Simon Haas

8.3k total citations · 5 hit papers
40 papers, 3.1k citations indexed

About

Simon Haas is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Simon Haas has authored 40 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 21 papers in Hematology and 19 papers in Immunology. Recurrent topics in Simon Haas's work include Hematopoietic Stem Cell Transplantation (17 papers), Single-cell and spatial transcriptomics (14 papers) and Immune cells in cancer (7 papers). Simon Haas is often cited by papers focused on Hematopoietic Stem Cell Transplantation (17 papers), Single-cell and spatial transcriptomics (14 papers) and Immune cells in cancer (7 papers). Simon Haas collaborates with scholars based in Germany, United States and United Kingdom. Simon Haas's 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 and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Simon Haas

38 papers receiving 3.0k citations

Hit Papers

Braveheart, a Long Noncoding RNA Required for Cardiovascu... 2013 2026 2017 2021 2013 2017 2019 2015 2024 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Braveheart, a Long Noncoding RNA Required for Cardiovascular Lineage Commitment
    2013 733 citations Carla Klattenhoff, Johanna C. Scheuermann et al. Cell profile →
  2. Human haematopoietic stem cell lineage commitment is a continuous process
    2017 539 citations Lars Velten, Simon Haas et al. Nature Cell Biology profile →
  3. Combined single-cell and spatial transcriptomics reveal the molecular, cellular and spatial bone marrow niche organization
    2019 530 citations Chiara Baccin, Jude Al-Sabah et al. Nature Cell Biology profile →
  4. Inflammation-Induced Emergency Megakaryopoiesis Driven by Hematopoietic Stem Cell-like Megakaryocyte Progenitors
    2015 292 citations Simon Haas, Jenny Hansson et al. Cell stem cell profile →
  5. The cycling and aging mouse female reproductive tract at single-cell resolution
    2024 54 citations Fritjof Lammers, Nina Schneider et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Haas Germany 19 1.9k 982 872 858 346 40 3.1k
Borja Sáez United States 22 1.7k 0.9× 772 0.8× 492 0.6× 432 0.5× 422 1.2× 41 2.8k
Maike Jaworski Germany 14 1.1k 0.6× 1.1k 1.1× 931 1.1× 424 0.5× 496 1.4× 18 2.6k
Jeffrey L. Kutok United States 16 1.8k 1.0× 735 0.7× 1.2k 1.3× 1.1k 1.3× 640 1.8× 26 3.6k
Florian Kuchenbauer Germany 25 2.4k 1.3× 882 0.9× 497 0.6× 1.6k 1.9× 263 0.8× 81 3.4k
Rossana Trotta United States 31 1.7k 0.9× 956 1.0× 1.7k 1.9× 537 0.6× 809 2.3× 58 3.9k
John E. Pimanda Australia 31 2.4k 1.3× 1.1k 1.1× 680 0.8× 423 0.5× 327 0.9× 81 3.5k
Nathan C. Boles United States 21 1.4k 0.8× 1.2k 1.3× 1.1k 1.3× 220 0.3× 286 0.8× 33 2.9k
Youmna Kfoury United States 25 980 0.5× 620 0.6× 1.0k 1.2× 342 0.4× 537 1.6× 42 2.5k
Lars Velten Germany 13 1.4k 0.8× 746 0.8× 681 0.8× 237 0.3× 229 0.7× 26 2.3k
Elizabeth A. Eklund United States 33 1.6k 0.9× 579 0.6× 1.1k 1.3× 285 0.3× 574 1.7× 90 2.7k

Countries citing papers authored by Simon Haas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Simon Haas

