Lukas Marcelis

1.6k citations
26 papers · 487 · h-index 12

Impact in

Papers in

    • Single-cell and spatial transcriptomics 4
    • Protein Degradation and Inhibitors 2
    • Immunotherapy and Immune Responses 4

Lukas Marcelis

23 papers receiving 478 citations

Peers

Lukas Marcelis
Comparison fields: 5 of 71
  • Obstetrics and Gynecology 117
  • Pathology and Forensic Medicine 140
  • Oncology 186
  • Genetics 57
  • Immunology 98
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Emily A. Sloan United States
Jens Ole Eriksen Denmark
Giuliana Crisman Italy
Stanley J. Oiseth United States
Paola De Sanctis Italy
Rekha Parmar United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Lukas Marcelis

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Marcelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020122
2 199052
3 202043
4 201937
5 200432
6 202032
7 202228
8 202025
9 201919
10 202118
11 202118
12 201916
13 201810
14 20239
15 20217
16 20186
17 20223
18 20223
19 20072
20
3D digitization and modeling of flower mutants of Arabidopsis thaliana
20032

About Lukas Marcelis

Lukas Marcelis is a scholar working on Molecular Biology, Immunology, Pathology and Forensic Medicine, Oncology and Genetics, having authored 26 papers that have together received 487 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Single-cell and spatial transcriptomics (4 papers), Immunotherapy and Immune Responses (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Viral-associated cancers and disorders (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Protein Degradation and Inhibitors (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Obstetrics and Gynecology (117 citations), Pathology and Forensic Medicine (140 citations), Oncology (186 citations), Genetics (57 citations) and Immunology (98 citations). Lukas Marcelis has collaborated with scholars based in Belgium, United States and Italy. Frequent co-authors include Thomas Tousseyn, Francesca M. Bosisio, Asier Antoranz, Giorgio Cattoretti, Xavier Sagaert, Maddalena M. Bolognesi, Veena Rajaram, Marcella Baldewijns, W. Tony Parks and Rebecca L. Linn. Their work appears in journals such as Frontiers in Oncology, Genes Chromosomes and Cancer, JNCI Journal of the National Cancer Institute, Nature Communications and Histopathology.

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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