Maria Nyåkern

717 total citations
11 papers, 585 citations indexed

About

Maria Nyåkern is a scholar working on Molecular Biology, Surgery and Hematology. According to data from OpenAlex, Maria Nyåkern has authored 11 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Hematology. Recurrent topics in Maria Nyåkern's work include Coronary Interventions and Diagnostics (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Acute Myeloid Leukemia Research (3 papers). Maria Nyåkern is often cited by papers focused on Coronary Interventions and Diagnostics (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Acute Myeloid Leukemia Research (3 papers). Maria Nyåkern collaborates with scholars based in Italy, United States and France. Maria Nyåkern's co-authors include Alberto M. Martelli, Camilla Evangelisti, Lucio Cocco, Pier Luigi Tazzari, Giovanna Tabellini, Roberta Bortul, Irina Mantovani, Alessandra Cappellini, Francesco A. Manzoli and Giovanni Martinelli and has published in prestigious journals such as Blood, Journal of the American College of Cardiology and Leukemia.

In The Last Decade

Maria Nyåkern

10 papers receiving 574 citations

Peers

Maria Nyåkern
Comparison fields: 5 of 73
  • Molecular Biology 426
  • Hematology 173
  • Oncology 82
  • Cancer Research 62
  • Genetics 55
Replace Rene Pagila with:
Rene Pagila United States
Nina Kurrle Germany
Huiying Zhi United States
Ruo-Pan Huang United States
Susanne Vejda Austria
Daniela Di Marcantonio United States
Thomas G. Johnson Australia
Anagha Inguva Sheth United States
Sine Godiksen Denmark
Tatiana Vignudelli Italy
Rene Pagila United States View profile →
Citations per field, relative to Maria Nyåkern
Maria Nyåkern · 1×
Citations per year, relative to Maria Nyåkern
Maria Nyåkern · 1×

Countries citing papers authored by Maria Nyåkern

Since Specialization
Citations

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

Fields of papers citing papers by Maria Nyåkern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Nyåkern

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Nyåkern. A scholar is included among the top collaborators of Maria Nyåkern 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 Nyåkern. Maria Nyåkern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
# Work Indexed citations
1 9
2 40
3 4
4 1
5 1
6 71
7 274
8 80
9 85
10 1
11
Mutational analysis of arginine 177 in the nucleotide binding site of beta-actin.
19

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026