Simon Haas
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation 17
- Acute Myeloid Leukemia Research 6
- Platelet Disorders and Treatments 3
- Cancer Research top 2%
- Immunology top 5%
- Immune cells in cancer 7
- Immune Cell Function and Interaction 6
- Immune responses and vaccinations 3
- Genetics top 5%
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 14
-
- CAR-T cell therapy research 3
- Co-authors
- Andreas TrumppLars VeltenLars M. SteinmetzMichael D. MilsomMarieke EssersChiara BaccinJude Al-SabahFlorian Grünschläger
- Cited by
- HematologyCancer ResearchImmunology
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Simon Haas
38 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Hematology 982
- Cancer Research 858
- Immunology 872
- Genetics 338
- Molecular Biology 1.9k
Countries citing papers authored by Simon Haas
This map shows the geographic impact of Simon Haas'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 Simon Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Haas more than expected).
Fields of papers citing papers by Simon Haas
This network shows the impact of papers produced by Simon Haas. 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 Simon Haas. The network helps show where Simon Haas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Simon Haas, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 18 | |
| 4 | The cycling and aging mouse female reproductive tract at single-cell resolutionbreakdown → | 2024 | 54 |
| 5 | 2023 | 24 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 33 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 89 | |
| 12 | 2020 | 21 | |
| 13 | 2020 | 5 | |
| 14 | Combined single-cell and spatial transcriptomics reveal the molecular, cellular and spatial bone marrow niche organizationbreakdown → | 2019 | 530 |
| 15 | 2018 | 216 | |
| 16 | 2017 | 49 | |
| 17 | 2016 | 35 | |
| 18 | Inflammation-Induced Emergency Megakaryopoiesis Driven by Hematopoietic Stem Cell-like Megakaryocyte Progenitorsbreakdown → | 2015 | 292 |
| 19 | 2014 | 25 | |
| 20 | Braveheart, a Long Noncoding RNA Required for Cardiovascular Lineage Commitmentbreakdown → | 2013 | 733 |
About Simon Haas
Simon Haas is a scholar working on Hematology, Immunology, Molecular Biology, Cancer Research and Oncology, having authored 40 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (17 papers), Single-cell and spatial transcriptomics (14 papers), Immune cells in cancer (7 papers), Acute Myeloid Leukemia Research (6 papers), Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (3 papers), Platelet Disorders and Treatments (3 papers) and Immune responses and vaccinations (3 papers). The work is most often cited by research in Hematology (982 citations), Cancer Research (858 citations), Immunology (872 citations), Genetics (338 citations) and Molecular Biology (1.9k citations). Simon Haas has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Andreas Trumpp, Lars Velten, Lars M. Steinmetz, Michael D. Milsom, Marieke Essers, Chiara Baccin, Jude Al-Sabah, Florian Grünschläger, Sandra Blaszkiewicz and Pablo Hernández-Malmierca. Their work appears in journals such as Blood, Cell, Experimental Hematology, Cell stem cell and Frontiers in Immunology.
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.