Per E. Andrén

8.9k total citations
182 papers, 6.0k citations indexed

About

Per E. Andrén is a scholar working on Molecular Biology, Spectroscopy and Cellular and Molecular Neuroscience. According to data from OpenAlex, Per E. Andrén has authored 182 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 86 papers in Spectroscopy and 57 papers in Cellular and Molecular Neuroscience. Recurrent topics in Per E. Andrén's work include Mass Spectrometry Techniques and Applications (75 papers), Analytical Chemistry and Chromatography (36 papers) and Advanced Proteomics Techniques and Applications (33 papers). Per E. Andrén is often cited by papers focused on Mass Spectrometry Techniques and Applications (75 papers), Analytical Chemistry and Chromatography (36 papers) and Advanced Proteomics Techniques and Applications (33 papers). Per E. Andrén collaborates with scholars based in Sweden, United States and United Kingdom. Per E. Andrén's co-authors include Anna Nilsson, Per Svenningsson, Mohammadreza Shariatgorji, Richard M. Caprioli, Karl Sköld, Xiaoqun Zhang, Marcus Svensson, Richard J. A. Goodwin, Patrik Källback and Maria Fälth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Per E. Andrén

174 papers receiving 5.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Per E. Andrén Sweden 45 3.2k 3.2k 1.2k 593 515 182 6.0k
Mitsutoshi Setou Japan 58 3.5k 1.1× 7.6k 2.4× 1.7k 1.4× 315 0.5× 414 0.8× 312 12.6k
Anna Nilsson Sweden 37 2.0k 0.6× 2.2k 0.7× 429 0.4× 217 0.4× 198 0.4× 121 4.2k
Johan Gobom Sweden 41 1.5k 0.5× 2.8k 0.9× 358 0.3× 314 0.5× 354 0.7× 117 5.2k
Dominic M. Desiderio United States 46 2.1k 0.7× 4.7k 1.4× 1.2k 1.0× 314 0.5× 126 0.2× 235 8.2k
Terry D. Lee United States 39 1.4k 0.4× 3.1k 0.9× 1.1k 0.9× 524 0.9× 56 0.1× 93 6.4k
Yehia Mechref United States 61 4.5k 1.4× 8.8k 2.7× 228 0.2× 1.2k 2.1× 282 0.5× 318 11.6k
Mark R. Emmett United States 40 2.9k 0.9× 2.4k 0.8× 591 0.5× 441 0.7× 33 0.1× 114 5.4k
Jerzy Silberring Poland 32 885 0.3× 2.2k 0.7× 1.3k 1.1× 267 0.5× 62 0.1× 207 4.4k
Stanislav S. Rubakhin United States 48 3.3k 1.0× 2.9k 0.9× 972 0.8× 1.3k 2.1× 25 0.0× 154 6.1k
Gunnar Brinkmalm Sweden 39 670 0.2× 2.2k 0.7× 638 0.5× 217 0.4× 576 1.1× 134 5.4k

Countries citing papers authored by Per E. Andrén

Since Specialization
Citations

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

Fields of papers citing papers by Per E. Andrén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Per E. Andrén. 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 Per E. Andrén. The network helps show where Per E. Andrén may publish in the future.

