Jørn Skavland

724 total citations
26 papers, 478 citations indexed

About

Jørn Skavland is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Jørn Skavland has authored 26 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Hematology and 10 papers in Immunology. Recurrent topics in Jørn Skavland's work include Acute Myeloid Leukemia Research (12 papers), Single-cell and spatial transcriptomics (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Jørn Skavland is often cited by papers focused on Acute Myeloid Leukemia Research (12 papers), Single-cell and spatial transcriptomics (5 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Jørn Skavland collaborates with scholars based in Norway, France and United States. Jørn Skavland's co-authors include Bjørn Tore Gjertsen, Øystein Bruserud, Elisabeth Ersvær, Randi Hovland, Knut Liseth, Sonia Gavasso, Emmet McCormack, Håkon Reikvam, Per Ole Iversen and Helge Wiig and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jørn Skavland

25 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jørn Skavland Norway 14 233 147 143 86 36 26 478
Sarmila Chandra India 17 442 1.9× 153 1.0× 159 1.1× 81 0.9× 116 3.2× 35 816
Sarah Mackenzie United States 12 408 1.8× 52 0.4× 56 0.4× 116 1.3× 22 0.6× 20 628
André Sulen Norway 10 232 1.0× 46 0.3× 81 0.6× 44 0.5× 11 0.3× 27 393
Hideki Ohnota Japan 16 189 0.8× 70 0.5× 59 0.4× 46 0.5× 20 0.6× 26 509
Dawn Dufield United States 13 291 1.2× 32 0.2× 97 0.7× 58 0.7× 14 0.4× 21 603
Grzegorz Stasiłojć Poland 12 201 0.9× 32 0.2× 134 0.9× 78 0.9× 13 0.4× 33 497
Szu-Yu Kuo Taiwan 10 228 1.0× 28 0.2× 80 0.6× 54 0.6× 21 0.6× 15 497
Shan‐Liang Sun China 13 311 1.3× 52 0.4× 67 0.5× 117 1.4× 40 1.1× 37 465
Jingnan Huang China 14 217 0.9× 112 0.8× 30 0.2× 49 0.6× 6 0.2× 32 445
Kamila Balušíková Czechia 14 187 0.8× 64 0.4× 23 0.2× 104 1.2× 27 0.8× 20 462

Countries citing papers authored by Jørn Skavland

Since Specialization
Citations

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

Fields of papers citing papers by Jørn Skavland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jørn Skavland

This figure shows the co-authorship network connecting the top 25 collaborators of Jørn Skavland. A scholar is included among the top collaborators of Jørn Skavland 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 Jørn Skavland. Jørn Skavland 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.
Zhou, Fan, et al.. (2023). Dynamics of circulating lymphocytes responding to human experimental enterotoxigenic Escherichia coli infection. European Journal of Immunology. 53(8). e2250254–e2250254. 4 indexed citations
2.
Thomsen, Liv Cecilie Vestrheim, Tamim Abdelaal, Jørn Skavland, et al.. (2021). Phenotypic Characterization by Mass Cytometry of the Microenvironment in Ovarian Cancer and Impact of Tumor Dissociation Methods. Cancers. 13(4). 755–755. 6 indexed citations
3.
Robertson, Joseph, M. Carmen Herrera, Tobias Gedde‐Dahl, et al.. (2020). A cell competition–based small molecule screen identifies a novel compound that induces dual c-Myc depletion and p53 activation. Journal of Biological Chemistry. 296. 100179–100179. 6 indexed citations
4.
Skavland, Jørn, et al.. (2019). Whole blood preservation methods alter chemokine receptor detection in mass cytometry experiments. Journal of Immunological Methods. 476. 112673–112673. 14 indexed citations
5.
Hellesøy, Monica, et al.. (2019). Titrating Complex Mass Cytometry Panels. Cytometry Part A. 95(7). 792–796. 14 indexed citations
6.
Blaser, Nello, Monica Hellesøy, Jørn Skavland, et al.. (2018). A 36-Dimensional Cytometry by Time of Flight (CyTOF) Analysis of De Novo Acute Myeloid Leukemia (AML) Patients Eligible for Intensive Chemotherapy. Blood. 132(Supplement 1). 1502–1502. 1 indexed citations
7.
Sulen, André, et al.. (2016). Signaling effects of sodium hydrosulfide in healthy donor peripheral blood mononuclear cells. Pharmacological Research. 113(Pt A). 216–227. 14 indexed citations
8.
Hellesøy, Monica, Håkon Reikvam, Sonja Loges, et al.. (2016). Single Cell Signaling Pharmacodynamics in a Phase 1b Trial of the Axl Inhibitor BGB324 in Acute Myeloid Leukemia. Blood. 128(22). 3995–3995. 1 indexed citations
10.
Gausdal, Gro, Jørn Skavland, Éric Nguyen, et al.. (2013). Cyclic AMP can promote APL progression and protect myeloid leukemia cells against anthracycline-induced apoptosis. Cell Death and Disease. 4(2). e516–e516. 24 indexed citations
11.
Skavland, Jørn, Håkon Reikvam, Øystein Bruserud, & Bjørn Tore Gjertsen. (2013). Survival Stratification In Acute Myeloid Leukemia By Single Cell Signal Profiling. Blood. 122(21). 2625–2625. 1 indexed citations
12.
Reikvam, Håkon, Kimberley Joanne Hatfield, Elisabeth Ersvær, et al.. (2011). Expression profile of heat shock proteins in acute myeloid leukaemia patients reveals a distinct signature strongly associated with FLT3 mutation status – consequences and potentials for pharmacological intervention. British Journal of Haematology. 156(4). 468–480. 38 indexed citations
13.
Skavland, Jørn, et al.. (2011). In vitro screening for putative psoriasis-specific antigens among wheat proteins and peptides. British Journal of Dermatology. 166(1). 67–73. 6 indexed citations
15.
Øye, O. K., Pål Puntervoll, Håkon Reikvam, et al.. (2010). Untangling the intracellular signalling network in cancer — A strategy for data integration in acute myeloid leukaemia. Journal of Proteomics. 74(3). 269–281. 4 indexed citations
16.
McCormack, Emmet, et al.. (2010). Lentinan: Hematopoietic, Immunological, and Efficacy Studies in a Syngeneic Model of Acute Myeloid Leukemia. Nutrition and Cancer. 62(5). 574–583. 28 indexed citations
17.
Ersvær, Elisabeth, Knut Liseth, Jørn Skavland, Bjørn Tore Gjertsen, & Øystein Bruserud. (2010). Intensive chemotherapy for acute myeloid leukemia differentially affects circulating TC1, TH1, TH17 and TREG cells. BMC Immunology. 11(1). 38–38. 62 indexed citations
19.
Ersvær, Elisabeth, Jørn Skavland, Elling Ulvestad, Bjørn Tore Gjertsen, & Øystein Bruserud. (2006). Effects of interferon gamma on native human acute myelogenous leukaemia cells. Cancer Immunology Immunotherapy. 56(1). 13–24. 27 indexed citations
20.
Irish, Jonathan M., Nina Ånensen, Randi Hovland, et al.. (2006). Flt3 Y591 duplication and Bcl-2 overexpression are detected in acute myeloid leukemia cells with high levels of phosphorylated wild-type p53. Blood. 109(6). 2589–2596. 59 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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