Petri Pehkonen

1.2k citations
19 papers · 958 indexed · h-index 12
Topics
Gene expression and cancer classification (8 papers)Bioinformatics and Genomic Networks (6 papers)Machine Learning in Bioinformatics (3 papers)

In The Last Decade

Petri Pehkonen

18 papers receiving 932 citations

Peers

Petri Pehkonen
Comparison fields: 5 of 90
  • Molecular Biology 501
  • Immunology 261
  • Pathology and Forensic Medicine 177
  • Genetics 159
  • Oncology 142
Replace Dimitry A. Chistiakov with:
Dimitry A. Chistiakov Russia
Håvard Aanes Norway
Sang Y. Chun United States
Alex Tsafriri Israel
Shun Sawatsubashi Japan
Hanqing Lin China
Douglas H. Sieglaff United States
Wan-Xi Yang China
Seng H. Liew Australia
Yi-Fang Wang China
Petri Pehkonen relative to Dimitry A. Chistiakov Russia Dimitry A. Chistiakov's profile →
Citations per field
00.5×6.3×
Dimitry A. Chistiakov · 1×
Citations per year

Countries citing papers authored by Petri Pehkonen

Since Specialization
Citations

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

Fields of papers citing papers by Petri Pehkonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petri Pehkonen

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 6
2 16
3 12
4 53
5 17
6 62
7 1
8 182
9 16
10 0
11 1
12 4
13 235
14
Methods for Mining Data from Genome Wide High-Throughput Technologies
9
15 57
16 9
17 43
18 122
19 113

About Petri Pehkonen

Petri Pehkonen is a scholar working on Aging, Aquatic Science and Dermatology, having authored 19 papers that have together received 958 indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (6 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Aging (37 citations), Immunology (261 citations) and Aquatic Science (86 citations). Petri Pehkonen has collaborated with scholars based in Finland, United States and Russia. Frequent co-authors include Carsten Carlberg, Sami Heikkinen, Miia M. Rytinki, Jorma J. Palvimo, Sabine Seuter, Tiina Jääskeläinen, Sanna Kaikkonen, Heikki Koskinen, Hannu Mölsä and Caird E. Rexroad. Their work appears in journals such as Nucleic Acids Research, Biochemical and Biophysical Research Communications and Cellular and Molecular Life Sciences.

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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