Thomas Moerman

8.2k total citations · 1 hit paper
3 papers, 3.4k citations indexed

About

Thomas Moerman is a scholar working on Molecular Biology, Ecology and Biophysics. According to data from OpenAlex, Thomas Moerman has authored 3 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Ecology and 1 paper in Biophysics. Recurrent topics in Thomas Moerman's work include Single-cell and spatial transcriptomics (2 papers), Gene Regulatory Network Analysis (2 papers) and Gene expression and cancer classification (1 paper). Thomas Moerman is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Gene Regulatory Network Analysis (2 papers) and Gene expression and cancer classification (1 paper). Thomas Moerman collaborates with scholars based in Belgium and United States. Thomas Moerman's co-authors include Stein Aerts, Carmen Bravo González‐Blas, Sara Aibar, Jan Aerts, Vân Anh Huynh‐Thu, Pierre Geurts, Gert Hulselmans, Jasper Wouters, Florian Rambow and Zeynep Kalender Atak and has published in prestigious journals such as Bioinformatics, Nature Methods and Analytical and Bioanalytical Chemistry.

In The Last Decade

Thomas Moerman

3 papers receiving 3.4k citations

Hit Papers

SCENIC: single-cell regulatory network inference and clus... 2017 2026 2020 2023 2017 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Moerman Belgium 3 2.4k 1.1k 569 543 284 3 3.4k
Raghav Chawla Switzerland 9 2.1k 0.9× 937 0.9× 498 0.9× 476 0.9× 280 1.0× 24 3.2k
Prapti Pokharel United States 4 2.9k 1.2× 1.1k 1.1× 688 1.2× 537 1.0× 291 1.0× 5 4.0k
Carmen Bravo González‐Blas Belgium 14 3.4k 1.4× 1.2k 1.1× 783 1.4× 671 1.2× 309 1.1× 16 4.7k
Christopher S. McGinnis United States 11 1.7k 0.7× 809 0.8× 420 0.7× 403 0.7× 175 0.6× 12 2.7k
Rapolas Žilionis Lithuania 12 1.6k 0.7× 1.3k 1.2× 338 0.6× 580 1.1× 441 1.6× 16 3.2k
Nghia Millard United States 4 2.8k 1.2× 1.4k 1.3× 710 1.2× 690 1.3× 413 1.5× 7 4.3k
Wouter Saelens Belgium 14 2.8k 1.2× 1.5k 1.4× 589 1.0× 503 0.9× 297 1.0× 20 4.2k
Zeynep Kalender Atak Belgium 17 3.4k 1.4× 1.4k 1.3× 831 1.5× 893 1.6× 379 1.3× 23 4.9k
Austin Hsu United States 5 1.4k 0.6× 1.0k 1.0× 487 0.9× 515 0.9× 515 1.8× 5 2.5k

Countries citing papers authored by Thomas Moerman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Thomas Moerman

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Moerman. A scholar is included among the top collaborators of Thomas Moerman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Moerman. Thomas Moerman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Zhang, Wanqiu, Marc Claesen, Thomas Moerman, et al.. (2021). Spatially aware clustering of ion images in mass spectrometry imaging data using deep learning. Analytical and Bioanalytical Chemistry. 413(10). 2803–2819. 25 indexed citations
2.
Moerman, Thomas, Sara Aibar, Carmen Bravo González‐Blas, et al.. (2018). GRNBoost2 and Arboreto: efficient and scalable inference of gene regulatory networks. Bioinformatics. 35(12). 2159–2161. 292 indexed citations
3.
Aibar, Sara, Carmen Bravo González‐Blas, Thomas Moerman, et al.. (2017). SCENIC: single-cell regulatory network inference and clustering. Nature Methods. 14(11). 1083–1086. 3087 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026