Götz Schlotterbeck

4.1k citations
54 papers · 3.1k indexed · 1 hit paper · h-index 25

Götz Schlotterbeck

53 papers receiving 3.1k citations

Hit Papers

Probabilistic Quotient Normalization as Robust Method to ...1.4k20062026201220194008001.2k

Peers

Götz Schlotterbeck
Comparison fields: 5 of 162
  • Spectroscopy 663
  • Molecular Biology 1.8k
  • Analytical Chemistry 247
  • Complementary and alternative medicine 155
  • Toxicology 62
Replace Hans Senn with:
Hans Senn Switzerland
R. Duncan Farrant United Kingdom
Reino Laatikainen Finland
Jeremy R. Everett United Kingdom
Ian D. Wilson United Kingdom
Eva M. Lenz United Kingdom
Brian C. Sweatman United Kingdom
Ulrich L. Günther United Kingdom
G. A. Nagana Gowda United States
John C. Connelly United Kingdom
Götz Schlotterbeck relative to Hans Senn Switzerland Hans Senn's profile →
Citations per field
00.5×1.5×
Hans Senn · 1×
Citations per year

Countries citing papers authored by Götz Schlotterbeck

Since Specialization
Citations

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

Fields of papers citing papers by Götz Schlotterbeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Götz Schlotterbeck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Götz Schlotterbeck Line = papers co-authored together Götz Schlotterbeck links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20248
3 20244
4 20232
5 20221
6 20228
7 202118
8 20211
9 201717
10 20174
11 20179
12 201764
13 201722
14 201410
15 201213
16 2011108
17 201098
18 200713
19 2001259
20 200121

About Götz Schlotterbeck

Götz Schlotterbeck is a scholar working on Spectroscopy, Toxicology and Analytical Chemistry, having authored 54 papers that have together received 3.1k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (17 papers), Analytical Chemistry and Chromatography (17 papers), Mass Spectrometry Techniques and Applications (6 papers), Advanced Chemical Sensor Technologies (5 papers), NMR spectroscopy and applications (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Forensic Toxicology and Drug Analysis (4 papers) and Chromatography in Natural Products (3 papers). The work is most often cited by research in Spectroscopy (663 citations), Molecular Biology (1.8k citations) and Analytical Chemistry (247 citations). Götz Schlotterbeck has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Hans Senn, Alfred Ross, Frank Dieterle, Klaus Albert, C. Zimmermann, József Fortágh, Herwig Ott, Alexander Grossmann, Li‐Hong Tseng and Ulrich Braumann. Their work appears in journals such as Physical Review Letters, Angewandte Chemie International Edition and Applied Physics Letters.

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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