Pirjo Nuutila

34.1k citations
458 papers · 25.1k indexed · 6 hit papers · h-index 78
Topics
Adipose Tissue and Metabolism (91 papers)Cardiovascular Function and Risk Factors (79 papers)Diet and metabolism studies (72 papers)
Partner nations
FinlandItalySweden

In The Last Decade

Pirjo Nuutila

450 papers receiving 24.7k citations

Hit Papers

Beige Adipocytes Are a Distinct Type of Thermogenic Fat C...20092026201420202012200920182011201350010001.5k2.0k2.5k

Peers

Pirjo Nuutila
Comparison fields: 5 of 178
  • Physiology 12.2k
  • Cardiology and Cardiovascular Medicine 6.9k
  • Epidemiology 6.1k
  • Molecular Biology 4.5k
  • Surgery 4.4k
Replace Costantino Iadecola with:
Costantino Iadecola United States
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Pirjo Nuutila relative to Costantino Iadecola United States Costantino Iadecola's profile →
Citations per field
00.5×2.5×
Costantino Iadecola · 1×
Citations per year

Countries citing papers authored by Pirjo Nuutila

Since Specialization
Citations

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

Fields of papers citing papers by Pirjo Nuutila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pirjo Nuutila

This figure shows the co-authorship network connecting the top 25 collaborators of Pirjo Nuutila. A scholar is included among the top collaborators of Pirjo Nuutila 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 Pirjo Nuutila. Pirjo Nuutila 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 1
2 3
3 1
4 1
5 5
6 23
7
Evaluation of glucagon-like peptide-1 receptor expression in nondiabetic and diabetic atherosclerotic mice using PET tracer Ga-68-NODAGA-exendin-4
1
8 45
9
The circadian gene Cryptochrome 2 influences stress-induced brain activity and depressive-like behavior in mice
1
10 31
11 5
12 13
13 30
14 27
15 51
16 17
17 150
18 186
19 58
20 181

About Pirjo Nuutila

Pirjo Nuutila is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Complementary and alternative medicine, having authored 458 papers that have together received 25.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (91 papers), Cardiovascular Function and Risk Factors (79 papers) and Diet and metabolism studies (72 papers). The work is most often cited by research in Physiology (12.2k citations), Cardiology and Cardiovascular Medicine (6.9k citations) and Rehabilitation (2.0k citations). Pirjo Nuutila has collaborated with scholars based in Finland, Italy and Sweden. Frequent co-authors include Juhani Knuuti, Kirsi A. Virtanen, Sven Enerbäck, Kari K. Kalliokoski, Riitta Parkkola, Patricia Iozzo, Martin E. Lidell, Vesa Oikonen, Janne Orava and Markku Taittonen. Their work appears in journals such as New England Journal of Medicine, Cell and JAMA.

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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