Marika Häkli

14 total papers · 708 total citations
13 papers, 596 citations indexed

About

Marika Häkli is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Marika Häkli has authored 13 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Oncology. Recurrent topics in Marika Häkli's work include Ubiquitin and proteasome pathways (4 papers), Estrogen and related hormone effects (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Marika Häkli is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Estrogen and related hormone effects (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Marika Häkli collaborates with scholars based in Finland, United States and Czechia. Marika Häkli's co-authors include Jorma J. Palvimo, Ulla Karvonen, Olli A. Jänne, Anu‐Maarit Moilanen, Hetti Poukka, Arto Urtti, Kati‐Sisko Vellonen, Timo Tervo, Nathalie Rouleau and Noora Kotaja and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and FEBS Letters.

In The Last Decade

Marika Häkli

13 papers receiving 586 citations

Author Peers

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

Author						Papers	Cites
Marika Häkli	394	191	154	87	59	13	596
Ahmed Atef Ibrahim	284 0.7×	139 0.7×	137 0.9×	50 0.6×	29 0.5×	19	535
Mauricio Rojas	335 0.9×	211 1.1×	80 0.5×	89 1.0×	71 1.2×	14	667
Sandra Livingston	282 0.7×	124 0.6×	294 1.9×	73 0.8×	39 0.7×	18	645
Angelita G. Utleg	443 1.1×	67 0.4×	77 0.5×	95 1.1×	35 0.6×	10	647
W E Grizzle	353 0.9×	258 1.4×	174 1.1×	67 0.8×	52 0.9×	19	681
Lynne V. Nazareth	295 0.7×	235 1.2×	66 0.4×	271 3.1×	179 3.0×	7	570
Terry L. Woodward	222 0.6×	194 1.0×	223 1.4×	36 0.4×	74 1.3×	16	527
Federica Barchiesi	162 0.4×	187 1.0×	71 0.5×	58 0.7×	138 2.3×	13	557
Magid Fallahi	413 1.0×	60 0.3×	209 1.4×	48 0.6×	20 0.3×	14	651
L. F. WEST	323 0.8×	128 0.7×	55 0.4×	24 0.3×	19 0.3×	21	543

Countries citing papers authored by Marika Häkli

Since Specialization

Citations

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

Fields of papers citing papers by Marika Häkli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marika Häkli

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