K. Iitake

26 papers receiving 443 citations

Peers

K. Iitake
Comparison fields: 5 of 62
  • Behavioral Neuroscience 71
  • Endocrine and Autonomic Systems 68
  • Endocrinology, Diabetes and Metabolism 107
  • Cardiology and Cardiovascular Medicine 141
  • Social Psychology 113
Replace Maria Petri with:
Maria Petri Germany
J. F. Laycock United Kingdom
H Matsuguchi Japan
Cathy A. Bruner United States
Y F Chen United States
Gudrun Demmert Germany
Annette Veltmar Germany
Jaakko Linkola Finland
LR Willis United States
D Scavo Italy
K. Iitake relative to Maria Petri Germany Maria Petri's profile →
Citations per field
00.5×3.3×
Maria Petri · 1×
Citations per year

Countries citing papers authored by K. Iitake

Since Specialization
Citations

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

Fields of papers citing papers by K. Iitake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987125
2 198680
3 198450
4 198644
5 198819
6 198517
7 198513
8 198913
9 198713
10 198612
11 198511
12 198910
13 198810
14 19905
15 19875
16 19845
17 19874
18 20193
19 19892
20 19892

About K. Iitake

K. Iitake is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems, Social Psychology, Developmental Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 449 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (12 papers), Electrolyte and hormonal disorders (11 papers), Neuropeptides and Animal Physiology (4 papers), Hormonal Regulation and Hypertension (4 papers), Receptor Mechanisms and Signaling (4 papers), Heart Failure Treatment and Management (3 papers), Stress Responses and Cortisol (3 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Behavioral Neuroscience (71 citations), Endocrine and Autonomic Systems (68 citations), Endocrinology, Diabetes and Metabolism (107 citations), Cardiology and Cardiovascular Medicine (141 citations) and Social Psychology (113 citations). K. Iitake has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Leonard Share, Joan T. Crofton, David P. Brooks, Kozo Ota, Kuniaki Matsui, KAORU YOSHINAGA, Tokihisa Kimura, Masaru Shoji, Minoru Inoue and Edward H. Blaine. Their work appears in journals such as European Journal of Endocrinology, American Journal of Physiology-Endocrinology and Metabolism, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Endocrinology and Hypertension.

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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