Claus Nerlov

14.0k total citations · 1 hit paper
105 papers, 8.8k citations indexed

About

Claus Nerlov is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Claus Nerlov has authored 105 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 53 papers in Hematology and 32 papers in Immunology. Recurrent topics in Claus Nerlov's work include Acute Myeloid Leukemia Research (32 papers), Hematopoietic Stem Cell Transplantation (24 papers) and Immune Cell Function and Interaction (18 papers). Claus Nerlov is often cited by papers focused on Acute Myeloid Leukemia Research (32 papers), Hematopoietic Stem Cell Transplantation (24 papers) and Immune Cell Function and Interaction (18 papers). Claus Nerlov collaborates with scholars based in United Kingdom, Italy and Sweden. Claus Nerlov's co-authors include Sten Eirik W. Jacobsen, Thomas Graf, Edward B. Ziff, Bo Porse, Peggy Kirstetter, Adriana Rosa Gambardella, Francesco Blasi, Morten Johnsen, Rodolphe G. Lopez and Elena Mancini and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Claus Nerlov

105 papers receiving 8.7k citations

Hit Papers

Chronic interleukin-1 exp... 2016 2026 2019 2022 2016 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Claus Nerlov 5.1k 2.9k 2.7k 1.1k 1.1k 105 8.8k
Mikael Sigvardsson 3.8k 0.7× 2.4k 0.8× 4.3k 1.6× 788 0.7× 1.1k 1.0× 146 8.6k
Keiyo Takubo 4.4k 0.8× 3.6k 1.3× 2.1k 0.8× 1.5k 1.4× 1.4k 1.3× 106 9.3k
David Bryder 4.8k 0.9× 4.6k 1.6× 3.9k 1.5× 722 0.7× 1.1k 1.0× 123 10.2k
Alan D. Friedman 4.4k 0.9× 2.1k 0.7× 1.7k 0.7× 819 0.7× 1.0k 0.9× 128 7.0k
Atsushi Iwama 7.6k 1.5× 3.6k 1.2× 2.5k 0.9× 1.5k 1.3× 2.2k 2.0× 251 12.1k
Fumio Arai 4.6k 0.9× 3.6k 1.3× 2.2k 0.8× 1.2k 1.1× 2.0k 1.8× 98 9.2k
Gerald de Haan 3.9k 0.8× 2.6k 0.9× 1.6k 0.6× 732 0.7× 982 0.9× 159 7.8k
Carl R. Walkley 5.0k 1.0× 1.5k 0.5× 1.7k 0.6× 946 0.9× 1.0k 0.9× 110 7.3k
H. Leighton Grimes 4.4k 0.9× 1.6k 0.6× 3.0k 1.1× 1.1k 1.0× 1.5k 1.4× 141 8.3k
Paul‐Henri Roméo 4.6k 0.9× 1.7k 0.6× 1.4k 0.5× 526 0.5× 809 0.7× 151 7.7k

Countries citing papers authored by Claus Nerlov

Since Specialization
Citations

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

Fields of papers citing papers by Claus Nerlov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claus Nerlov

