Maria Åström

38 total papers · 567 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 France. Maria Åström's co-authors include Ulf Tidefelt, Lennart Bodin, Karin Karlsson, Inga‐Lena Nilsson, Heléne Hallböök, Piotr B. Kozlowski, Dick Stockelberg, Anders Wåhlin, Per Bernell and L. Bodin 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maria Åström 217 152 81 68 65 22 306
Shu‐Huey Chen 219 1.0× 113 0.7× 51 0.6× 65 1.0× 93 1.4× 29 333
J Bury 159 0.7× 115 0.8× 85 1.0× 47 0.7× 65 1.0× 27 311
T Izzi 220 1.0× 113 0.7× 51 0.6× 80 1.2× 33 0.5× 24 306
Brenda Gibson 196 0.9× 106 0.7× 64 0.8× 42 0.6× 93 1.4× 20 305
Shin Sh 206 0.9× 113 0.7× 85 1.0× 36 0.5× 51 0.8× 23 357
A. M. Testi 254 1.2× 146 1.0× 121 1.5× 43 0.6× 88 1.4× 22 358
Julia Foster 152 0.7× 208 1.4× 152 1.9× 52 0.8× 53 0.8× 17 353
A Marín-López 211 1.0× 126 0.8× 66 0.8× 46 0.7× 35 0.5× 24 321
Yalçın Kímya 123 0.6× 100 0.7× 79 1.0× 37 0.5× 34 0.5× 18 327
Lochie Teague 169 0.8× 97 0.6× 36 0.4× 29 0.4× 49 0.8× 26 322

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

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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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