Carl Sandén

585 total citations
18 papers, 426 citations indexed

About

Carl Sandén is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Carl Sandén has authored 18 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 9 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Carl Sandén's work include Acute Myeloid Leukemia Research (11 papers), CAR-T cell therapy research (4 papers) and Immune Cell Function and Interaction (4 papers). Carl Sandén is often cited by papers focused on Acute Myeloid Leukemia Research (11 papers), CAR-T cell therapy research (4 papers) and Immune Cell Function and Interaction (4 papers). Carl Sandén collaborates with scholars based in Sweden, Denmark and Finland. Carl Sandén's co-authors include Thoas Fioretos, Marianne Rissler, Helena Ågerstam, Sofia von Palffy, Urban Gullberg, Marcus Järås, Johan Richter, Maria Askmyr, Henrik Lilljebjörn and Andreas Lennartsson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Carl Sandén

16 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carl Sandén Sweden 11 198 187 137 91 54 18 426
Lemlem Alemu United States 12 228 1.2× 220 1.2× 144 1.1× 57 0.6× 30 0.6× 25 451
Garrett W. Rhyasen United States 8 288 1.5× 217 1.2× 205 1.5× 91 1.0× 139 2.6× 11 555
Niklas Landberg Sweden 10 114 0.6× 149 0.8× 72 0.5× 69 0.8× 58 1.1× 17 289
Naïs Prade France 7 197 1.0× 176 0.9× 90 0.7× 95 1.0× 38 0.7× 8 395
Miori Inoue Japan 7 241 1.2× 121 0.6× 74 0.5× 102 1.1× 47 0.9× 10 365
Darlene Monlish United States 11 135 0.7× 116 0.6× 228 1.7× 68 0.7× 29 0.5× 25 387
Sanne Hiddingh Netherlands 10 168 0.8× 156 0.8× 87 0.6× 129 1.4× 19 0.4× 20 380
Barbara Spitzer United States 10 273 1.4× 267 1.4× 62 0.5× 63 0.7× 64 1.2× 39 475
Jutta Proba Germany 6 161 0.8× 127 0.7× 108 0.8× 139 1.5× 47 0.9× 6 341
Kai Herrmann Germany 8 293 1.5× 145 0.8× 213 1.6× 79 0.9× 24 0.4× 8 538

Countries citing papers authored by Carl Sandén

Since Specialization
Citations

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

Fields of papers citing papers by Carl Sandén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Sandén

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

All Works

18 of 18 papers shown
1.
Lilljebjörn, Henrik, Rasmus Henningsson, Marianne Rissler, et al.. (2025). The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes. Nature Communications. 16(1). 10592–10592.
2.
Sandén, Carl, Niklas Landberg, Shruti Daga, et al.. (2025). Aberrant expression of SLAMF6 constitutes a targetable immune escape mechanism in acute myeloid leukemia. Nature Cancer. 6(11). 1821–1838.
3.
Henningsson, Rasmus, Helena Ågerstam, Carl Sandén, et al.. (2024). Single-cell genomics details the maturation block in BCP-ALL and identifies therapeutic vulnerabilities in DUX4-r cases. Blood. 144(13). 1399–1411. 3 indexed citations
4.
Subramaniam, Agatheeswaran, Carl Sandén, Mattias Magnusson, et al.. (2022). Inducing synthetic lethality for selective targeting of acute myeloid leukemia cells harboring <i>STAG2</i> mutations. Haematologica. 107(9). 2271–2275. 3 indexed citations
5.
Lilljebjörn, Henrik, Carl Sandén, Alar Aab, et al.. (2022). Transcriptional profiling demonstrates altered characteristics of CD8+ cytotoxic T‐cells and regulatory T‐cells in TP53‐mutated acute myeloid leukemia. Cancer Medicine. 11(15). 3023–3032. 10 indexed citations
6.
Palffy, Sofia von, Carl Sandén, Anna M. Blom, et al.. (2022). The complement receptor C3AR constitutes a novel therapeutic target in NPM1-mutated AML. Blood Advances. 7(7). 1204–1218. 6 indexed citations
7.
Sandén, Carl, Henrik Lilljebjörn, Christina Orsmark‐Pietras, et al.. (2020). Clonal competition within complex evolutionary hierarchies shapes AML over time. Nature Communications. 11(1). 579–579. 21 indexed citations
8.
Palma-Tortosa, Sara, Carl Sandén, Thoas Fioretos, et al.. (2020). Combinatorial molecule screening identified a novel diterpene and the BET inhibitor CPI-203 as differentiation inducers of primary acute myeloid leukemia cells. Haematologica. 106(10). 2566–2577. 5 indexed citations
9.
Palffy, Sofia von, Niklas Landberg, Carl Sandén, et al.. (2019). A high-content cytokine screen identifies myostatin propeptide as a positive regulator of primitive chronic myeloid leukemia cells. Haematologica. 105(8). 2095–2104. 9 indexed citations
10.
Landberg, Niklas, Sofia von Palffy, Maria Askmyr, et al.. (2017). CD36 defines primitive chronic myeloid leukemia cells less responsive to imatinib but vulnerable to antibody-based therapeutic targeting. Haematologica. 103(3). 447–455. 51 indexed citations
11.
Sandén, Carl, Giorgia Montano, Henrik Lilljebjörn, et al.. (2016). Distinct global binding patterns of the Wilms tumor gene 1 (WT1) −KTS and +KTS isoforms in leukemic cells. Haematologica. 102(2). 336–345. 11 indexed citations
12.
Ågerstam, Helena, Nils Hansen, Sofia von Palffy, et al.. (2016). IL1RAP antibodies block IL-1–induced expansion of candidate CML stem cells and mediate cell killing in xenograft models. Blood. 128(23). 2683–2693. 70 indexed citations
13.
Sandén, Carl, et al.. (2015). The DEK oncoprotein and its emerging roles in gene regulation. Leukemia. 29(8). 1632–1636. 32 indexed citations
14.
Ågerstam, Helena, Christine Karlsson, Nils Hansen, et al.. (2015). Antibodies targeting human IL1RAP (IL1R3) show therapeutic effects in xenograft models of acute myeloid leukemia. Proceedings of the National Academy of Sciences. 112(34). 10786–10791. 86 indexed citations
15.
Roepstorff, Kirstine, Heli Uronen‐Hansson, Carl Sandén, et al.. (2014). A major population of mucosal memory CD4+ T cells, coexpressing IL-18Rα and DR3, display innate lymphocyte functionality. Mucosal Immunology. 8(3). 545–558. 37 indexed citations
16.
Sandén, Carl, et al.. (2014). The DEK oncoprotein binds to highly and ubiquitously expressed genes with a dual role in their transcriptional regulation. Molecular Cancer. 13(1). 215–215. 31 indexed citations
17.
Sandén, Carl, et al.. (2013). Forced expression of the DEK-NUP214 fusion protein promotes proliferation dependent on upregulation of mTOR. BMC Cancer. 13(1). 440–440. 37 indexed citations
18.

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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