Erkka Valo

1.7k citations
23 papers · 528 · h-index 12

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 2
    • Genetic Associations and Epidemiology 4
    • Diabetes and associated disorders 3

Erkka Valo

20 papers receiving 520 citations

Peers

Erkka Valo
Comparison fields: 5 of 96
  • Nephrology 58
  • Cancer Research 83
  • Molecular Biology 313
  • Endocrinology, Diabetes and Metabolism 57
  • Clinical Biochemistry 19
Replace G. J. Romeijn with:
G. J. Romeijn Netherlands
Angela Raymond Canada
Michael Kapinsky Germany
Peter Broad United Kingdom
Jürgen Steffgen Germany
Alexandra A. Henrion France
Mehul Shah United States
Xiaolong Cheng China
Rebecca M. Ricklis United States
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Citations per field
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Citations per year

Countries citing papers authored by Erkka Valo

Since Specialization
Citations

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

Fields of papers citing papers by Erkka Valo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Erkka Valo, 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 Erkka Valo Line = papers co-authored together Erkka Valo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010137
2 2012101
3 200942
4 201940
5 202139
6 201138
7 202230
8 202318
9 202015
10 201914
11 202013
12 201812
13 20227
14 20217
15 20106
16 20224
17 20132
18 20251
19 20231
20 20131

About Erkka Valo

Erkka Valo is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Nephrology and Oncology, having authored 23 papers that have together received 528 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Genetic Associations and Epidemiology (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (2 papers), Diabetes Management and Research (2 papers), MicroRNA in disease regulation (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Nephrology (58 citations), Cancer Research (83 citations), Molecular Biology (313 citations), Endocrinology, Diabetes and Metabolism (57 citations) and Clinical Biochemistry (19 citations). Erkka Valo has collaborated with scholars based in Finland, Australia and United States. Frequent co-authors include Sampsa Hautaniemi, Carol Forsblom, Per‐Henrik Groop, Niina Sandholm, Pekka Kohonen, Viljami Aittomäki, Jukka Westermarck, Lilli Saarinen, Kari Nousiainen and Tuula Kallunki. Their work appears in journals such as Diabetologia, Scientific Reports, Diabetes, Genome Medicine and iScience.

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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