Jukka Hakkola

6.6k citations
93 papers · 5.2k indexed · 1 hit paper · h-index 44
Topics
Pharmacogenetics and Drug Metabolism (48 papers)Drug Transport and Resistance Mechanisms (23 papers)Hormonal Regulation and Hypertension (18 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Jukka Hakkola

93 papers receiving 5.0k citations

Hit Papers

Inhibition and induction of CYP enzymes in humans: an update2020202620222024202050100150200250

Peers

Jukka Hakkola
Comparison fields: 5 of 134
  • Pharmacology 2.1k
  • Molecular Biology 1.6k
  • Oncology 1.1k
  • Pediatrics, Perinatology and Child Health 699
  • Cancer Research 597
Replace Petr Pávek with:
Petr Pávek Czechia
Markku Pasanen Finland
Bernard Fromenty France
Charles N. Falany United States
Michael W.H. Coughtrie United Kingdom
Toshifumi Aoyama Japan
Miki Nakajima Japan
Anup Ramachandran United States
F. Berthou France
Hannu Raunio Finland
Jukka Hakkola relative to Petr Pávek Czechia Petr Pávek's profile →
Citations per field
00.5×1.5×2.3×
Petr Pávek · 1×
Citations per year

Countries citing papers authored by Jukka Hakkola

Since Specialization
Citations

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

Fields of papers citing papers by Jukka Hakkola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jukka Hakkola

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 3
3 13
4
Pregnane X receptor‒4β‐hydroxycholesterol axis in the regulation of overweight‐ and obesity‐induced hypertension
7
5 51
6 16
7 52
8 75
9 37
10 62
11 16
12 14
13 99
14 245
15 4
16 179
17 49
18 134
19 172
20 25

About Jukka Hakkola

Jukka Hakkola is a scholar working on Pharmacology, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 93 papers that have together received 5.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (48 papers), Drug Transport and Resistance Mechanisms (23 papers) and Hormonal Regulation and Hypertension (18 papers). The work is most often cited by research in Pharmacology (2.1k citations), Geriatrics and Gerontology (204 citations) and Biochemistry (366 citations). Jukka Hakkola has collaborated with scholars based in Finland, Sweden and United States. Frequent co-authors include Olavi Pelkonen, Hannu Raunio, Janne Hukkanen, Miia Turpeinen, Marcin Buler, Markku Pasanen, Paavo Honkakoski, Sisko Anttila, Jaana Rysä and Alan R. Boobis. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

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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