Thomas Moerman
- Immunology top 2%
- Cancer Research top 5%
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 2
- Gene Regulatory Network Analysis 2
- Gene expression and cancer classification 1
- Metabolomics and Mass Spectrometry Studies 1
- Biophysics top 2%
- Cell Image Analysis Techniques 1
- Neurology top 5%
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- Isotope Analysis in Ecology 1
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- Advanced Chemical Sensor Technologies 1
Thomas Moerman
3 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Immunology 1.1k
- Cancer Research 569
- Molecular Biology 2.4k
- Biophysics 145
- Neurology 195
Countries citing papers authored by Thomas Moerman
This map shows the geographic impact of Thomas Moerman'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 Thomas Moerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Moerman more than expected).
Fields of papers citing papers by Thomas Moerman
This network shows the impact of papers produced by Thomas Moerman. 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 Thomas Moerman. The network helps show where Thomas Moerman may publish in the future.
Co-authorship network
The 21 scholars most cited alongside Thomas Moerman, 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 | 2021 | 25 | |
| 2 | 2018 | 292 | |
| 3 | SCENIC: single-cell regulatory network inference and clusteringbreakdown → | 2017 | 3087 |
About Thomas Moerman
Thomas Moerman is a scholar working on Biophysics, Molecular Biology and Ecology, having authored 3 papers that have together received 3.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Gene Regulatory Network Analysis (2 papers), Gene expression and cancer classification (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Isotope Analysis in Ecology (1 paper), Advanced Chemical Sensor Technologies (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Immunology (1.1k citations), Cancer Research (569 citations) and Molecular Biology (2.4k citations). Thomas Moerman has collaborated with scholars based in Belgium and United States. Frequent co-authors include Carmen Bravo González‐Blas, Sara Aibar, Jan Aerts, Stein Aerts, Florian Rambow, Gert Hulselmans, Vân Anh Huynh‐Thu, Hana Imrichová, Jasper Wouters and Pierre Geurts. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Nature Methods and Bioinformatics.
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.