Jari Häkkinen

3.2k total citations
50 papers, 1.5k citations indexed

About

Jari Häkkinen is a scholar working on Molecular Biology, Cancer Research and Spectroscopy. According to data from OpenAlex, Jari Häkkinen has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 18 papers in Cancer Research and 13 papers in Spectroscopy. Recurrent topics in Jari Häkkinen's work include Advanced Proteomics Techniques and Applications (13 papers), Cancer Genomics and Diagnostics (12 papers) and Bioinformatics and Genomic Networks (9 papers). Jari Häkkinen is often cited by papers focused on Advanced Proteomics Techniques and Applications (13 papers), Cancer Genomics and Diagnostics (12 papers) and Bioinformatics and Genomic Networks (9 papers). Jari Häkkinen collaborates with scholars based in Sweden, United Kingdom and Germany. Jari Häkkinen's co-authors include Åke Borg, Johan Staaf, Markus Ringnér, Erik Fredlund, Johan Vallon‐Christersson, Gösta Gustafson, Lao H. Saal, Martin Malmberg, Cecilia Hegardt and Anna Ehinger and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Jari Häkkinen

49 papers receiving 1.5k citations

Peers

Countries citing papers authored by Jari Häkkinen

Since Specialization

Citations

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

Fields of papers citing papers by Jari Häkkinen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jari Häkkinen

