Malte D. Luecken
- Molecular Biology top 5%
- Immunology top 5%
- Cancer Research top 5%
- Biophysics top 0.5%
- Oncology
- Co-authors
- Fabian J. TheisMaren BüttnerMarta InterlandiDaniel StroblLuke ZappiaKridsadakorn ChaichoompuMaria Colomé‐TatchéMartin Dugas
- Topics
- Single-cell and spatial transcriptomics (9 papers)Cell Image Analysis Techniques (5 papers)Gene expression and cancer classification (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Malte D. Luecken
16 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.8k
- Immunology 435
- Cancer Research 394
- Biophysics 387
- Oncology 164
Countries citing papers authored by Malte D. Luecken
This map shows the geographic impact of Malte D. Luecken'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 Malte D. Luecken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malte D. Luecken more than expected).
Fields of papers citing papers by Malte D. Luecken
This network shows the impact of papers produced by Malte D. Luecken. 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 Malte D. Luecken. The network helps show where Malte D. Luecken may publish in the future.
Co-authorship network of co-authors of Malte D. Luecken
This figure shows the co-authorship network connecting the top 25 collaborators of Malte D. Luecken. A scholar is included among the top collaborators of Malte D. Luecken 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 Malte D. Luecken. Malte D. Luecken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Optimizing Xenium In Situ data utility by quality assessment and best-practice analysis workflowsbreakdown → | 25 |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 10 | |
| 10 | 36 | |
| 11 | 18 | |
| 12 | 54 | |
| 13 | 15 | |
| 14 | 77 | |
| 15 | Benchmarking atlas-level data integration in single-cell genomicsbreakdown → | 544 |
| 16 | Mapping single-cell data to reference atlases by transfer learningbreakdown → | 247 |
| 17 | Current best practices in single‐cell RNA‐seq analysis: a tutorialbreakdown → | 1114 |
| 18 | 5 |
About Malte D. Luecken
Malte D. Luecken is a scholar working on Biophysics, Biological Psychiatry and Transplantation, having authored 18 papers that have together received 2.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), Cell Image Analysis Techniques (5 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Biophysics (387 citations), Cancer Research (394 citations) and Molecular Biology (1.8k citations). Malte D. Luecken has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Fabian J. Theis, Maren Büttner, Marta Interlandi, Daniel Strobl, Luke Zappia, Kridsadakorn Chaichoompu, Maria Colomé‐Tatché, Martin Dugas, Anna Danese and Martin Mueller. Their work appears in journals such as Nature Communications, Nature Genetics and Nature Biotechnology.
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.