E Nikkilä

1.8k citations
36 papers · 1.4k · h-index 19

Impact in

Papers in

E Nikkilä

33 papers receiving 1.2k citations

Peers

E Nikkilä
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 704
  • Cardiology and Cardiovascular Medicine 324
  • Surgery 407
  • Cancer Research 129
  • Clinical Biochemistry 56
Replace Joanne Hoover with:
Joanne Hoover United States
Deborah Applebaum‐Bowden United States
L. A. Carlson Sweden
Sanni Lahdenperä Finland
R. Fallat United States
Melissa A. Austin United States
A Rubinstein Israel
P W Wilson United States
D S Fredrickson United States
O. Wiklund Sweden
E Nikkilä relative to Joanne Hoover United States Joanne Hoover's profile →
Citations per field
00.5×
Joanne Hoover · 1×
Citations per year

Countries citing papers authored by E Nikkilä

Since Specialization
Citations

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

Fields of papers citing papers by E Nikkilä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973242
2 1978115
3 1965102
4 1977101
5 198498
6 197867
7 198564
8 198960
9 197957
10 196255
11 198555
12 197954
13 198647
14 196839
15 198727
16
Interferon response of lymphocytes in disorders with decreased resistance to infections.
197026
17 198322
18 198322
19 197620
20 198818

About E Nikkilä

E Nikkilä is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Lipid metabolism and disorders (5 papers), Diabetes Management and Research (4 papers), Cancer, Lipids, and Metabolism (4 papers), Diabetes and associated disorders (3 papers), Hormonal and reproductive studies (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (704 citations), Cardiology and Cardiovascular Medicine (324 citations), Surgery (407 citations), Cancer Research (129 citations) and Clinical Biochemistry (56 citations). E Nikkilä has collaborated with scholars based in Finland, Italy and United Kingdom. Frequent co-authors include Antti Aro, Matti J. Tikkanen, Eero Vartiainen, Markku Kaste, T Kuusi, Risto Pelkonen, Marja‐Riitta Taskinen, Aarne Konttinen, Aila Rissanen and M. Valle. Their work appears in journals such as The Lancet, Atherosclerosis, Scandinavian Journal of Clinical and Laboratory Investigation, Clinical Chemistry and Acta Obstetricia Et Gynecologica Scandinavica.

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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