Maria Askmyr

33 total papers · 1.2k total citations
23 papers, 799 citations indexed

About

Maria Askmyr is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Maria Askmyr has authored 23 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Hematology and 10 papers in Oncology. Recurrent topics in Maria Askmyr's work include Chronic Myeloid Leukemia Treatments (8 papers), Bone Metabolism and Diseases (8 papers) and Acute Myeloid Leukemia Research (5 papers). Maria Askmyr is often cited by papers focused on Chronic Myeloid Leukemia Treatments (8 papers), Bone Metabolism and Diseases (8 papers) and Acute Myeloid Leukemia Research (5 papers). Maria Askmyr collaborates with scholars based in Sweden, Australia and Germany. Maria Askmyr's co-authors include Johan Richter, Thoas Fioretos, Marianne Rissler, Louise E. Purton, Helena Ågerstam, Marcus Järås, Natalie A. Sims, T. John Martin, Sofia von Palffy and Nils Hansen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Maria Askmyr

21 papers receiving 791 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 Askmyr 382 311 205 203 158 23 799
Marianne Rissler 550 1.4× 320 1.0× 209 1.0× 217 1.1× 325 2.1× 31 1.0k
Juan A. Castillejo 367 1.0× 552 1.8× 139 0.7× 116 0.6× 153 1.0× 17 904
Lars Klemm 219 0.6× 422 1.4× 186 0.9× 181 0.9× 245 1.6× 34 808
MO Diaz 494 1.3× 443 1.4× 197 1.0× 183 0.9× 301 1.9× 22 929
Jeroen G. te Marvelde 619 1.6× 363 1.2× 201 1.0× 239 1.2× 231 1.5× 20 1.0k
Traudl Henn 492 1.3× 427 1.4× 151 0.7× 181 0.9× 190 1.2× 21 1.0k
Victoria Grandage 471 1.2× 492 1.6× 176 0.9× 92 0.5× 262 1.7× 16 924
Paul Virgo 572 1.5× 283 0.9× 145 0.7× 123 0.6× 280 1.8× 23 907
Simon Bomken 234 0.6× 373 1.2× 365 1.8× 143 0.7× 201 1.3× 32 955
Dorie Sher 327 0.9× 373 1.2× 300 1.5× 198 1.0× 114 0.7× 29 1.0k

Countries citing papers authored by Maria Askmyr

Since Specialization
Citations

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

Fields of papers citing papers by Maria Askmyr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Askmyr

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Askmyr. A scholar is included among the top collaborators of Maria Askmyr 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 Askmyr. Maria Askmyr 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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