Sari Mäkelä

10.4k total citations · 2 hit papers
108 papers, 8.2k citations indexed

About

Sari Mäkelä is a scholar working on Genetics, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Sari Mäkelä has authored 108 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Genetics, 36 papers in Pathology and Forensic Medicine and 30 papers in Molecular Biology. Recurrent topics in Sari Mäkelä's work include Estrogen and related hormone effects (47 papers), Phytoestrogen effects and research (34 papers) and Hormonal and reproductive studies (18 papers). Sari Mäkelä is often cited by papers focused on Estrogen and related hormone effects (47 papers), Phytoestrogen effects and research (34 papers) and Hormonal and reproductive studies (18 papers). Sari Mäkelä collaborates with scholars based in Finland, Sweden and United States. Sari Mäkelä's co-authors include Jan-Ακε Gustafsson, Risto Santti, Margaret Warner, Niina Saarinen, Stefan Nilsson, Eckardt Treuter, Katarina Pettersson, Jane S. Thomsen, Eva Enmark and Michel Tujague and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physiological Reviews and PLoS ONE.

In The Last Decade

Sari Mäkelä

107 papers receiving 8.0k citations

Hit Papers

Mechanisms of Estrogen Action 2001 2026 2009 2017 2001 2015 500 1000 1.5k

Peers

Sari Mäkelä
Comparison fields: 5 of 156
  • Genetics 4.0k
  • Molecular Biology 2.8k
  • Pathology and Forensic Medicine 1.5k
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Oncology 1.3k
Replace Stefan Nilsson with:
Stefan Nilsson Sweden
Jan-Åke Gustafsson Sweden
Bo Carlsson Sweden
Marcello Maggiolini Italy
V. Craig Jordan United States
Karin Dahlman‐Wright Sweden
Mahnaz Razandi United States
Sebastiano Andò Italy
Claude Labrie Canada
James D. Yager United States
Stefan Nilsson Sweden View profile →
Citations per field, relative to Sari Mäkelä
Sari Mäkelä · 1×
Citations per year, relative to Sari Mäkelä
Sari Mäkelä · 1×

Countries citing papers authored by Sari Mäkelä

Since Specialization
Citations

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

Fields of papers citing papers by Sari Mäkelä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sari Mäkelä

This figure shows the co-authorship network connecting the top 25 collaborators of Sari Mäkelä. A scholar is included among the top collaborators of Sari Mäkelä 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 Sari Mäkelä. Sari Mäkelä 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
# Work Indexed citations
1 18
2 30
3 31
4 33
5 38
6 32
7 115
8 28
9
In vitro proliferation assays do not fully predict the MCF-7 tumor growth response to lignan lariciresinol in vivo
3
10 28
11 17
12 80
13 138
14 39
15 109
16 17
17 23
18 205
19 106
20 70

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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