Lars Velten
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 7
- Acute Myeloid Leukemia Research 6
- Platelet Disorders and Treatments 2
- Immunology top 5%
- Immune cells in cancer 5
- Genetics top 5%
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 10
- Genomics and Chromatin Dynamics 4
- RNA modifications and cancer 3
- RNA Research and Splicing 3
- Cancer Research top 10%
- Co-authors
- Lars M. SteinmetzSimon HaasAndreas TrumppPablo Hernández-MalmiercaJude Al-SabahChiara BaccinCésar Nombela‐ArrietaFlorian Grünschläger
- Cited by
- HematologyImmunologyGenetics
- Partner nations
- GermanySpainUnited States
In The Last Decade
Lars Velten
24 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Hematology 746
- Immunology 681
- Genetics 269
- Molecular Biology 1.4k
- Cancer Research 237
Countries citing papers authored by Lars Velten
This map shows the geographic impact of Lars Velten'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 Lars Velten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Velten more than expected).
Fields of papers citing papers by Lars Velten
This network shows the impact of papers produced by Lars Velten. 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 Lars Velten. The network helps show where Lars Velten may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lars Velten, 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 | 2025 | 6 | |
| 2 | 2025 | 5 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2022 | 23 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 17 | |
| 12 | 2021 | 89 | |
| 13 | 2020 | 127 | |
| 14 | Combined single-cell and spatial transcriptomics reveal the molecular, cellular and spatial bone marrow niche organizationbreakdown → | 2019 | 530 |
| 15 | 2018 | 3 | |
| 16 | 2015 | 42 | |
| 17 | Inflammation-Induced Emergency Megakaryopoiesis Driven by Hematopoietic Stem Cell-like Megakaryocyte Progenitorsbreakdown → | 2015 | 292 |
| 18 | 2013 | 184 | |
| 19 | 1987 | 4 | |
| 20 | 1984 | 179 |
About Lars Velten
Lars Velten is a scholar working on Hematology, Immunology, Molecular Biology, Cancer Research and Genetics, having authored 26 papers that have together received 2.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (6 papers), Immune cells in cancer (5 papers), Genomics and Chromatin Dynamics (4 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (3 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Hematology (746 citations), Immunology (681 citations), Genetics (269 citations), Molecular Biology (1.4k citations) and Cancer Research (237 citations). Lars Velten has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Lars M. Steinmetz, Simon Haas, Andreas Trumpp, Pablo Hernández-Malmierca, Jude Al-Sabah, Chiara Baccin, César Nombela‐Arrieta, Florian Grünschläger, Patrick M. Helbling and Sandra Blaszkiewicz. Their work appears in journals such as Nature Communications, Blood, Molecular Systems Biology, Nature Cell Biology and Cell stem cell.
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.