Stephan Grein

417 citations
14 papers · 251 · h-index 8

Impact in

Papers in

    • Gene Regulatory Network Analysis 4
    • Microbial Metabolic Engineering and Bioproduction 2
    • Protein Structure and Dynamics 2
    • Single-cell and spatial transcriptomics 1
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Neural dynamics and brain function 4

Stephan Grein

12 papers receiving 250 citations

Peers

Stephan Grein
Comparison fields: 5 of 70
  • Nephrology 25
  • Hematology 37
  • Immunology 64
  • Biophysics 16
  • Cancer Research 36
Replace Christopher Hoover with:
Christopher Hoover United States
Angela Armento Germany
Carla Rossana Scalia Italy
Yusuke Minato Japan
Clément Molina France
Jiaxin Wu China
Hengrui Sun United States
Ellen L. van Agtmaal Netherlands
Ziyang Ye United States
Fa‐Min Zeng China
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Citations per field
00.5×
Christopher Hoover · 1×
Citations per year

Countries citing papers authored by Stephan Grein

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Grein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201678
2 201770
3 202023
4 202321
5 202119
6 201211
7 20169
8 20147
9 20236
10 20205
11 20231
12 20201
13 20250
14 20240

About Stephan Grein

Stephan Grein is a scholar working on Molecular Biology, Cognitive Neuroscience, Biophysics, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 251 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (4 papers), Neural dynamics and brain function (4 papers), Cell Image Analysis Techniques (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Protein Structure and Dynamics (2 papers), Immune cells in cancer (2 papers), Single-cell and spatial transcriptomics (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Nephrology (25 citations), Hematology (37 citations), Immunology (64 citations), Biophysics (16 citations) and Cancer Research (36 citations). Stephan Grein has collaborated with scholars based in Germany, United States and Costa Rica. Frequent co-authors include Bernhard Brüne, Christina Mertens, Michaela Jung, Andreas Weigert, Tobias Schmid, Javier Mora, Gillian Queisser, Marc Guiu, Jelena Urosevic and Roger R. Gomis. Their work appears in journals such as Bioinformatics, Journal of Pharmaceutical Sciences, Frontiers in Neuroinformatics, PLoS Computational Biology and OncoImmunology.

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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