E Kivalo

875 citations
68 papers · 494 · h-index 13

Impact in

Papers in

E Kivalo

63 papers receiving 442 citations

Peers

E Kivalo
Comparison fields: 5 of 85
  • Behavioral Neuroscience 26
  • Endocrine and Autonomic Systems 45
  • Developmental Neuroscience 26
  • Neurology 45
  • Cellular and Molecular Neuroscience 85
Replace Gretchen K. Feussner with:
Gretchen K. Feussner United States
Joyce A. Duncan United States
P. Vallet Switzerland
Sohan L. Manocha United States
W. C. Worthington United States
Junzo Ochi Japan
I. Schinko Germany
C. De Felipe Spain
Julie A. Coffield United States
Federica Pimpinelli Italy
E Kivalo relative to Gretchen K. Feussner United States Gretchen K. Feussner's profile →
Citations per field
00.5×
Gretchen K. Feussner · 1×
Citations per year

Countries citing papers authored by E Kivalo

Since Specialization
Citations

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

Fields of papers citing papers by E Kivalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196341
2
ELECTRON-MICROSCOPIC STRUCTURE OF THE SUBCOMMISSURAL ORGAN IN THE CALF (BOS TAURUS) WITH SPECIAL REFERENCE TO SECRETORY PHENOMENA.
196533
3 197131
4 196330
5 196424
6 196123
7 196822
8 196521
9 195819
10 196115
11 196715
12 196214
13 195814
14 196812
15 195712
16 195711
17
Studies on the subcommissural organ of some ruminants.
196011
18 20099
19 20088
20 20098

About E Kivalo

E Kivalo is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Genetics, Molecular Biology and Neurology, having authored 68 papers that have together received 494 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Stress Responses and Cortisol (4 papers), Pituitary Gland Disorders and Treatments (3 papers), Metabolism and Genetic Disorders (3 papers), Virology and Viral Diseases (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Hormonal Regulation and Hypertension (2 papers) and Epilepsy research and treatment (2 papers). The work is most often cited by research in Behavioral Neuroscience (26 citations), Endocrine and Autonomic Systems (45 citations), Developmental Neuroscience (26 citations), Neurology (45 citations) and Cellular and Molecular Neuroscience (85 citations). E Kivalo has collaborated with scholars based in Finland and United States. Frequent co-authors include U. K. Rinne, S. Talanti, M. K. Paasonen, Sari Mäkelä, J. Palo, Perttì Aula, Albert de la Chapelle, Anna Maria Seppâlâinen, M. Panelius and H. Savolainen. Their work appears in journals such as European Journal of Endocrinology, Acta Neurologica Scandinavica, Journal of Neural Transmission, Cellular and Molecular Life Sciences and Psychopharmacology.

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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