AnnSofi Sandberg

922 total citations · 1 hit paper
16 papers, 697 citations indexed

About

AnnSofi Sandberg is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, AnnSofi Sandberg has authored 16 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Spectroscopy and 4 papers in Biomedical Engineering. Recurrent topics in AnnSofi Sandberg's work include Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). AnnSofi Sandberg is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Mass Spectrometry Techniques and Applications (6 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). AnnSofi Sandberg collaborates with scholars based in Sweden, Germany and United Kingdom. AnnSofi Sandberg's co-authors include Janne Lehtiö, Maria Pernemalm, Åsa M. Wheelock, Jenny Forshed, Rui M. Branca, C. Magnus Sköld, Xiaofang Cao, Gözde Güçlüler Akpinar, Maria Eldh and Paulo Czarnewski and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

AnnSofi Sandberg

16 papers receiving 686 citations

Hit Papers

Molecular evaluation of f... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
AnnSofi Sandberg Sweden 9 442 140 124 109 90 16 697
Kishore Gollapalli India 12 285 0.6× 54 0.4× 107 0.9× 24 0.2× 47 0.5× 14 517
Carlos Garcı́a Spain 17 431 1.0× 27 0.2× 52 0.4× 55 0.5× 52 0.6× 39 728
Ida Grundberg Sweden 10 479 1.1× 128 0.9× 38 0.3× 33 0.3× 33 0.4× 14 769
Christian Jurinke Germany 12 446 1.0× 66 0.5× 200 1.6× 36 0.3× 42 0.5× 21 876
Maria Teresa Sanna Italy 17 385 0.9× 28 0.2× 163 1.3× 469 4.3× 29 0.3× 51 958
Xiaodong Zhuang United Kingdom 17 294 0.7× 78 0.6× 15 0.1× 82 0.8× 54 0.6× 36 729
David M. Cox Canada 19 590 1.3× 64 0.5× 155 1.3× 37 0.3× 21 0.2× 48 1.2k
Yurong Huang China 19 610 1.4× 201 1.4× 36 0.3× 72 0.7× 74 0.8× 67 959
Louise Alldridge United Kingdom 11 392 0.9× 112 0.8× 46 0.4× 22 0.2× 64 0.7× 23 705
Mariusz Zimmer Poland 18 298 0.7× 57 0.4× 16 0.1× 52 0.5× 68 0.8× 110 1.1k

Countries citing papers authored by AnnSofi Sandberg

Since Specialization
Citations

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

Fields of papers citing papers by AnnSofi Sandberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of AnnSofi Sandberg

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

All Works

16 of 16 papers shown
1.
Sharma, Nidhi, AnnSofi Sandberg, Georgios Mermelekas, et al.. (2024). Defining the Soluble and Extracellular Vesicle Protein Compartments of Plasma Using In-Depth Mass Spectrometry-Based Proteomics. Journal of Proteome Research. 23(9). 4114–4127. 6 indexed citations
2.
Veerman, Rosanne E., Paulo Czarnewski, Gözde Güçlüler Akpinar, et al.. (2021). Molecular evaluation of five different isolation methods for extracellular vesicles reveals different clinical applicability and subcellular origin. Journal of Extracellular Vesicles. 10(9). e12128–e12128. 232 indexed citations breakdown →
3.
Cao, Xiaofang, AnnSofi Sandberg, J.E. Araújo, et al.. (2021). Evaluation of Spin Columns for Human Plasma Depletion to Facilitate MS-Based Proteomics Analysis of Plasma. Journal of Proteome Research. 20(9). 4610–4620. 26 indexed citations
4.
Pernemalm, Maria, AnnSofi Sandberg, Yafeng Zhu, et al.. (2019). In-depth human plasma proteome analysis captures tissue proteins and transfer of protein variants across the placenta. eLife. 8. 53 indexed citations
5.
Järver, Peter, Candice Poux, AnnSofi Sandberg, et al.. (2018). Single-Stranded Nucleic Acids Regulate TLR3/4/7 Activation through Interference with Clathrin-Mediated Endocytosis. Scientific Reports. 8(1). 15841–15841. 14 indexed citations
6.
Sandberg, AnnSofi, Volker Buschmann, Peter Kapusta, Rainer Erdmann, & Åsa M. Wheelock. (2016). Use of Time-Resolved Fluorescence To Improve Sensitivity and Dynamic Range of Gel-Based Proteomics. Analytical Chemistry. 88(6). 3067–3074. 5 indexed citations
7.
Sandberg, AnnSofi, Rui M. Branca, Janne Lehtiö, & Jenny Forshed. (2013). Quantitative accuracy in mass spectrometry based proteomics of complex samples: The impact of labeling and precursor interference. Journal of Proteomics. 96. 133–144. 69 indexed citations
8.
Lengqvist, Johan & AnnSofi Sandberg. (2013). Stable Isotope Labeling Methods in Protein Profiling. Methods in molecular biology. 1023. 21–51. 8 indexed citations
9.
Kohler, Maxie, AnnSofi Sandberg, Sanela Kjellqvist, et al.. (2012). Gender differences in the bronchoalveolar lavage cell proteome of patients with chronic obstructive pulmonary disease. Journal of Allergy and Clinical Immunology. 131(3). 743–751.e9. 56 indexed citations
10.
Sandberg, AnnSofi, et al.. (2012). Tumor Proteomics by Multivariate Analysis on Individual Pathway Data for Characterization of Vulvar Cancer Phenotypes. Molecular & Cellular Proteomics. 11(7). M112.016998–1. 83 indexed citations
11.
Sandberg, AnnSofi, C. Magnus Sköld, Johan Grünewald, Anders Eklund, & Åsa M. Wheelock. (2011). Assessing Recent Smoking Status by Measuring Exhaled Carbon Monoxide Levels. PLoS ONE. 6(12). e28864–e28864. 110 indexed citations
12.
Forshed, Jenny, Henrik J. Johansson, Maria Pernemalm, et al.. (2011). Enhanced Information Output From Shotgun Proteomics Data by Protein Quantification and Peptide Quality Control (PQPQ). Molecular & Cellular Proteomics. 10(10). M111.010264–M111.010264. 23 indexed citations
13.
Sandberg, AnnSofi, Magnus Sköld, Johan Grünewald, Anders Eklúnd, & Åsa M. Wheelock. (2011). Carbon monoxide levels in exhaled breath as a measure of recent smoking status. The Clinical Respiratory Journal. 5(s1). 8–9. 1 indexed citations
14.
Koberling, Felix, Volker Buschmann, Carsten Hille, et al.. (2010). Fast rasterscanning enables FLIM in macroscopic samples up to several centimeters. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7569. 756931–756931. 3 indexed citations
15.
Sandberg, AnnSofi, Volker Buschmann, Peter Kapusta, Rainer Erdmann, & Åsa M. Wheelock. (2010). The use of time-resolved fluorescence in gel-based proteomics for improved biomarker discovery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7568. 756811–756811. 2 indexed citations
16.
Persson, Gustav, Tor Sandén, AnnSofi Sandberg, & Jerker Widengren. (2009). Fluorescence cross-correlation spectroscopy of a pH-sensitive ratiometric dye for molecular proton exchange studies. Physical Chemistry Chemical Physics. 11(21). 4410–4410. 6 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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