Jingo Kageyama

730 citations
44 papers · 618 indexed · h-index 16
Topics
Stress Responses and Cortisol (19 papers)Neuroendocrine regulation and behavior (14 papers)Growth Hormone and Insulin-like Growth Factors (10 papers)

In The Last Decade

Jingo Kageyama

44 papers receiving 589 citations

Peers

Jingo Kageyama
Comparison fields: 5 of 74
  • Behavioral Neuroscience 244
  • Endocrinology, Diabetes and Metabolism 232
  • Social Psychology 163
  • Cellular and Molecular Neuroscience 128
  • Endocrine and Autonomic Systems 117
Replace J. W. Kendall with:
J. W. Kendall United States
YURIKO NAKAGAMI Japan
H. STEPHEN BEYER United States
O. A. Müller Germany
A. De Nicola Argentina
SHOZO OHGO Japan
Luciana Pietranera Argentina
S Yunoki Japan
Stephen J. Lolait United States
Naoto Minamitani Japan
Jingo Kageyama relative to J. W. Kendall United States J. W. Kendall's profile →
Citations per field
00.5×
J. W. Kendall · 1×
Citations per year

Countries citing papers authored by Jingo Kageyama

Since Specialization
Citations

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

Fields of papers citing papers by Jingo Kageyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingo Kageyama

This figure shows the co-authorship network connecting the top 25 collaborators of Jingo Kageyama. A scholar is included among the top collaborators of Jingo Kageyama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingo Kageyama. Jingo Kageyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 10
3 6
4 7
5 3
6
Developmental change of kidney dopamine receptors in spontaneously hypertensive rats.
9
7 16
8 11
9 14
10 14
11 22
12 14
13 4
14 21
15 16
16 64
17 3
18 31
19 10
20 29

About Jingo Kageyama

Jingo Kageyama is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Biological Psychiatry, having authored 44 papers that have together received 618 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (19 papers), Neuroendocrine regulation and behavior (14 papers) and Growth Hormone and Insulin-like Growth Factors (10 papers). The work is most often cited by research in Behavioral Neuroscience (244 citations), Endocrine and Autonomic Systems (117 citations) and Endocrinology, Diabetes and Metabolism (232 citations). Jingo Kageyama has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kozo Hashimoto, Zensuke Ota, Shuso Suemaru, Teruhiko Hattori, Jiro Takahara, T Ofuji, Kazutoshi Murakami, Yoshiyuki Aoki, Hiroshi Inoué and Hirofumi Makino. Their work appears in journals such as Journal of Clinical Investigation, Diabetes Care and Brain Research.

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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