Lieke Michielsen

912 total citations · 1 hit paper
8 papers, 413 citations indexed

About

Lieke Michielsen is a scholar working on Molecular Biology, Biophysics and Cancer Research. According to data from OpenAlex, Lieke Michielsen has authored 8 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Biophysics and 3 papers in Cancer Research. Recurrent topics in Lieke Michielsen's work include Single-cell and spatial transcriptomics (8 papers), Cell Image Analysis Techniques (4 papers) and Cancer-related molecular mechanisms research (3 papers). Lieke Michielsen is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Cell Image Analysis Techniques (4 papers) and Cancer-related molecular mechanisms research (3 papers). Lieke Michielsen collaborates with scholars based in Netherlands, Italy and Israel. Lieke Michielsen's co-authors include Marcel Reinders, Ahmed Mahfouz, Davy Cats, Hailiang Mei, Tamim Abdelaal, Thomas Höllt, Anna Vilanova, Boudewijn P. F. Lelieveldt, Baldur van Lew and Nicola Pezzotti and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lieke Michielsen

8 papers receiving 411 citations

Hit Papers

A comparison of automatic cell identification methods for... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lieke Michielsen Netherlands 4 390 124 96 65 30 8 413
Zhi‐Jie Cao China 5 414 1.1× 74 0.6× 86 0.9× 61 0.9× 22 0.7× 5 467
Mohsen Naghipourfar United States 3 360 0.9× 125 1.0× 62 0.6× 65 1.0× 22 0.7× 4 412
Svetlana Gribkova France 4 367 0.9× 64 0.5× 117 1.2× 36 0.6× 23 0.8× 4 434
Haotian Cui Canada 5 400 1.0× 82 0.7× 59 0.6× 34 0.5× 43 1.4× 9 537
Matthew R. Stone United States 4 463 1.2× 70 0.6× 77 0.8× 93 1.4× 14 0.5× 5 536
Daniel Sumner Magruder Germany 5 251 0.6× 52 0.4× 97 1.0× 25 0.4× 38 1.3× 7 359
Jafar S. Jabbari Australia 7 306 0.8× 50 0.4× 73 0.8× 53 0.8× 10 0.3× 10 350
Junyun Cheng China 8 423 1.1× 99 0.8× 91 0.9× 95 1.5× 12 0.4× 14 506
Jacob C. Kimmel United States 8 265 0.7× 62 0.5× 23 0.2× 44 0.7× 13 0.4× 9 367
M. Javad Khajavi Norway 3 211 0.5× 67 0.5× 41 0.4× 53 0.8× 17 0.6× 5 253

Countries citing papers authored by Lieke Michielsen

Since Specialization
Citations

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

Fields of papers citing papers by Lieke Michielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lieke Michielsen

This figure shows the co-authorship network connecting the top 25 collaborators of Lieke Michielsen. A scholar is included among the top collaborators of Lieke Michielsen 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 Lieke Michielsen. Lieke Michielsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Prjibelski, Andrey D., Wen Hu, Lieke Michielsen, et al.. (2025). A spatial long-read approach at near-single-cell resolution reveals developmental regulation of splicing and polyadenylation sites in distinct cortical layers and cell types. Nature Communications. 16(1). 8093–8093. 1 indexed citations
2.
Michielsen, Lieke, Marcel Reinders, & Ahmed Mahfouz. (2024). Predicting cell population-specific gene expression from genomic sequence. SHILAP Revista de lepidopterología. 4. 1347276–1347276. 1 indexed citations
3.
Michielsen, Lieke, et al.. (2023). Cell type matching across species using protein embeddings and transfer learning. Bioinformatics. 39(Supplement_1). i404–i412. 2 indexed citations
4.
Michielsen, Lieke, Mohammad Lotfollahi, Daniel Strobl, et al.. (2023). Single-cell reference mapping to construct and extend cell-type hierarchies. NAR Genomics and Bioinformatics. 5(3). lqad070–lqad070. 14 indexed citations
5.
Michielsen, Lieke, Marcel Reinders, & Ahmed Mahfouz. (2021). Hierarchical progressive learning of cell identities in single-cell data. Nature Communications. 12(1). 2799–2799. 25 indexed citations
6.
Abdelaal, Tamim, Lieke Michielsen, Davy Cats, et al.. (2019). A comparison of automatic cell identification methods for single-cell RNA sequencing data. Genome biology. 20(1). 194–194. 346 indexed citations breakdown →
7.
Abdelaal, Tamim, Lieke Michielsen, Davy Cats, et al.. (2019). scRNA-seq classification benchmarking. Figshare. 1 indexed citations
8.
Lew, Baldur van, Ahmed Mahfouz, Nicola Pezzotti, et al.. (2017). BrainScope: interactive visual exploration of the spatial and temporal human brain transcriptome. Nucleic Acids Research. 45(10). gkx046–gkx046. 23 indexed citations

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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