Jukka Hakkola

6.6k citations
93 papers · 5.2k indexed · 1 hit paper · h-index 44

Jukka Hakkola

93 papers receiving 5.0k citations

Hit Papers

Inhibition and induction of CYP enzymes in humans: an update253202020262022202450100150200250

Peers

Jukka Hakkola
Comparison fields: 5 of 134
  • Pharmacology 2.1k
  • Geriatrics and Gerontology 204
  • Biochemistry 366
  • Oncology 1.1k
  • 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
00.5×2.8×
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

The 25 scholars most cited alongside Jukka Hakkola, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jukka Hakkola Line = papers co-authored together Jukka Hakkola links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20243
3 202313
4
Pregnane X receptor‒4β‐hydroxycholesterol axis in the regulation of overweight‐ and obesity‐induced hypertension
20227
5 202051
6 202016
7 201752
8 201675
9 201337
10 201062
11 200916
12 200714
13 200599
14 2002245
15 20024
16 1998179
17 199849
18 1997134
19 1997172
20 199325

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), Hormonal Regulation and Hypertension (18 papers), Glutathione Transferases and Polymorphisms (17 papers), Adipose Tissue and Metabolism (10 papers), Estrogen and related hormone effects (10 papers), Cholesterol and Lipid Metabolism (8 papers) and Genomics, phytochemicals, and oxidative stress (7 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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