Carl Högberg

605 total citations
18 papers, 466 citations indexed

About

Carl Högberg is a scholar working on Immunology, Hematology and Oncology. According to data from OpenAlex, Carl Högberg has authored 18 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 9 papers in Hematology and 7 papers in Oncology. Recurrent topics in Carl Högberg's work include Immune Cell Function and Interaction (5 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Acute Myeloid Leukemia Research (3 papers). Carl Högberg is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Acute Myeloid Leukemia Research (3 papers). Carl Högberg collaborates with scholars based in Sweden, United States and Finland. Carl Högberg's co-authors include David Erlinge, Marcus Järås, Thoas Fioretos, Johan Richter, Oscar Ö. Braun, Marianne Rissler, Helena Ågerstam, Maria Askmyr, Carl Sandén and Sofia von Palffy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Carl Högberg

17 papers receiving 462 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 Högberg Sweden 12 184 165 159 87 60 18 466
Paul Basciano United States 11 189 1.0× 108 0.7× 96 0.6× 115 1.3× 45 0.8× 26 523
Irene Kerr United States 8 91 0.5× 146 0.9× 188 1.2× 68 0.8× 36 0.6× 9 506
Anna Rogers United States 13 233 1.3× 83 0.5× 236 1.5× 89 1.0× 155 2.6× 15 679
A. Lyndsay Drayer Netherlands 14 212 1.2× 141 0.9× 150 0.9× 135 1.6× 17 0.3× 17 451
Abbey Willcox Australia 5 274 1.5× 104 0.6× 259 1.6× 94 1.1× 48 0.8× 14 587
Angelika Gillitzer Germany 6 126 0.7× 81 0.5× 208 1.3× 45 0.5× 160 2.7× 8 420
Shanti Rojas‐Sutterlin Canada 9 125 0.7× 82 0.5× 156 1.0× 91 1.0× 7 0.1× 10 374
Mariko Takenokuchi Japan 12 162 0.9× 102 0.6× 317 2.0× 52 0.6× 10 0.2× 30 609
Xiaoran Huang China 9 40 0.2× 83 0.5× 192 1.2× 20 0.2× 40 0.7× 19 422

Countries citing papers authored by Carl Högberg

Since Specialization
Citations

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

Fields of papers citing papers by Carl Högberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Högberg

This figure shows the co-authorship network connecting the top 25 collaborators of Carl Högberg. A scholar is included among the top collaborators of Carl Högberg 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 Högberg. Carl Högberg 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.
Högberg, Carl, et al.. (2021). Interleukin 4 promotes phagocytosis of murine leukemia cells counteracted by CD47 upregulation. Haematologica. 107(4). 816–824. 12 indexed citations
2.
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
3.
Agarwal, Puneet, Marion Chapellier, Carl Högberg, et al.. (2020). CXCR4 Signaling Has a CXCL12-Independent Essential Role in Murine MLL-AF9-Driven Acute Myeloid Leukemia. Cell Reports. 31(8). 107684–107684. 29 indexed citations
4.
Chapellier, Marion, Christina Orsmark‐Pietras, Henrik Lilljebjörn, et al.. (2019). Arrayed molecular barcoding identifies TNFSF13 as a positive regulator of acute myeloid leukemia-initiating cells. Haematologica. 104(10). 2006–2016. 16 indexed citations
5.
Chapellier, Marion, Carl Högberg, Christina Orsmark‐Pietras, et al.. (2017). Interleukin 4 induces apoptosis of acute myeloid leukemia cells in a Stat6-dependent manner. Leukemia. 32(3). 588–596. 35 indexed citations
6.
Askmyr, Maria, Sofia von Palffy, Nils Hansen, et al.. (2017). Transgenic expression of human cytokines in immunodeficient mice does not facilitate myeloid expansion of BCR-ABL1 transduced human cord blood cells. PLoS ONE. 12(10). e0186035–e0186035. 4 indexed citations
7.
Chapellier, Marion, Carl Högberg, Christina Orsmark‐Pietras, et al.. (2017). Agonistic targeting of TLR1/TLR2 induces p38 MAPK-dependent apoptosis and NFκB-dependent differentiation of AML cells. Blood Advances. 1(23). 2046–2057. 36 indexed citations
8.
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
9.
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
10.
Askmyr, Maria, Helena Ågerstam, Henrik Lilljebjörn, et al.. (2014). Modeling chronic myeloid leukemia in immunodeficient mice reveals expansion of aberrant mast cells and accumulation of pre-B cells. Blood Cancer Journal. 4(12). e269–e269. 11 indexed citations
11.
Chapellier, Marion, et al.. (2014). Toll-like Receptor 1 Is a Candidate Therapeutic Target in Acute Myeloid Leukemia. Blood. 124(21). 5782–5782. 5 indexed citations
12.
Chapellier, Marion, et al.. (2014). Interleukin-4 Is a Negative Regulator of Acute Myeloid Leukemia Cells. Blood. 124(21). 2146–2146.
13.
Askmyr, Maria, Helena Ågerstam, Henrik Lilljebjörn, et al.. (2014). Modeling Chronic Myeloid Leukemia in Immunodeficient Mice Reveals an Inflammatory State with Expansion of Aberrant Mast Cells and Accumulation of Pre B Cells. Blood. 124(21). 3132–3132. 1 indexed citations
14.
Hansen, Nils, Kristian Reckzeh, Helena Ågerstam, et al.. (2013). Upregulation Of IL1RAP On Human Progenitor/Stem Cells Induces Features Of a Myeloproliferative Disorder In Mice. Blood. 122(21). 1650–1650. 1 indexed citations
15.
Högberg, Carl, Olof Gidlöf, Francesca Deflorian, et al.. (2012). Farnesyl pyrophosphate is an endogenous antagonist to ADP-stimulated P2Y12 receptor-mediated platelet aggregation. Thrombosis and Haemostasis. 108(7). 119–132. 10 indexed citations
16.
Högberg, Carl, et al.. (2010). Succinate independently stimulates full platelet activation via cAMP and phosphoinositide 3‐kinase‐β signaling. Journal of Thrombosis and Haemostasis. 9(2). 361–372. 46 indexed citations
17.
Högberg, Carl, et al.. (2009). The reversible oral P2Y12 antagonist AZD6140 inhibits ADP-induced contractions in murine and human vasculature. International Journal of Cardiology. 142(2). 187–192. 46 indexed citations
18.
Högberg, Carl, David Erlinge, & Oscar Ö. Braun. (2009). Mild hypothermia does not attenuate platelet aggregation and may even increase ADP-stimulated platelet aggregation after clopidogrel treatment. Thrombosis Journal. 7(1). 2–2. 37 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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