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Improved detection of clinically relevant fusion transcripts in cancer by machine learning classification 2023 ·BMC Genomics ·(unknown), Jari Häkkinen, Malin Larsson, Johan Staaf, Johan Vallon‐Christersson, Helena Persson	1
2	Fast and sensitive validation of fusion transcripts in whole-genome sequencing data 2023 ·BMC Bioinformatics ·(unknown), Jari Häkkinen, Helena Persson	4
3	52P RNA sequencing-based single sample predictors of molecular subtype and risk of recurrence for clinical assessment of early-stage breast cancer 2022 ·Annals of Oncology ·Johan Vallon‐Christersson, Johan Staaf, Jari Häkkinen, Cecilia Hegardt, Lao H. Saal, Anna Ehinger, Catharina Larsson, Niklas Loman, Lisa Rydén, Martin Malmberg, (unknown)	0
4	Preexisting Somatic Mutations of Estrogen Receptor Alpha (ESR1) in Early-Stage Primary Breast Cancer 2021 ·JNCI Cancer Spectrum ·Malin Dahlgren, Anthony M. George, Christian Brueffer, (unknown), Yilun Chen, Johan Vallon‐Christersson, Cecilia Hegardt, Jari Häkkinen, Lisa Rydén, Martin Malmberg, Christer Larsson, Sofia K. Gruvberger-Saal, Anna Ehinger, Niklas Loman, Åke Borg, Lao H. Saal	16
5	Correction to: Molecular analyses of triple-negative breast cancer in the young and elderly 2021 ·Breast Cancer Research ·Mattias Aine, (unknown), Johan Hartman, Jari Häkkinen, Shamik Mitra, Ana Bosch Campos, Emma Niméus, Anna Ehinger, Johan Vallon‐Christersson, Åke Borg, Johan Staaf	2
6	Molecular analyses of triple-negative breast cancer in the young and elderly 2021 ·Breast Cancer Research ·Mattias Aine, (unknown), Johan Hartman, Jari Häkkinen, Shamik Mitra, Ana Bosch Campos, Emma Niméus, Anna Ehinger, Johan Vallon‐Christersson, Åke Borg, Johan Staaf	30
7	The mutational landscape of the SCAN ‐B real‐world primary breast cancer transcriptome 2020 ·EMBO Molecular Medicine ·Christian Brueffer, (unknown), Christof Winter, Johan Vallon‐Christersson, Cecilia Hegardt, Jari Häkkinen, Anthony M. George, Yilun Chen, Anna Ehinger, Christer Larsson, Niklas Loman, Martin Malmberg, Lisa Rydén, Åke Borg, Lao H. Saal	42
8	Analysis of fusion transcripts indicates widespread deregulation of snoRNAs and their host genes in breast cancer 2020 ·International Journal of Cancer ·Helena Persson, Rolf Søkilde, Jari Häkkinen, Johan Vallon‐Christersson, Felix Mitelman, Åke Borg, Mattias Höglund, Carlos Rovira	10
9	Cross comparison and prognostic assessment of breast cancer multigene signatures in a large population-based contemporary clinical series 2019 ·Scientific Reports ·Johan Vallon‐Christersson, Jari Häkkinen, Cecilia Hegardt, Lao H. Saal, Christer Larsson, Anna Ehinger, Henrik Lindman, Helena Olofsson, Tobias Sjöblom, Fredrik Wärnberg, Lisa Rydén, Niklas Loman, Martin Malmberg, Åke Borg, Johan Staaf	36
10	Prediction of Lymph Node Metastasis in Breast Cancer by Gene Expression and Clinicopathological Models: Development and Validation within a Population-Based Cohort 2019 ·Clinical Cancer Research ·(unknown), Johan Vallon‐Christersson, Cecilia Hegardt, Lao H. Saal, Jari Häkkinen, Christer Larsson, Anna Ehinger, Niklas Loman, Martin Malmberg, Pär‐Ola Bendahl, Åke Borg, Johan Staaf, Lisa Rydén	37
11	Frequent miRNA-convergent fusion gene events in breast cancer 2017 ·Nature Communications ·Helena Persson, Rolf Søkilde, Jari Häkkinen, (unknown), Johan Vallon‐Christersson, Anders Kvist, Fredrik Mertens, Åke Borg, Felix Mitelman, Mattias Höglund, Carlos Rovira	26
12	Targeted sequencing of BRCA1 and BRCA2 across a large unselected breast cancer cohort suggests that one-third of mutations are somatic 2016 ·Annals of Oncology ·Christof Winter, Martin Nilsson, Eric Olsson, Anthony M. George, (unknown), Anders Kvist, Therese Törngren, Johan Vallon‐Christersson, Cecilia Hegardt, Jari Häkkinen, Göran Jönsson, Dorthe Grabau, Martin Malmberg, Ulf Kristoffersson, Matilda Rehn, Sofia K. Gruvberger-Saal, Catharina Larsson, Åke Borg, Niklas Loman, Lao H. Saal	105
13	GOBO: Gene Expression-Based Outcome for Breast Cancer Online 2011 ·PLoS ONE ·Markus Ringnér, Erik Fredlund, Jari Häkkinen, Åke Borg, Johan Staaf	332
14	Bioinformatic strategies for unambiguous identification of prostate specific antigen in clinical samples 2011 ·Journal of Proteomics ·Ákos Végvári, Melinda Rezeli, Jari Häkkinen, Carina Sihlbom, Elisabet Carlsohn, Johan Malm, Hans Lilja, Thomas Laurell, György Marko‐Varga	2
15	BASE - 2nd generation software for microarray data management and analysis 2009 ·BMC Bioinformatics ·Johan Vallon‐Christersson, (unknown), (unknown), Jari Häkkinen	39
16	Proteomics Data Collection – 4^th ProDaC Workshop 15 August 2008, Amsterdam, The Netherlands 2008 ·PROTEOMICS ·Martin Eisenacher, Michael Kohl, Lennart Martens, Harald Barsnes, Tanja Hardt, Fredrik Levander, Jari Häkkinen, Rolf Apweiler, Helmut E. Meyer, Christoph Stephan	2
17	Proteomics Data Collection – 2^nd ProDaC Workshop 5 October 2007, Seoul, Korea 2008 ·PROTEOMICS ·Martin Eisenacher, Tanja Hardt, Michael Hamacher, Lennart Martens, Jari Häkkinen, Fredrik Levander, Rolf Apweiler, Helmut E. Meyer, Christoph Stephan	5
18	Automated reporting from gel‐based proteomics experiments using the open source Proteios database application 2007 ·PROTEOMICS ·Fredrik Levander, Morten Krogh, (unknown), (unknown), Peter James, Jari Häkkinen	26
19	Improving missing value imputation of microarray data by using spot quality weights 2006 ·BMC Bioinformatics ·Peter A. Johansson, Jari Häkkinen	21
20	PROTEIOS: an open source proteomics initiative 2005 ·Computer applications in the biosciences ·Po Garden, Ragnar Alm, Jari Häkkinen	25

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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