritional metabonomics — A powerful complement to randomized clinical trials in functional food studies. Chemometrics and Intelligent Laboratory Systems. 104(1). 112–120. 11 indexed citations
6.
Muthas, Daniel, et al.. (2007). Focused hierarchical design of peptide libraries—follow the lead. Journal of Chemometrics. 21(10-11). 486–495. 7 indexed citations
7.
Gabrielsson, Jon, et al.. (2006). Robustness Testing of a Tablet Formulation Using Multivariate Design. Drug Development and Industrial Pharmacy. 32(3). 297–307. 11 indexed citations
8.
Johannesson, Petra, et al.. (2005). 13C‐ and 14C‐labelling of N‐[1‐(4‐chlorophenyl)‐1H‐pyrrol‐2‐yl‐methyleneamino] guanidinium acetate. Journal of Labelled Compounds and Radiopharmaceuticals. 48(8). 621–627. 1 indexed citations
9.
Trapencieris, Pēteris, et al.. (2004). The Nenitzescu reaction: an initial screening of experimental conditions for improvment of the yield of a model reaction. Journal of Chemometrics. 18(3-4). 183–187. 6 indexed citations
10.
Gabrielsson, Jon, et al.. (2004). Multivariate Methods in the Development of a New Tablet Formulation: Optimization and Validation. Drug Development and Industrial Pharmacy. 30(10). 1037–1049. 8 indexed citations
11.
Andersson, Per, et al.. (2003). Multivariate analysis of G protein‐coupled receptors. Journal of Chemometrics. 17(1). 82–92. 17 indexed citations
12.
Enstad, Gisle G., et al.. (2002). Investigation of Flow Properties of Powders by Means of a Uniaxial Tester, in Relation to Direct Tablet Compression. Drug Development and Industrial Pharmacy. 28(1). 15–28. 3 indexed citations
13.
Andersson, Per & Torbjörn Lundstedt. (2002). Hierarchical experimental design exemplified by QSAR evaluation of a chemical library directed towards the melanocortin 4 receptor. Journal of Chemometrics. 16(8-10). 490–496. 11 indexed citations
14.
Prūsis, Peteris, Torbjörn Lundstedt, & Jarl E. S. Wikberg. (2002). Proteo-chemometrics analysis of MSH peptide binding to melanocortin receptors. Protein Engineering Design and Selection. 15(4). 305–311. 29 indexed citations
15.
Dambrova, Maija, Helena Cirule, Claes Post, et al.. (2002). The novel guanidine ME10092 protects the heart during ischemia–reperfusion. European Journal of Pharmacology. 445(1-2). 105–113. 5 indexed citations
16.
Prūsis, Peteris, Ruta Muceniece, Per Andersson, et al.. (2001). PLS modeling of chimeric MS04/MSH-peptide and MC1/MC3-receptor interactions reveals a novel method for the analysis of ligand–receptor interactions. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1544(1-2). 350–357. 43 indexed citations
17.
Lapins, Maris, Peteris Prūsis, Aleksandrs Gutcaits, Torbjörn Lundstedt, & Jarl E. S. Wikberg. (2001). Development of proteo-chemometrics: a novel technology for the analysis of drug-receptor interactions. Biochimica et Biophysica Acta (BBA) - General Subjects. 1525(1-2). 180–190. 108 indexed citations
18.
Lundstedt, Torbjörn, et al.. (1995). Application of Multivariate Analysis in Pharmaceutical Development Work. Drug Development and Industrial Pharmacy. 21(9). 987–1007. 17 indexed citations
19.
Lundstedt, Torbjörn, et al.. (1994). The Relationship Between the Dissolution Rate and the Particle Size of Prednimustine: A Disagreement with the Noyes-Whitney Equation. Drug Development and Industrial Pharmacy. 20(16). 2547–2550. 6 indexed citations
20.
Carlson, Rolf, Michal Procházka, Torbjörn Lundstedt, et al.. (1988). Principal Properties for Synthetic Screening: Amines.. 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. 42b. 157–165. 10 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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