Tom Erkers

994 total citations
30 papers, 753 citations indexed

About

Tom Erkers is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, Tom Erkers has authored 30 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 12 papers in Genetics and 11 papers in Immunology. Recurrent topics in Tom Erkers's work include Acute Myeloid Leukemia Research (9 papers), Mesenchymal stem cell research (9 papers) and Hematopoietic Stem Cell Transplantation (8 papers). Tom Erkers is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Mesenchymal stem cell research (9 papers) and Hematopoietic Stem Cell Transplantation (8 papers). Tom Erkers collaborates with scholars based in Sweden, United States and Finland. Tom Erkers's co-authors include Silvia Nava, Helen Kaipe, Olle Ringdén, Magnus Westgren, Jonas Mattsson, Helén Karlsson, Mehmet Uzunel, Erik Iwarsson, Behnam Sadeghi and Laia Gorchs and has published in prestigious journals such as Nature Communications, Blood and Scientific Reports.

In The Last Decade

Tom Erkers

30 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Erkers Sweden 16 296 293 216 146 130 30 753
Helen Kaipe Sweden 18 448 1.5× 249 0.8× 111 0.5× 196 1.3× 129 1.0× 32 930
Agnès Basire France 14 204 0.7× 67 0.2× 153 0.7× 334 2.3× 98 0.8× 30 737
Ana Pilar González Spain 17 491 1.7× 258 0.9× 109 0.5× 164 1.1× 67 0.5× 45 1.0k
Cyrus Sayehli Germany 14 245 0.8× 78 0.3× 62 0.3× 218 1.5× 81 0.6× 37 831
Anna Mestice Italy 17 152 0.5× 227 0.8× 554 2.6× 275 1.9× 44 0.3× 39 870
Sietse Q. Nagelkerke Netherlands 17 512 1.7× 97 0.3× 197 0.9× 291 2.0× 54 0.4× 34 930
Kuo‐Liang Yang Taiwan 20 1.1k 3.6× 151 0.5× 289 1.3× 157 1.1× 114 0.9× 335 1.4k
Fethi Guémira Tunisia 12 331 1.1× 103 0.4× 189 0.9× 453 3.1× 55 0.4× 54 1.0k
Natalie Papazian Netherlands 15 1.1k 3.8× 85 0.3× 260 1.2× 267 1.8× 486 3.7× 26 1.5k
Rongqun Guo China 13 253 0.9× 44 0.2× 108 0.5× 258 1.8× 62 0.5× 22 635

Countries citing papers authored by Tom Erkers

Since Specialization
Citations

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

Fields of papers citing papers by Tom Erkers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Erkers