This figure shows the co-authorship network connecting the top 25 collaborators of Claus Nerlov. A scholar is included among the top collaborators of Claus Nerlov 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 Claus Nerlov. Claus Nerlov 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.
Zhang, Sen, Xiaoping Du, Mortimer Poncz, et al.. (2025). Platelet factor 4 regulates hematopoietic stem cell aging. Blood. 146(23). 2765–2778. 1 indexed citations
2.
Estruch, Montserrat, F. Germán Rodríguez-González, Javier Martín‐González, et al.. (2024). Endomucin marks quiescent long-term multi-lineage repopulating hematopoietic stem cells and is essential for their transendothelial migration. Cell Reports. 43(7). 114475–114475. 3 indexed citations
3.
Meng, Yiran & Claus Nerlov. (2024). Epigenetic regulation of hematopoietic stem cell fate. Trends in Cell Biology. 35(3). 217–229. 12 indexed citations
4.
Gafencu, Grigore, Bilyana Stoilova, Mario Buono, et al.. (2024). Hematopoietic stem cell heterogeneity and age-associated platelet bias are evolutionarily conserved. Science Immunology. 9(98). eadk3469–eadk3469. 10 indexed citations
5.
Meng, Yiran, Joana Carrelha, Roy Drissen, et al.. (2023). Epigenetic programming defines haematopoietic stem cell fate restriction. Nature Cell Biology. 25(6). 812–822. 19 indexed citations
6.
Kaeppler, Jakob, Jianzhou Chen, Mario Buono, et al.. (2022). Endothelial cell death after ionizing radiation does not impair vascular structure in mouse tumor models. EMBO Reports. 23(9). e53221–e53221. 9 indexed citations
7.
Czéh, Melinda, Sina Stäble, Joana Carrelha, et al.. (2021). DNMT1 Deficiency Impacts on Plasmacytoid Dendritic Cells in Homeostasis and Autoimmune Disease. The Journal of Immunology. 208(2). 358–370. 6 indexed citations
8.
Valletta, Simona, Alexander Thomas, Yiran Meng, et al.. (2020). Micro-environmental sensing by bone marrow stroma identifies IL-6 and TGFβ1 as regulators of hematopoietic ageing. Nature Communications. 11(1). 4075–4075. 79 indexed citations
9.
Drissen, Roy, Supat Thongjuea, Kim Theilgaard‐Mönch, & Claus Nerlov. (2019). Identification of two distinct pathways of human myelopoiesis. Science Immunology. 4(35). 59 indexed citations
10.
Volpe, Giacomo, Pierre Cauchy, David S. Walton, et al.. (2019). Dependence on Myb expression is attenuated in myeloid leukaemia with N-terminal CEBPA mutations. Life Science Alliance. 2(2). e201800207–e201800207. 5 indexed citations
11.
Etzrodt, Martin, Nouraiz Ahmed, Philipp S. Hoppe, et al.. (2018). Inflammatory signals directly instruct PU.1 in HSCs via TNF. Blood. 133(8). 816–819. 51 indexed citations
12.
Buono, Mario, Marie‐Laëtitia Thézénas, Alessandro Ceroni, Román Fischer, & Claus Nerlov. (2018). Bi-directional signaling by membrane-bound KitL induces proliferation and coordinates thymic endothelial cell and thymocyte expansion. Nature Communications. 9(1). 4685–4685. 13 indexed citations
13.
Reckzeh, Kristian, Montserrat Estruch, Amit Grover, et al.. (2018). Human adult HSCs can be discriminated from lineage-committed HPCs by the expression of endomucin. Blood Advances. 2(13). 1628–1632. 11 indexed citations
14.
Brown, Edward M., Leo M. Carlin, Claus Nerlov, Cristina Lo Celso, & Alastair W. Poole. (2018). Multiple membrane extrusion sites drive megakaryocyte migration into bone marrow blood vessels. Life Science Alliance. 1(2). e201800061–e201800061. 37 indexed citations
15.
Jacobsen, Sten Eirik W. & Claus Nerlov. (2018). Haematopoiesis in the era of advanced single-cell technologies. Nature Cell Biology. 21(1). 2–8. 77 indexed citations
16.
Carrieri, Claudia, Stefano Comazzetto, Amit Grover, et al.. (2017). A transit-amplifying population underpins the efficient regenerative capacity of the testis. The Journal of Experimental Medicine. 214(6). 1631–1641. 52 indexed citations
17.
Drissen, Roy, Natalija Buza-Vidas, Petter Woll, et al.. (2016). Distinct myeloid progenitor–differentiation pathways identified through single-cell RNA sequencing. Nature Immunology. 17(6). 666–676. 161 indexed citations
18.
Pietras, Eric M., Sarah Fong, Dirk Loeffler, et al.. (2016). Chronic interleukin-1 exposure drives haematopoietic stem cells towards precocious myeloid differentiation at the expense of self-renewal. Nature Cell Biology. 18(6). 607–618. 500 indexed citations breakdown →
19.
Bakri, Youssef, et al.. (2004). Balance of MafB and PU.1 specifies alternative macrophage or dendritic cell fate. Blood. 105(7). 2707–2716. 142 indexed citations

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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