Max Schelker
Impact in
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- Cancer Genomics and Diagnostics
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- Gene Regulatory Network Analysis
- Single-cell and spatial transcriptomics
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
Papers in
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- Gene Regulatory Network Analysis 3
- Bioinformatics and Genomic Networks 2
- Single-cell and spatial transcriptomics 1
- Lipid Membrane Structure and Behavior 1
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- interferon and immune responses 1
- Co-authors
- Edda Klipp (4 shared papers)Andreas Raue (5 shared papers)Sonia Feau (1 shared paper)Jinyan Du (1 shared paper)Gavin MacBeath (1 shared paper)Birgit Schoeberl (1 shared paper)Jens Timmer (4 shared papers)Clemens Kreutz (4 shared papers)
- Journals
- PLoS Computational Biology (2 papers)Bioinformatics (2 papers)FEBS Journal (1 paper)PLoS ONE (1 paper)Nature Communications (1 paper)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Max Schelker
7 papers receiving 444 citations
Peers
Comparison fields: 5 of 91
- Cancer Research 70
- Molecular Biology 318
- Biophysics 24
- Modeling and Simulation 19
- Immunology 73
Countries citing papers authored by Max Schelker
This map shows the geographic impact of Max Schelker'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 Max Schelker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Schelker more than expected).
Fields of papers citing papers by Max Schelker
This network shows the impact of papers produced by Max Schelker. 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 Max Schelker. The network helps show where Max Schelker may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Schelker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 173 | |
| 2 | 2015 | 153 | |
| 3 | 2013 | 35 | |
| 4 | 2016 | 30 | |
| 5 | 2013 | 22 | |
| 6 | 2016 | 20 | |
| 7 | 2012 | 17 |
About Max Schelker
Max Schelker is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Artificial Intelligence, having authored 7 papers that have together received 450 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (3 papers), Bioinformatics and Genomic Networks (2 papers), interferon and immune responses (1 paper), Single-cell and spatial transcriptomics (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Cancer Genomics and Diagnostics (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Cancer Research (70 citations), Molecular Biology (318 citations), Biophysics (24 citations), Modeling and Simulation (19 citations) and Immunology (73 citations). Max Schelker has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Edda Klipp, Andreas Raue, Sonia Feau, Jinyan Du, Gavin MacBeath, Birgit Schoeberl, Jens Timmer, Clemens Kreutz, Marcel Schilling and Helge Hass. Their work appears in journals such as PLoS Computational Biology, Bioinformatics, FEBS Journal, PLoS ONE and Nature Communications.
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.