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

All Works

20 of 20 papers shown
1.
Korenkov, Michael, Stefan Schwartz, L. Herzberg, et al.. (2025). Chronic inflammatory demyelinating polyneuropathy (CIDP) after cilta-cel therapy. Blood Cancer Journal. 15(1). 168–168.
2.
Bucher, Christian H., Simon Haas, Katharina Schmidt‐Bleek, et al.. (2025). Pronounced impairment of B cell differentiation during bone regeneration in adult immune experienced mice. Frontiers in Immunology. 16. 1511902–1511902.
3.
Schubert, Maria‐Luisa, Peter Dreger, Anita Schmitt, et al.. (2024). Third-generation anti-CD19 CAR T cells for relapsed/refractory chronic lymphocytic leukemia: a phase 1/2 study. Leukemia. 38(11). 2419–2428. 18 indexed citations
4.
Lammers, Fritjof, Nina Schneider, Jasper Panten, et al.. (2024). The cycling and aging mouse female reproductive tract at single-cell resolution. Cell. 187(4). 981–998.e25. 54 indexed citations breakdown →
5.
Funk, Maja C., Jan Gleixner, Florian Heigwer, et al.. (2023). Aged intestinal stem cells propagate cell-intrinsic sources of inflammaging in mice. Developmental Cell. 58(24). 2914–2929.e7. 24 indexed citations
6.
Grünschläger, Florian, et al.. (2023). Single-cell time series analysis reveals the dynamics of HSPC response to inflammation. Life Science Alliance. 7(3). e202302309–e202302309. 5 indexed citations
7.
Obermayer, Benedikt, Thomas Conrad, Marco Frentsch, et al.. (2023). Single-cell clonal tracking of persistent T-cells in allogeneic hematopoietic stem cell transplantation. Frontiers in Immunology. 14. 1114368–1114368. 6 indexed citations
8.
Horne, Arik, Qirui Zhang, Michael Heuser, et al.. (2023). Cell fate determinant Llgl1 is required for propagation of acute myeloid leukemia. Leukemia. 37(10). 2027–2035. 2 indexed citations
9.
Trumpp, Andreas & Simon Haas. (2022). Cancer stem cells: The adventurous journey from hematopoietic to leukemic stem cells. Cell. 185(8). 1266–1270. 33 indexed citations
10.
Wirth, Matthias, Le Zhang, Konstandina Isaakidis, et al.. (2022). Small-molecule SUMO inhibition for biomarker-informed B-cell lymphoma therapy. Haematologica. 108(2). 555–567. 5 indexed citations
11.
Velten, Lars, Pablo Hernández-Malmierca, Simon Raffel, et al.. (2021). Identification of leukemic and pre-leukemic stem cells by clonal tracking from single-cell transcriptomics. Nature Communications. 12(1). 1366–1366. 89 indexed citations
12.
Loughran, Stephen J., Simon Haas, Adam C. Wilkinson, Allon M. Klein, & Marjorie Brand. (2020). Lineage commitment of hematopoietic stem cells and progenitors: insights from recent single cell and lineage tracing technologies. Experimental Hematology. 88. 1–6. 21 indexed citations
13.
Carrelha, Joana, Dawn Lin, Alejo Rodriguez-Fraticelli, et al.. (2020). Single-cell lineage tracing approaches in hematology research: technical considerations. Experimental Hematology. 89. 26–36. 5 indexed citations
14.
Baccin, Chiara, Jude Al-Sabah, Lars Velten, et al.. (2019). Combined single-cell and spatial transcriptomics reveal the molecular, cellular and spatial bone marrow niche organization. Nature Cell Biology. 22(1). 38–48. 530 indexed citations breakdown →
15.
Haas, Simon, Andreas Trumpp, & Michael D. Milsom. (2018). Causes and Consequences of Hematopoietic Stem Cell Heterogeneity. Cell stem cell. 22(5). 627–638. 216 indexed citations
16.
Hirche, Christoph, Theresa Frenz, Simon Haas, et al.. (2017). Systemic Virus Infections Differentially Modulate Cell Cycle State and Functionality of Long-Term Hematopoietic Stem Cells In Vivo. Cell Reports. 19(11). 2345–2356. 49 indexed citations
17.
Prendergast, Áine M., Andrea Kuck, Mieke F. van Essen, et al.. (2016). IFNα-mediated remodeling of endothelial cells in the bone marrow niche. Haematologica. 102(3). 445–453. 35 indexed citations
18.
Haas, Simon, Jenny Hansson, Daniel Klimmeck, et al.. (2015). Inflammation-Induced Emergency Megakaryopoiesis Driven by Hematopoietic Stem Cell-like Megakaryocyte Progenitors. Cell stem cell. 17(4). 422–434. 292 indexed citations breakdown →
19.
Lipka, Daniel B., Qi Wang, Nina Cabezas‐Wallscheid, et al.. (2014). Identification of DNA methylation changes atcis-regulatory elements during early steps of HSC differentiation using tagmentation-based whole genome bisulfite sequencing. Cell Cycle. 13(22). 3476–3487. 25 indexed citations
20.
Klattenhoff, Carla, Johanna C. Scheuermann, Lauren E. Surface, et al.. (2013). Braveheart, a Long Noncoding RNA Required for Cardiovascular Lineage Commitment. Cell. 152(3). 570–583. 733 indexed citations breakdown →

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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