Stefan Wittke

3.2k total citations
34 papers, 2.6k citations indexed

About

Stefan Wittke is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Stefan Wittke has authored 34 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Spectroscopy, 15 papers in Molecular Biology and 8 papers in Biomedical Engineering. Recurrent topics in Stefan Wittke's work include Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (12 papers) and Bladder and Urothelial Cancer Treatments (4 papers). Stefan Wittke is often cited by papers focused on Advanced Proteomics Techniques and Applications (15 papers), Mass Spectrometry Techniques and Applications (12 papers) and Bladder and Urothelial Cancer Treatments (4 papers). Stefan Wittke collaborates with scholars based in Germany, United States and United Kingdom. Stefan Wittke's co-authors include Harald Mischak, Michael Walden, Danilo Fliser, Thorsten Kaiser, Ingo Just, Marion Haubitz, Hermann Haller, Ronald Krebs, Eva M. Weissinger and Mark M. Ross and has published in prestigious journals such as Nature Medicine, PLoS ONE and Analytical Chemistry.

In The Last Decade

Stefan Wittke

33 papers receiving 2.5k citations

Peers

Stefan Wittke

SPECT

NEPHR

SURGE

Michael Walden Germany

Eric Schiffer Germany

Justyna Siwy Germany

Petra Zürbig Germany

María G. Barderas Spain

Agnieszka Latosińska Germany

Harald Tammen Germany

Monique G.M. de Sain–van der Velden Netherlands

Denis Sviridov United States

Maren Mieth Germany

Michael Walden Germany

Stefan Wittke

984 ×0.7

SPECT

938 ×0.9

402 ×0.8

NEPHR

226 ×0.5

195 ×0.9

SURGE

Citations per year, relative to Stefan Wittke Stefan Wittke (= 1×) peers Michael Walden

Countries citing papers authored by Stefan Wittke

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Wittke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Wittke

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

All Works

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20 of 20 papers shown

Kröncke, Nina, et al.. (2023). Analysis of the Composition of Different Instars of Tenebrio molitor Larvae using Near-Infrared Reflectance Spectroscopy for Prediction of Amino and Fatty Acid Content. Insects. 14(4). 310–310. 16 indexed citations

Uhlig, Steffen, et al.. (2019). Valid machine learning algorithms for multiparameter methods. Accreditation and Quality Assurance. 24(4). 271–279. 6 indexed citations

Wittke, Stefan, et al.. (2016). Tumor heterogeneity as a rationale for a multi-epitope approach in an autologous renal cell cancer tumor vaccine. OncoTargets and Therapy. 9. 523–523. 11 indexed citations

Jahn, Holger, Stefan Wittke, Petra Zürbig, et al.. (2011). Peptide Fingerprinting of Alzheimer's Disease in Cerebrospinal Fluid: Identification and Prospective Evaluation of New Synaptic Biomarkers. PLoS ONE. 6(10). e26540–e26540. 95 indexed citations

May, Matthias, Sabine Brookman‐May, B. Hoschke, et al.. (2009). Ten-year survival analysis for renal carcinoma patients treated with an autologous tumour lysate vaccine in an adjuvant setting. Cancer Immunology Immunotherapy. 59(5). 687–695. 34 indexed citations

Decramer, Stéphane, et al.. (2008). Identification of Urinary Biomarkers by Proteomics in Newborns: Use in Obstructive Nephropathy. Contributions to nephrology. 160. 127–141. 32 indexed citations

Julian, Bruce A., Stefan Wittke, Jan Novák, et al.. (2007). Electrophoretic methods for analysis of urinary polypeptides in IgA‐associated renal diseases. Electrophoresis. 28(23). 4469–4483. 64 indexed citations

Wittke, Stefan, Eric Schiffer, & H Bauer. (2007). Kapillarelektrophorese gekoppelte Massenspektrometrie zur Proteomanalyse. Der Urologe. 46(7). 733–739. 11 indexed citations

Raedler, Thomas J., et al.. (2007). Capillary electrophoresis mass spectrometry as a potential tool to detect lithium-induced nephropathy: Preliminary results. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 32(3). 673–678. 2 indexed citations

10.

Decramer, Stéphane, Stefan Wittke, Harald Mischak, et al.. (2006). Predicting the clinical outcome of congenital unilateral ureteropelvic junction obstruction in newborn by urinary proteome analysis. Nature Medicine. 12(4). 398–400. 190 indexed citations

11.

Theodorescu, Dan, Stefan Wittke, Mark M. Ross, et al.. (2006). Discovery and validation of new protein biomarkers for urothelial cancer: a prospective analysis. The Lancet Oncology. 7(3). 230–240. 342 indexed citations

12.

Zürbig, Petra, Matthew B. Renfrow, Eric Schiffer, et al.. (2006). Biomarker discovery by CE‐MS enables sequence analysis via MS/MS with platform‐independent separation. Electrophoresis. 27(11). 2111–2125. 163 indexed citations

13.

Haubitz, Marion, Stefan Wittke, Eva M. Weissinger, et al.. (2005). Urine protein patterns can serve as diagnostic tools in patients with IgA nephropathy. Kidney International. 67(6). 2313–2320. 186 indexed citations

14.

Wittke, Stefan, Marion Haubitz, Michael Walden, et al.. (2005). Detection of Acute Tubulointerstitial Rejection by Proteomic Analysis of Urinary Samples in Renal Transplant Recipients. American Journal of Transplantation. 5(10). 2479–2488. 114 indexed citations

15.

Fliser, Danilo, Stefan Wittke, & Harald Mischak. (2005). Capillary electrophoresis coupled to mass spectrometry for clinical diagnostic purposes. Electrophoresis. 26(14). 2708–2716. 78 indexed citations

16.

Chalmers, Michael J., C. Logan Mackay, Christopher L. Hendrickson, et al.. (2005). Combined Top-Down and Bottom-Up Mass Spectrometric Approach to Characterization of Biomarkers for Renal Disease. Analytical Chemistry. 77(22). 7163–7171. 72 indexed citations

17.

Theodorescu, Dan, Danilo Fliser, Stefan Wittke, et al.. (2005). Pilot study of capillary electrophoresis coupled to mass spectrometry as a tool to define potential prostate cancer biomarkers in urine. Electrophoresis. 26(14). 2797–2808. 129 indexed citations

18.

Weissinger, Eva M., Stefan Wittke, Thorsten Kaiser, et al.. (2004). Proteomic patterns established with capillary electrophoresis and mass spectrometry for diagnostic purposes. Kidney International. 65(6). 2426–2434. 177 indexed citations

19.

Neuhoff, Nils von, Thorsten Kaiser, Stefan Wittke, et al.. (2003). Mass spectrometry for the detection of differentially expressed proteins: a comparison of surface‐enhanced laser desorption/ionization and capillary electrophoresis/mass spectrometry. Rapid Communications in Mass Spectrometry. 18(2). 149–156. 163 indexed citations

20.

Wittke, Stefan, Thorsten Kaiser, & Harald Mischak. (2003). Differential polypeptide display: the search for the elusive target. Journal of Chromatography B. 803(1). 17–26. 31 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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