M Erämaa

980 citations
19 papers · 850 · h-index 14

Impact in

    • TGF-β signaling in diseases
    • Kruppel-like factors research
    • Renal and related cancers
    • Bone Metabolism and Diseases
    • Metabolism, Diabetes, and Cancer

Papers in

M Erämaa

19 papers receiving 816 citations

Peers

M Erämaa
Comparison fields: 5 of 54
  • Molecular Biology 674
  • Reproductive Medicine 64
  • Public Health, Environmental and Occupational Health 184
  • Obstetrics and Gynecology 45
  • Endocrinology, Diabetes and Metabolism 67
Replace Elena Barbacci with:
Elena Barbacci Italy
I McDicken United Kingdom
Her‐Young Su Taiwan
Joachim Alfer Germany
H. A. Hienz Germany
Yuka Wada Japan
P. de Pagter-Holthuizen Netherlands
F Flam Sweden
J.A. Irving Canada
Marek Grabiec Poland
M Erämaa relative to Elena Barbacci Italy Elena Barbacci's profile →
Citations per field
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Elena Barbacci · 1×
Citations per year

Countries citing papers authored by M Erämaa

Since Specialization
Citations

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

Fields of papers citing papers by M Erämaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside M Erämaa, 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 M Erämaa Line = papers co-authored together M Erämaa links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1995161
2 1994120
3 199284
4 199168
5 199564
6 199462
7 199353
8 199638
9 199634
10 199432
11 199227
12 199527
13 199425
14 199122
15 19969
16 19928
17 19997
18 19945
19 19944

About M Erämaa

M Erämaa is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Agronomy and Crop Science and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 850 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (16 papers), Kruppel-like factors research (8 papers), Bone Metabolism and Diseases (4 papers), Reproductive Biology and Fertility (4 papers), Genetic Syndromes and Imprinting (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Molecular Biology (674 citations), Reproductive Medicine (64 citations), Public Health, Environmental and Occupational Health (184 citations), Obstetrics and Gynecology (45 citations) and Endocrinology, Diabetes and Metabolism (67 citations). M Erämaa has collaborated with scholars based in Finland, Netherlands and United States. Frequent co-authors include Olli Ritvos, Timo Tuuri, Kristiina Hildén, Raimo Voutilainen, Kirsi Sainio, Scott F. Gilbert, Lauri Saxén, Mikko Hurme, Ulf‐Håkan Stenman and Kristiina Heikinheimo. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology, Molecular and Cellular Endocrinology, Blood and Fertility and Sterility.

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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