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Erkers. A scholar is included among the top collaborators of Tom Erkers 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 Tom Erkers. Tom Erkers 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.
Vesterlund, Mattias, Tojo James, Georgios Mermelekas, et al.. (2024). Delineating functional and molecular impact of ex vivo sample handling in precision medicine. npj Precision Oncology. 8(1). 38–38. 2 indexed citations
2.
Erkers, Tom, Päivi Östling, Mattias Vesterlund, et al.. (2024). Pathway activation model for personalized prediction of drug synergy. eLife. 13. 1 indexed citations
3.
Aswad, Luay, Ann‐Charlotte Björklund, Mats Heyman, et al.. (2024). Targeting autophagy as a therapeutic strategy in pediatric acute lymphoblastic leukemia. Scientific Reports. 14(1). 4000–4000. 1 indexed citations
4.
Pawitan, Yudi, Tom Erkers, Päivi Östling, et al.. (2023). Prediction model for drug response of acute myeloid leukemia patients. npj Precision Oncology. 7(1). 32–32. 6 indexed citations
5.
Rosenquist, Richard, Elsa Bernard, Tom Erkers, et al.. (2023). Novel precision medicine approaches and treatment strategies in hematological malignancies. Journal of Internal Medicine. 294(4). 413–436. 22 indexed citations
6.
Pérez-Cruz, Magdiel, Bettina P. Iliopoulou, Hsin‐Hsu Wu, et al.. (2022). Immunoregulatory effects of RGMb in gut inflammation. Frontiers in Immunology. 13. 960329–960329. 8 indexed citations
7.
Aswad, Luay, Matthias Stahl, Elena Kunold, et al.. (2022). Integrative multi-omics and drug response profiling of childhood acute lymphoblastic leukemia cell lines. Nature Communications. 13(1). 1691–1691. 30 indexed citations
8.
Bengtzén, Sofia, Sören Lehmann, Olli Kallioniemi, et al.. (2022). Comparison of Data from Fresh and Frozen AML Samples for Functional Drug Testing. Blood. 140(Supplement 1). 6290–6290. 1 indexed citations
9.
Erkers, Tom, Bryan J. Xie, Mary Rieck, et al.. (2020). High-parametric evaluation of human invariant natural killer T cells to delineate heterogeneity in allo- and autoimmunity. Blood. 135(11). 814–825. 12 indexed citations
10.
Gorchs, Laia, Tom Erkers, Anna‐Carin Lundell, et al.. (2017). MAIT cells accumulate in placental intervillous space and display a highly cytotoxic phenotype upon bacterial stimulation. Scientific Reports. 7(1). 6123–6123. 41 indexed citations
11.
Pierini, Antonio, Bettina P. Iliopoulou, Heshan Peiris, et al.. (2017). T cells expressing chimeric antigen receptor promote immune tolerance. JCI Insight. 2(20). 80 indexed citations
12.
Erkers, Tom, Laia Gorchs, Thomas Poiret, et al.. (2017). Mucosal-Associated Invariant T Cells Display a Poor Reconstitution and Altered Phenotype after Allogeneic Hematopoietic Stem Cell Transplantation. Frontiers in Immunology. 8. 1861–1861. 21 indexed citations
13.
Erkers, Tom, Arwen Stikvoort, & Michael Uhlin. (2017). Lymphocytes in Placental Tissues: Immune Regulation and Translational Possibilities for Immunotherapy. Stem Cells International. 2017. 1–17. 16 indexed citations
14.
Kaipe, Helen, Tom Erkers, Silvia Nava, et al.. (2015). Immunogenicity of Decidual Stromal Cells in an Epidermolysis Bullosa Patient and in Allogeneic Hematopoietic Stem Cell Transplantation Patients. Stem Cells and Development. 24(12). 1471–1482. 17 indexed citations
15.
Kaipe, Helen, Tom Erkers, Behnam Sadeghi, & Olle Ringdén. (2014). Stromal cells–are they really useful for GVHD?. Bone Marrow Transplantation. 49(6). 737–743. 30 indexed citations
16.
Erkers, Tom, Helen Kaipe, Silvia Nava, et al.. (2014). Treatment of Severe Chronic Graft-Versus-Host Disease with Decidual Stromal Cells and Tracing with 111 Indium Radiolabeling. Stem Cells and Development. 24(2). 253–263. 45 indexed citations
17.
Törlén, Johan, Olle Ringdén, Jennifer Le Rademacher, et al.. (2014). Low CD34 Dose Is Associated with Poor Survival after Reduced-Intensity Conditioning Allogeneic Transplantation for Acute Myeloid Leukemia and Myelodysplastic Syndrome. Biology of Blood and Marrow Transplantation. 20(9). 1418–1425. 34 indexed citations
18.
Erkers, Tom, et al.. (2013). Decidual Stromal Cells Promote Regulatory T Cells and Suppress Alloreactivity in a Cell Contact-Dependent Manner. Stem Cells and Development. 22(19). 2596–2605. 72 indexed citations
19.
Wang, Jingjing, et al.. (2013). Capture and separation of biomolecules using magnetic beads in a simple microfluidic channel without an external flow device. The Analyst. 138(21). 6573–6573. 12 indexed citations
20.
Karlsson, Helén, et al.. (2011). Stromal cells from term fetal membrane are highly suppressive in allogeneic settings in vitro. Clinical & Experimental Immunology. 167(3). 543–555. 79 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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