Stefan Reckow

864 total citations
18 papers, 688 citations indexed

About

Stefan Reckow is a scholar working on Molecular Biology, Spectroscopy and Biological Psychiatry. According to data from OpenAlex, Stefan Reckow has authored 18 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Spectroscopy and 7 papers in Biological Psychiatry. Recurrent topics in Stefan Reckow's work include Metabolomics and Mass Spectrometry Studies (13 papers), Advanced Proteomics Techniques and Applications (8 papers) and Tryptophan and brain disorders (7 papers). Stefan Reckow is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (13 papers), Advanced Proteomics Techniques and Applications (8 papers) and Tryptophan and brain disorders (7 papers). Stefan Reckow collaborates with scholars based in Germany, United States and Greece. Stefan Reckow's co-authors include Christoph W. Turck, Giuseppina Maccarrone, Philipp Gormanns, Michaela D. Filiou, Yaoyang Zhang, Rainer Landgraf, Elisabeth Frank, Melanie Keßler, Boris Hambsch and Larysa Teplytska and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Biological Psychiatry.

In The Last Decade

Stefan Reckow

18 papers receiving 675 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Reckow Germany 12 357 221 183 111 90 18 688
Philipp Gormanns Germany 11 328 0.9× 249 1.1× 120 0.7× 101 0.9× 97 1.1× 13 646
Boris Hambsch Germany 11 384 1.1× 150 0.7× 66 0.4× 125 1.1× 91 1.0× 15 728
Stephen J. Huffaker United States 7 764 2.1× 430 1.9× 94 0.5× 296 2.7× 108 1.2× 11 1.4k
Pandichelvam Veeraiah Netherlands 10 101 0.3× 73 0.3× 26 0.1× 96 0.9× 62 0.7× 21 453
Sarah M. Neuner United States 13 275 0.8× 59 0.3× 50 0.3× 152 1.4× 14 0.2× 21 721
Kiran Sapkota United States 12 217 0.6× 90 0.4× 19 0.1× 285 2.6× 27 0.3× 20 489
Sarah Sonnay Switzerland 13 318 0.9× 35 0.2× 37 0.2× 162 1.5× 16 0.2× 16 704
T Nishikawa Japan 9 409 1.1× 79 0.4× 73 0.4× 341 3.1× 48 0.5× 22 822
Guoxin Feng China 13 450 1.3× 109 0.5× 12 0.1× 75 0.7× 22 0.2× 15 712
Monika Schäfer Germany 10 282 0.8× 26 0.1× 44 0.2× 324 2.9× 148 1.6× 11 906

Countries citing papers authored by Stefan Reckow

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Reckow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Reckow

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

All Works

18 of 18 papers shown
1.
Turck, Christoph W., Christian Webhofer, Stefan Reckow, et al.. (2022). Antidepressant treatment effects on hippocampal protein turnover: Molecular and spatial insights from mass spectrometry. PROTEOMICS. 22(11-12). e2100244–e2100244. 5 indexed citations
2.
Turck, Christoph W., Christian Webhofer, Stefan Reckow, et al.. (2022). Antidepressant treatment effects on hippocampal protein turnover: molecular and spatial insights from mass spectrometry. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
3.
Reckow, Stefan & Christian Webhofer. (2014). Analysis of Individual Protein Turnover in Live Animals on a Proteome-Wide Scale. Methods in molecular biology. 1156. 147–154. 3 indexed citations
4.
Webhofer, Christian, Philipp Gormanns, Stefan Reckow, et al.. (2012). Proteomic and metabolomic profiling reveals time-dependent changes in hippocampal metabolism upon paroxetine treatment and biomarker candidates. Journal of Psychiatric Research. 47(3). 289–298. 38 indexed citations
5.
Webhofer, Christian, Yaoyang Zhang, Stefan Reckow, et al.. (2012). 15N metabolic labeling: Evidence for a stable isotope effect on plasma protein levels and peptide chromatographic retention times. Journal of Proteomics. 88. 27–33. 9 indexed citations
6.
Gormanns, Philipp, et al.. (2012). Segmentation of Multi-Isotope Imaging Mass Spectrometry Data for Semi-Automatic Detection of Regions of Interest. PLoS ONE. 7(2). e30576–e30576. 35 indexed citations
7.
Filiou, Michaela D., Christian Webhofer, Philipp Gormanns, et al.. (2012). The 15N isotope effect as a means for correlating phenotypic alterations and affected pathways in a trait anxiety mouse model. PROTEOMICS. 12(15-16). 2421–2427. 10 indexed citations
8.
Filiou, Michaela D., et al.. (2012). The 15 N isotope effect in Escherichia coli : A neutron can make the difference. PROTEOMICS. 12(21). 3121–3128. 22 indexed citations
9.
Zhang, Yaoyang, Michaela D. Filiou, Stefan Reckow, et al.. (2011). Proteomic and Metabolomic Profiling of a Trait Anxiety Mouse Model Implicate Affected Pathways. Molecular & Cellular Proteomics. 10(12). M111.008110–M111.008110. 72 indexed citations
10.
Filiou, Michaela D., Yaoyang Zhang, Larysa Teplytska, et al.. (2011). Proteomics and Metabolomics Analysis of a Trait Anxiety Mouse Model Reveals Divergent Mitochondrial Pathways. Biological Psychiatry. 70(11). 1074–1082. 124 indexed citations
11.
Zhang, Yaoyang, Stefan Reckow, Christian Webhofer, et al.. (2011). Proteome Scale Turnover Analysis in Live Animals Using Stable Isotope Metabolic Labeling. Analytical Chemistry. 83(5). 1665–1672. 45 indexed citations
12.
Filiou, Michaela D., Birgit Bisle, Stefan Reckow, et al.. (2010). Profiling of mouse synaptosome proteome and phosphoproteome by IEF. Electrophoresis. 31(8). 1294–1301. 46 indexed citations
13.
Martins‐de‐Souza, Daniel, Giuseppina Maccarrone, Thomas Wobrock, et al.. (2010). Proteome analysis of the thalamus and cerebrospinal fluid reveals glycolysis dysfunction and potential biomarkers candidates for schizophrenia. Journal of Psychiatric Research. 44(16). 1176–1189. 139 indexed citations
14.
Filiou, Michaela D., Yaoyang Zhang, Larysa Teplytska, et al.. (2010). Biomarker discovery by stable isotope labeling and quantitative proteomics. The FASEB Journal. 24(S1). 1 indexed citations
15.
Zhang, Yaoyang, Christian Webhofer, Stefan Reckow, et al.. (2009). A MS data search method for improved 15N‐labeled protein identification. PROTEOMICS. 9(17). 4265–4270. 19 indexed citations
16.
Frank, Elisabeth, Melanie Keßler, Michaela D. Filiou, et al.. (2009). Stable Isotope Metabolic Labeling with a Novel 15N-Enriched Bacteria Diet for Improved Proteomic Analyses of Mouse Models for Psychopathologies. PLoS ONE. 4(11). e7821–e7821. 88 indexed citations
17.
Martins‐de‐Souza, Daniel, Giuseppina Maccarrone, Stefan Reckow, et al.. (2009). Shotgun mass spectrometry analysis of the human thalamus proteome. Journal of Separation Science. 32(8). 1231–1236. 20 indexed citations
18.
Reckow, Stefan, et al.. (2008). Psychiatric Disorders Biomarker Identification: from Proteomics to Systems Biology. Pharmacopsychiatry. 41(S 01). S70–S77. 11 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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