Sofia Waldemarson

1.5k total citations
19 papers, 378 citations indexed

About

Sofia Waldemarson is a scholar working on Molecular Biology, Spectroscopy and Reproductive Medicine. According to data from OpenAlex, Sofia Waldemarson has authored 19 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Spectroscopy and 4 papers in Reproductive Medicine. Recurrent topics in Sofia Waldemarson's work include Advanced Proteomics Techniques and Applications (11 papers), Ovarian cancer diagnosis and treatment (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Sofia Waldemarson is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Ovarian cancer diagnosis and treatment (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Sofia Waldemarson collaborates with scholars based in Sweden, United States and Austria. Sofia Waldemarson's co-authors include Johan Malmström, Peter James, Christofer Karlsson, Pontus Nordenfelt, Lars Björck, Matthias Mörgelin, Adam Linder, Morten Krogh, Karin Hansson and Kelly R. Molloy and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Sofia Waldemarson

19 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sofia Waldemarson Sweden 11 226 144 55 38 36 19 378
Richard K. Niles United States 11 189 0.8× 110 0.8× 61 1.1× 17 0.4× 14 0.4× 13 388
Lynn A. Beer United States 13 259 1.1× 137 1.0× 45 0.8× 6 0.2× 41 1.1× 21 442
Annie Ha Canada 4 352 1.6× 251 1.7× 15 0.3× 13 0.3× 28 0.8× 9 505
Suruchi Aggarwal India 14 274 1.2× 98 0.7× 36 0.7× 31 0.8× 47 1.3× 27 439
Esther Willems Netherlands 9 316 1.4× 44 0.3× 22 0.4× 20 0.5× 19 0.5× 10 465
Oliver K. Bernhard Australia 10 188 0.8× 80 0.6× 11 0.2× 17 0.4× 46 1.3× 11 325
Marijana Ručević United States 14 249 1.1× 115 0.8× 20 0.4× 27 0.7× 28 0.8× 23 578
Mark Igra United States 6 383 1.7× 302 2.1× 16 0.3× 11 0.3× 26 0.7× 8 511
Jorrit Boekel Sweden 7 265 1.2× 99 0.7× 18 0.3× 15 0.4× 48 1.3× 8 456
Daniel A. Plymire United States 10 172 0.8× 88 0.6× 16 0.3× 15 0.4× 34 0.9× 16 461

Countries citing papers authored by Sofia Waldemarson

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Waldemarson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sofia Waldemarson

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

All Works

19 of 19 papers shown
1.
Lindemann, Kristina, Miguel Henriques Abreu, Dorry Boll, et al.. (2023). Ovarian cancer and bevacizumab: Real-world use across western countries and effect on survival in high-risk subgroups.. Journal of Clinical Oncology. 41(16_suppl). 5587–5587. 1 indexed citations
2.
Malmström, Johan, et al.. (2021). Targeted Selected Reaction Monitoring Verifies Histology Specific Peptide Signatures in Epithelial Ovarian Cancer. Cancers. 13(22). 5713–5713. 1 indexed citations
3.
Marcišauskas, Simonas, Benjamin Ulfenborg, Björg Kristjánsdóttir, Sofia Waldemarson, & Karin Sundfeldt. (2019). Univariate and classification analysis reveals potential diagnostic biomarkers for early stage ovarian cancer Type 1 and Type 2. Journal of Proteomics. 196. 57–68. 15 indexed citations
4.
Ottosson, Filip, et al.. (2018). Advancing the immunoaffinity platform AFFIRM to targeted measurements of proteins in serum in the pg/ml range. PLoS ONE. 13(2). e0189116–e0189116. 7 indexed citations
5.
Waldemarson, Sofia, Morten Krogh, Paolo Cifani, et al.. (2016). Proteomic analysis of breast tumors confirms the mRNA intrinsic molecular subtypes using different classifiers: a large-scale analysis of fresh frozen tissue samples. Breast Cancer Research. 18(1). 69–69. 8 indexed citations
6.
Åhrman, Emma, et al.. (2016). Quantitative Mass Spectrometry To Study Inflammatory Cartilage Degradation and Resulting Interactions with the Complement System. The Journal of Immunology. 197(8). 3415–3424. 12 indexed citations
7.
Sjöström, Martin, Morten Krogh, Dorthe Grabau, et al.. (2015). Changes in glycoprotein expression between primary breast tumour and synchronous lymph node metastases or asynchronous distant metastases. Clinical Proteomics. 12(1). 13–13. 18 indexed citations
8.
Cifani, Paolo, et al.. (2015). Molecular Portrait of Breast-Cancer-Derived Cell Lines Reveals Poor Similarity with Tumors. Journal of Proteome Research. 14(7). 2819–2827. 7 indexed citations
9.
Waldemarson, Sofia, et al.. (2015). Development of Phage-Based Antibody Fragment Reagents for Affinity Enrichment of Bacterial Immunoglobulin G Binding Proteins. Journal of Proteome Research. 14(11). 4704–4713. 5 indexed citations
10.
Olsson, Niclas, et al.. (2014). AFFIRM—A Multiplexed Immunoaffinity Platform That Combines Recombinant Antibody Fragments and LC-SRM Analysis. Journal of Proteome Research. 13(12). 5837–5847. 6 indexed citations
11.
Waldemarson, Sofia, Åsa Wåhlander, Beatrix Ueberheide, et al.. (2013). Detection and correction of interference in SRM analysis. Methods. 61(3). 299–303. 21 indexed citations
12.
Teleman, Johan, Sofia Waldemarson, Johan Malmström, & Fredrik Levander. (2013). Automated quality control system for LC-SRM setups. Journal of Proteomics. 95. 77–83. 5 indexed citations
13.
Olsson, Niclas, Peter James, Karin Hansson, et al.. (2013). Grading Breast Cancer Tissues Using Molecular Portraits. Molecular & Cellular Proteomics. 12(12). 3612–3623. 29 indexed citations
14.
Nordenfelt, Pontus, Sofia Waldemarson, Adam Linder, et al.. (2012). Antibody orientation at bacterial surfaces is related to invasive infection. The Journal of Experimental Medicine. 209(13). 2367–2381. 83 indexed citations
15.
Waldemarson, Sofia, Morten Krogh, Ayodele Alaiya, et al.. (2012). Protein Expression Changes in Ovarian Cancer during the Transition from Benign to Malignant. Journal of Proteome Research. 11(5). 2876–2889. 38 indexed citations
16.
Teleman, Johan, Christofer Karlsson, Sofia Waldemarson, et al.. (2012). Automated Selected Reaction Monitoring Software for Accurate Label-Free Protein Quantification. Journal of Proteome Research. 11(7). 3766–3773. 26 indexed citations
17.
Zhang, Guoan, Beatrix Ueberheide, Sofia Waldemarson, et al.. (2010). Protein Quantitation Using Mass Spectrometry. Methods in molecular biology. 673. 211–222. 49 indexed citations
18.
Scholz, Birger, Karl Sköld, Kim Kultima, et al.. (2010). Impact of Temperature Dependent Sampling Procedures in Proteomics and Peptidomics – A Characterization of the Liver and Pancreas Post Mortem Degradome. Molecular & Cellular Proteomics. 10(3). M900229–MCP200. 34 indexed citations
19.
Krogh, Morten, Yingchun Liu, Sofia Waldemarson, Barbara Valastro, & Peter James. (2007). Analysis of DIGE data using a linear mixed model allowing for protein‐specific dye effects. PROTEOMICS. 7(23). 4235–4244. 13 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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