Maria Åström

572 total citations
22 papers, 306 citations indexed

About

Maria Åström is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Maria Åström has authored 22 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 9 papers in Public Health, Environmental and Occupational Health and 6 papers in Genetics. Recurrent topics in Maria Åström's work include Acute Lymphoblastic Leukemia research (9 papers), Acute Myeloid Leukemia Research (7 papers) and Chronic Myeloid Leukemia Treatments (6 papers). Maria Åström is often cited by papers focused on Acute Lymphoblastic Leukemia research (9 papers), Acute Myeloid Leukemia Research (7 papers) and Chronic Myeloid Leukemia Treatments (6 papers). Maria Åström collaborates with scholars based in Sweden, United States and Norway. Maria Åström's co-authors include Ulf Tidefelt, Lennart Bodin, Karin Karlsson, Inga‐Lena Nilsson, Heléne Hallböök, Piotr B. Kozlowski, L. Bodin, Per Bernell, Anders Wåhlin and Dick Stockelberg and has published in prestigious journals such as Blood, European Heart Journal and British Journal of Cancer.

In The Last Decade

Maria Åström

22 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Åström Sweden 11 217 152 81 68 65 22 306
Shu‐Huey Chen Taiwan 11 219 1.0× 113 0.7× 51 0.6× 65 1.0× 93 1.4× 29 333
Nosha Farhadfar United States 11 188 0.9× 93 0.6× 111 1.4× 52 0.8× 67 1.0× 49 318
Boris Labar Croatia 7 286 1.3× 124 0.8× 111 1.4× 42 0.6× 155 2.4× 17 391
E Nagura Japan 10 130 0.6× 80 0.5× 69 0.9× 46 0.7× 76 1.2× 45 274
T. Lipp Germany 6 227 1.0× 117 0.8× 132 1.6× 51 0.8× 64 1.0× 11 299
M.A. Piñán Spain 6 94 0.4× 175 1.2× 71 0.9× 35 0.5× 89 1.4× 8 314
B‐M Frost Sweden 8 78 0.4× 86 0.6× 66 0.8× 28 0.4× 77 1.2× 13 256
Katalin Csordás Hungary 11 76 0.4× 159 1.0× 86 1.1× 31 0.5× 53 0.8× 21 329
Campbell Tiley Australia 10 216 1.0× 40 0.3× 159 2.0× 32 0.5× 78 1.2× 25 351
Sidharth Totadri India 9 82 0.4× 74 0.5× 51 0.6× 62 0.9× 33 0.5× 41 254

Countries citing papers authored by Maria Åström

Since Specialization
Citations

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

Fields of papers citing papers by Maria Åström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Åström

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Åström. A scholar is included among the top collaborators of Maria Åström 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 Maria Åström. Maria Åström 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.
Bergemalm, Daniel, Sofia Ramström, Kjell Hultenby, et al.. (2020). Platelet proteome and function in X−linked thrombocytopenia with thalassemia and <i>in silico</i> comparisons with gray platelet syndrome. Haematologica. 106(11). 2947–2959. 9 indexed citations
2.
Kozlowski, Piotr B., et al.. (2020). Carfilzomib‐induced hemolysis is noticeably common but rarely shows features of thrombotic microangiopathy: A retrospective study. European Journal Of Haematology. 104(6). 588–593. 5 indexed citations
3.
4.
Kozlowski, Piotr B., Lucia Ahlberg, Per Bernell, et al.. (2017). Age but not Philadelphia positivity impairs outcome in older/elderly patients with acute lymphoblastic leukemia in Sweden. European Journal Of Haematology. 99(2). 141–149. 14 indexed citations
5.
6.
Hulegårdh, Erik, Hans Hägglund, Lucia Ahlberg, et al.. (2014). Outcome after HSCT in Philadelphia chromosome positive acute lymphoblastic leukemia in Sweden: a population-based study. Medical Oncology. 31(8). 66–66. 3 indexed citations
7.
Kozlowski, Piotr B., Maria Åström, Lucia Ahlberg, et al.. (2014). High relapse rate of T cell acute lymphoblastic leukemia in adults treated with Hyper‐CVAD chemotherapy in Sweden. European Journal Of Haematology. 92(5). 377–381. 25 indexed citations
8.
Lindgren, Marie, Jan Samuelsson, Lars Nilsson, et al.. (2014). A Retrospective Cohort Study of Interferon-α Therapy in Myeloproliferative Neoplasms; Adverse Events, Thromboembolic Incidence and Causes of Termination of Therapy. Blood. 124(21). 1861–1861. 1 indexed citations
9.
Cario, Holger, Mary Frances McMullin, Celeste Bento, et al.. (2013). Erythrocytosis in children and adolescents-classification, characterization, and consensus recommendations for the diagnostic approach. Pediatric Blood & Cancer. 60(11). 1734–1738. 17 indexed citations
10.
Kozlowski, Piotr B., Maria Åström, Lucia Ahlberg, et al.. (2012). High curability via intensive reinduction chemotherapy and stem cell transplantation in young adults with relapsed acute lymphoblastic leukemia in Sweden 2003-2007. Haematologica. 97(9). 1414–1421. 19 indexed citations
11.
Merup, Mats, et al.. (2012). [X-linked thrombocytopenia with thalassemia in two families in Sweden. Consider hereditary causes of thrombocytopenia and bone marrow fibrosis].. PubMed. 109(34-35). 1474–7. 3 indexed citations
12.
Nahi, Hareth, H Hägglund, Tomas Ahlgren, et al.. (2008). An investigation into whether deletions in 9p reflect prognosis in adult precursor B-cell acute lymphoblastic leukemia: a multi-center study of 381 patients. Haematologica. 93(11). 1734–1738. 15 indexed citations
13.
Juliusson, Gunnar, Rolf Billström, Astrid Gruber, et al.. (2005). Attitude towards remission induction for elderly patients with acute myeloid leukemia influences survival. Leukemia. 20(1). 42–47. 66 indexed citations
14.
15.
Åström, Maria, et al.. (2003). Evidence for a bimodal relation between serum lysozyme and prognosis in 232 patients with acute myeloid leukaemia. European Journal Of Haematology. 70(1). 26–33. 9 indexed citations
16.
Åström, Maria, Lennart Bodin, & Ulf Tidefelt. (2001). Adjustment of Incidence Rates after an Estimate of Completeness and Accuracy in Registration of Acute Leukemias in a Swedish Population. Leukemia & lymphoma. 41(5-6). 559–570. 30 indexed citations
17.
Åström, Maria, et al.. (2000). Treatment, long-term outcome and prognostic variables in 214 unselected AML patients in Sweden. British Journal of Cancer. 82(8). 1387–1392. 23 indexed citations
18.
Åström, Maria, et al.. (1998). Differences in CD14 and α-naphthyl acetate esterase positivity and relation to prognosis in AML. Leukemia Research. 22(1). 25–30. 7 indexed citations
19.
Landin, Britta & Maria Åström. (1993). Unstable haemoglobin causing haemolytic anaemia: de novo mutation in Sweden identified by PCR. Journal of Internal Medicine. 233(3). 299–302. 2 indexed citations
20.
Åström, Maria, O Edhag, O. Nyquist, & H Vallin. (1986). Haemodynamic effects of intravenous sotalol in acute myocardial infarction. European Heart Journal. 7(11). 931–936. 10 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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