Michael Stephan

3.8k citations
102 papers · 2.4k indexed · 1 hit paper · h-index 27

Michael Stephan

96 papers receiving 2.3k citations

Hit Papers

Cut to the chase: a review of CD26/dipeptidyl peptidase-4...3332016202620192022100200300

Peers

Michael Stephan
Comparison fields: 5 of 184
  • Behavioral Neuroscience 151
  • Cellular and Molecular Neuroscience 603
  • Biological Psychiatry 75
  • Developmental Neuroscience 88
  • Oncology 500
Replace Min Chen with:
Min Chen China
Suzanne D. Conzen United States
Michael P. Smith United States
Guangyu Wu United States
Christopher M. Tan United States
Andreas Teufel Germany
Wenting Wang China
Susan E. Hodge United States
Michael Chen United States
Michael Stephan relative to Min Chen China Min Chen's profile →
Citations per field
00.5×1.5×2.0×
Min Chen · 1×
Citations per year

Countries citing papers authored by Michael Stephan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Stephan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202210
3 202114
4 20197
5 20141
6
Supercomputing at Scale - Architectural Evolution at Jülich Supercomputing Centre
20121
7 20101
8 20105
9 201027
10 200936
11 20096
12 200893
13 200832
14 20030
15 200238
16
Detecting the Pitfalls of Data on Foreign Direct Investment: Scope and Limits of FDI Data
200113
17 200023
18 199565
19 199331
20 199256

About Michael Stephan

Michael Stephan is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Strategy and Management, having authored 102 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (15 papers), Peptidase Inhibition and Analysis (15 papers), Innovation and Knowledge Management (9 papers), Neonatal Respiratory Health Research (7 papers), Asthma and respiratory diseases (7 papers), Stress Responses and Cortisol (6 papers), Business Strategy and Innovation (6 papers) and Genetic Neurodegenerative Diseases (5 papers). The work is most often cited by research in Behavioral Neuroscience (151 citations), Cellular and Molecular Neuroscience (603 citations) and Biological Psychiatry (75 citations). Michael Stephan has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Stephan von Hörsten, Christian Klemann, Leona Wagner, Reinhard Pabst, Heinz Stephan, Wolf D. Lehmann, Heiko D. Frahm, Gerhard Fürstenberger, Andreas Schmiedl and Rainer H. Straub. Their work appears in journals such as Clinical & Experimental Immunology, Behavioural Brain Research, International Journal of Automotive Technology and Management, The Journal of Immunology and Immunobiology.

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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