Stephan Schröder

2.7k citations
76 papers · 2.2k · h-index 24

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 5%
    • Lysosomal Storage Disorders Research

Papers in

Stephan Schröder

72 papers receiving 2.1k citations

Peers

Stephan Schröder
Comparison fields: 5 of 137
  • Cell Biology 778
  • Physiology 54
  • Molecular Biology 798
  • Tourism, Leisure and Hospitality Management 19
  • Plant Science 388
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Charles Keith United States
Eiji Kinoshita Japan
Chang Sup Kim South Korea
Daisuke Maeda Japan
Wenxiang Cao United States
Akira Yamashita Japan
Yoichiroh Hosokawa Japan
Erwin Berthier United States
Andres Kaech Switzerland
Tomoko Miyata Japan
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Citations per field
00.5×11.7×
Charles Keith · 1×
Citations per year

Countries citing papers authored by Stephan Schröder

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Schröder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995302
2 1995161
3 1997154
4 2016127
5 2005125
6 1993112
7 201998
8 201780
9 202064
10 199163
11 201660
12 201055
13 201952
14 201452
15 201852
16 195651
17 200448
18 201336
19 201736
20 201030

About Stephan Schröder

Stephan Schröder is a scholar working on Electrical and Electronic Engineering, Plant Science, Molecular Biology, Cell Biology and Biomedical Engineering, having authored 76 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Plant pathogens and resistance mechanisms (8 papers), Gas Sensing Nanomaterials and Sensors (7 papers), Erythrocyte Function and Pathophysiology (6 papers), Graphene research and applications (6 papers), Mechanical and Optical Resonators (6 papers), Advanced MEMS and NEMS Technologies (5 papers) and Spectroscopy and Laser Applications (5 papers). The work is most often cited by research in Cell Biology (778 citations), Physiology (54 citations), Molecular Biology (798 citations), Tourism, Leisure and Hospitality Management (19 citations) and Plant Science (388 citations). Stephan Schröder has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Howard Riezman, Frauke Schimmöller, Birgit Singer‐Krüger, Frank Niklaus, Ernst Ungewickell, Ute Krüger, Charles Barlowe, Andreas Fischer, Mikael Östling and Anderson D. Smith. Their work appears in journals such as European Journal of Biochemistry, Journal of Micromechanics and Microengineering, Genetic Resources and Crop Evolution, Microsystems & Nanoengineering and Frontiers in Plant Science.

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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