Michael Schulz

984 citations
36 papers · 835 · h-index 18

Impact in

Papers in

    • Analytical Chemistry and Chromatography 10
    • Mass Spectrometry Techniques and Applications 8
    • Advanced Proteomics Techniques and Applications 4
    • Alzheimer's disease research and treatments 3
    • Biochemical effects in animals 3

Michael Schulz

36 papers receiving 786 citations

Peers

Michael Schulz
Comparison fields: 5 of 98
  • Spectroscopy 328
  • Analytical Chemistry 99
  • Behavioral Neuroscience 33
  • Physiology 209
  • Cellular and Molecular Neuroscience 87
Replace Fumio Iinuma with:
Fumio Iinuma Japan
Jürgen Lasch Germany
Ornella Curcuruto Italy
J. Veals United States
Jonathan G. Shackman United States
André Liesener Netherlands
Simone Braggio Italy
Nguyet Thuy Tran France
Andrea Latrofa Italy
Dan Xu China
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Citations per field
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Citations per year

Countries citing papers authored by Michael Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Schulz, 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 Michael Schulz Line = papers co-authored together Michael Schulz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201788
2 199470
3 200257
4 200155
5 199054
6 200853
7 200846
8 198440
9 200739
10 201834
11 201032
12 200332
13 201425
14 201923
15 198722
16 201019
17 197918
18 200718
19 198915
20 201413

About Michael Schulz

Michael Schulz is a scholar working on Spectroscopy, Physiology, Behavioral Neuroscience, Cell Biology and Analytical Chemistry, having authored 36 papers that have together received 835 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (10 papers), Mass Spectrometry Techniques and Applications (8 papers), Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Free Radicals and Antioxidants (3 papers), Chromatography in Natural Products (3 papers), Alzheimer's disease research and treatments (3 papers) and Biochemical effects in animals (3 papers). The work is most often cited by research in Spectroscopy (328 citations), Analytical Chemistry (99 citations), Behavioral Neuroscience (33 citations), Physiology (209 citations) and Cellular and Molecular Neuroscience (87 citations). Michael Schulz has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Karl Bauer, Heinz E. Hauck, Gary J. Van Berkel, Sofie P. Pasilis, Vilmos Kertész, Walter Fischer, Bernhard Horsthemke, Myriam I Baes, Carl Denef and Peter Carmeliet. Their work appears in journals such as Journal of Chromatography A, Rapid Communications in Mass Spectrometry, Chromatographia, Journal of Neurochemistry and Bioanalysis.

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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