E Nikkilä

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

Impact in

Papers in

E Nikkilä

33 papers receiving 1.2k citations

Peers

E Nikkilä
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 757
  • Cardiology and Cardiovascular Medicine 360
  • Surgery 446
  • Cancer Research 141
  • Clinical Biochemistry 60
Replace Joanne Hoover with:
Joanne Hoover United States
Deborah Applebaum‐Bowden United States
L. A. Carlson Sweden
H. Kaffarnik Germany
Sanni Lahdenperä Finland
R. Fallat United States
A Rubinstein Israel
E Knapp Austria
A.H.M. Smelt Netherlands
Daniel Brun Canada
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-authorship network

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
#Work
1 198960
2 198818
3 198647
4 198563
5 198555
6 198498
7
Insulin mediated glucose metabolism is unrelated to free insulin levels in type 1 insulin dependent diabetes evidence for biological activity of insulin antibodies
19841
8
Proliferative responses to insulin antigens in diabetics and controls.
198310
9 198322
10 197867
11 1978115
12 1977102
13 197620
14 1973242
15
The insulin secretion rate in obesity.
19716
16 1965102
17 196255
18 19600
19
Diuretics and quantitative histoenzymology of rat kidney.
19601
20 195217

About E Nikkilä

E Nikkilä is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Cardiology and Cardiovascular Medicine, Surgery and Cancer Research, 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), Cancer, Lipids, and Metabolism (4 papers), Diabetes Management and Research (4 papers), Pharmacology and Obesity Treatment (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Hormonal and reproductive studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (757 citations), Cardiology and Cardiovascular Medicine (360 citations), Surgery (446 citations), Cancer Research (141 citations) and Clinical Biochemistry (60 citations). E Nikkilä has collaborated with scholars based in Finland, Sweden and Italy. Frequent co-authors include Antti Aro, Matti J. Tikkanen, Markku Kaste, Eero Vartiainen, T Kuusi, Risto Pelkonen, Aarne Konttinen, Marja‐Riitta Taskinen, Aila Rissanen and M. Valle. Their work appears in journals such as The Lancet, Atherosclerosis, Scandinavian Journal of Clinical and Laboratory Investigation, Circulation and Clinical Chemistry.

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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