Co-authorship network of co-authors of Per E. Andrén

This figure shows the co-authorship network connecting the top 25 collaborators of Per E. Andrén. A scholar is included among the top collaborators of Per E. Andrén 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 Per E. Andrén. Per E. Andrén 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.
Kula-Maximenko, Monika, et al.. (2025). Distribution of photosensitive fagopyrin in buckwheat flowers and its potential biological relevance. Scientific Reports. 15(1). 36279–36279.
2.
Zhang, Xiaoqun, Mara Mennuni, Dusanka Milenkovic, et al.. (2025). The CHCHD2-CHCHD10 protein complex is modulated by mitochondrial dysfunction and alters lipid homeostasis in the mouse brain. Cell Death and Disease. 16(1). 693–693.
3.
Shalev, Ori, Per E. Andrén, Claire Thornton, et al.. (2024). Spatial multiomic insights into acute cocaine exposure. PNAS Nexus. 3(10). 1 indexed citations
4.
Millen, Aletta M. E., et al.. (2024). Regional Changes in Brain Biomolecular Markers in a Collagen-Induced Arthritis Rat Model. Biology. 13(7). 516–516. 2 indexed citations
5.
Słomka, Aneta, et al.. (2024). The involvement of cyclotides in the heavy metal tolerance of Viola spp.. Scientific Reports. 14(1). 19306–19306. 2 indexed citations
6.
Aerts, Jordan T., Per E. Andrén, & Erik T. Jansson. (2023). Electrochemically Etched Tapered-Tip Stainless-Steel Electrospray-Ionization Emitters for Capillary Electrophoresis–Mass Spectrometry. Journal of Proteome Research. 22(4). 1377–1380. 3 indexed citations
7.
Jerlström-Hultqvist, Jon, et al.. (2023). RNA interactome capture in Escherichia coli globally identifies RNA-binding proteins. Nucleic Acids Research. 51(9). 4572–4587. 13 indexed citations
8.
Kaya, Ibrahim, Anna Nilsson, Theodosia Vallianatou, et al.. (2023). Spatial lipidomics reveals brain region-specific changes of sulfatides in an experimental MPTP Parkinson’s disease primate model. npj Parkinson s Disease. 9(1). 118–118. 30 indexed citations
9.
Bézard, Erwan, Qin Li, Heather Hulme, et al.. (2020). µ Opioid Receptor Agonism for L-DOPA-Induced Dyskinesia in Parkinson's Disease. Journal of Neuroscience. 40(35). 6812–6819. 20 indexed citations
10.
Andersson, Håkan S., Malin Strand, Steve Peigneur, et al.. (2018). Peptide ion channel toxins from the bootlace worm, the longest animal on Earth. Scientific Reports. 8(1). 4596–4596. 22 indexed citations
11.
Charkoftaki, Georgia, Nicholas J. W. Rattray, Per E. Andrén, et al.. (2018). Yale School of Public Health Symposium on tissue imaging mass spectrometry: illuminating phenotypic heterogeneity and drug disposition at the molecular level. Human Genomics. 12(1). 10–10. 3 indexed citations
12.
Wang, Xiangdong, Yong Zhang, Anna Nilsson, et al.. (2015). Association of chromosome 19 to lung cancer genotypes and phenotypes. Cancer and Metastasis Reviews. 34(2). 217–226. 30 indexed citations
13.
McDonnell, Liam A., Andreas Römpp, Benjamin Balluff, et al.. (2014). Discussion point: reporting guidelines for mass spectrometry imaging. Analytical and Bioanalytical Chemistry. 407(8). 2035–2045. 49 indexed citations
14.
Zhang, Xiaoqun, Per E. Andrén, Paul Greengard, & Per Svenningsson. (2008). Evidence for a role of the 5-HT 1B receptor and its adaptor protein, p11, in l -DOPA treatment of an animal model of Parkinsonism. Proceedings of the National Academy of Sciences. 105(6). 2163–2168. 94 indexed citations
15.
Sköld, Karl, Marcus Svensson, Mathias Norrman, et al.. (2007). The significance of biochemical and molecular sample integrity in brain proteomics and peptidomics: Stathmin 2‐20 and peptides as sample quality indicators. PROTEOMICS. 7(24). 4445–4456. 102 indexed citations
17.
Karlsson, K., et al.. (1997). Purification and Characterization of Substance P Endopeptidase Activities in the Rat Spinal Cord. Preparative Biochemistry & Biotechnology. 27(1). 59–78. 12 indexed citations
19.
Andrén, Per E. & Lars M. Gunne. (1992). A glutamate hypothesis for tardive dyskinesia. The Society for Neuroscience Abstracts. 18. 1604. 2 indexed citations
20.
Skude, G., et al.. (1987). Pancreatic Disease in Dyspepsia. Digestion. 37(1). 14–17. 4 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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