Sören‐Oliver Deininger

2.1k total citations
35 papers, 1.7k citations indexed

About

Sören‐Oliver Deininger is a scholar working on Spectroscopy, Molecular Biology and Surgery. According to data from OpenAlex, Sören‐Oliver Deininger has authored 35 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Spectroscopy, 22 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Sören‐Oliver Deininger's work include Mass Spectrometry Techniques and Applications (23 papers), Advanced Proteomics Techniques and Applications (13 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Sören‐Oliver Deininger is often cited by papers focused on Mass Spectrometry Techniques and Applications (23 papers), Advanced Proteomics Techniques and Applications (13 papers) and Metabolomics and Mass Spectrometry Studies (9 papers). Sören‐Oliver Deininger collaborates with scholars based in Germany, United States and Switzerland. Sören‐Oliver Deininger's co-authors include Michael Becker, Detlev Suckau, Axel Walch, Matthias Ebert, Sandra Rauser, Christoph Röcken, Charles Pineau, Marianne Wiechers, Rainer Paape and Helmut Plattner and has published in prestigious journals such as Analytical Chemistry, Nature Methods and Molecular Biology of the Cell.

In The Last Decade

Sören‐Oliver Deininger

35 papers receiving 1.7k citations

Peers

Sören‐Oliver Deininger
Peggi M. Angel United States
Vlad Zabrouskov United States
Sarah A. Schwartz United States
Benjamin Balluff Netherlands
M. Reid Groseclose United States
Scot R. Weinberger United States
Emmanuelle Claude United Kingdom
Peggi M. Angel United States
Sören‐Oliver Deininger
Citations per year, relative to Sören‐Oliver Deininger Sören‐Oliver Deininger (= 1×) peers Peggi M. Angel

Countries citing papers authored by Sören‐Oliver Deininger

Since Specialization
Citations

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

Fields of papers citing papers by Sören‐Oliver Deininger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sören‐Oliver Deininger. 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 Sören‐Oliver Deininger. The network helps show where Sören‐Oliver Deininger may publish in the future.

Co-authorship network of co-authors of Sören‐Oliver Deininger

This figure shows the co-authorship network connecting the top 25 collaborators of Sören‐Oliver Deininger. A scholar is included among the top collaborators of Sören‐Oliver Deininger 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 Sören‐Oliver Deininger. Sören‐Oliver Deininger 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.
Lehner, Markus, et al.. (2020). On-site CAD templates reduce surgery time for complex craniostenosis repair in infants: a new method. Child s Nervous System. 36(4). 793–801. 12 indexed citations
2.
Kriegsmann, Mark, Rita Casadonte, Robert Stoehr, et al.. (2020). Mass Spectrometry Imaging Differentiates Chromophobe Renal Cell Carcinoma and Renal Oncocytoma with High Accuracy. Journal of Cancer. 11(20). 6081–6089. 8 indexed citations
3.
Kriegsmann, Jörg, Mark Kriegsmann, Katharina Kriegsmann, et al.. (2018). MALDI Imaging for Proteomic Painting of Heterogeneous Tissue Structures. PROTEOMICS - CLINICAL APPLICATIONS. 13(1). e1800045–e1800045. 13 indexed citations
4.
Maccarrone, Giuseppina, Sandra Nischwitz, Sören‐Oliver Deininger, et al.. (2016). MALDI imaging mass spectrometry analysis—A new approach for protein mapping in multiple sclerosis brain lesions. Journal of Chromatography B. 1047. 131–140. 29 indexed citations
6.
Casadonte, Rita, Mark Kriegsmann, Sören‐Oliver Deininger, et al.. (2015). Imaging mass spectrometry analysis of renal amyloidosis biopsies reveals protein co-localization with amyloid deposits. Analytical and Bioanalytical Chemistry. 407(18). 5323–5331. 31 indexed citations
7.
Casadonte, Rita, M. Otto, Mark Kriegsmann, et al.. (2014). MALDI-Massenspektrometrie am Meniskus. Zeitschrift für Rheumatologie. 74(5). 438–446. 4 indexed citations
8.
Casadonte, Rita, Mark Kriegsmann, Katrin Friedrich, et al.. (2014). Imaging mass spectrometry to discriminate breast from pancreatic cancer metastasis in formalin‐fixed paraffin‐embedded tissues. PROTEOMICS. 14(7-8). 956–964. 63 indexed citations
9.
Kriegsmann, Joerg, et al.. (2013). MALDI-TOF-Bildgebung. Zeitschrift für Rheumatologie. 72(7). 724–728. 3 indexed citations
10.
Jones, Emrys A., Sören‐Oliver Deininger, Pancras C.W. Hogendoorn, André M. Deelder, & Liam A. McDonnell. (2012). Imaging mass spectrometry statistical analysis. Journal of Proteomics. 75(16). 4962–4989. 112 indexed citations
11.
Deininger, Sören‐Oliver, Dale S. Cornett, Rainer Paape, et al.. (2011). Normalization in MALDI-TOF imaging datasets of proteins: practical considerations. Analytical and Bioanalytical Chemistry. 401(1). 167–181. 192 indexed citations
12.
Deininger, Sören‐Oliver, Michael Becker, & Detlev Suckau. (2010). Tutorial: Multivariate Statistical Treatment of Imaging Data for Clinical Biomarker Discovery. Methods in molecular biology. 656. 385–403. 31 indexed citations
13.
Lagarrigue, Mélanie, Michael Becker, Rob Lavigne, et al.. (2010). Revisiting Rat Spermatogenesis with MALDI Imaging at 20-μm Resolution. Molecular & Cellular Proteomics. 10(3). M110.005991–M110.005991. 71 indexed citations
14.
Rauser, Sandra, Sören‐Oliver Deininger, Detlev Suckau, Heinz Höfler, & Axel Walch. (2010). Approaching MALDI molecular imaging for clinical proteomic research: current state and fields of application. Expert Review of Proteomics. 7(6). 927–941. 44 indexed citations
15.
Deininger, Sören‐Oliver, et al.. (2007). P98-M Class Imaging—Multivariate Statistical Classification of MALDI Tissue Imaging Data. Journal of Biomolecular Techniques JBT. 18(1). 34–34. 1 indexed citations
16.
Schuerenberg, Martin, et al.. (2007). P110-M A New Preparation Technique for MALDI Tissue Imaging.. Journal of Biomolecular Techniques JBT. 18(1). 38–38. 1 indexed citations
17.
Stodůlková, Eva, Petr Novák, Sören‐Oliver Deininger, et al.. (2007). LC MALDI-TOF MS/MS and LC ESI FTMS analyses of HLA-B27 associated peptides isolated from peripheral blood cells. Immunology Letters. 116(1). 79–85. 5 indexed citations
18.
Deininger, Sören‐Oliver, et al.. (2007). Statistical Classification and Visualization of MALDI-Imaging Data. 403–405. 9 indexed citations
19.
Macht, Marcus, Andreas Marquardt, Sören‐Oliver Deininger, et al.. (2003). "Affinity-proteomics": direct protein identification from biological material using mass spectrometric epitope mapping. Analytical and Bioanalytical Chemistry. 378(4). 1102–1111. 27 indexed citations
20.
Stuermer, Claudia A. O., Dirk Lang, Friederike Kirsch, et al.. (2001). Glycosylphosphatidyl Inositol-anchored Proteins and fyn Kinase Assemble in Noncaveolar Plasma Membrane Microdomains Defined by Reggie-1 and -2. Molecular Biology of the Cell. 12(10). 3031–3045. 191 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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