Hideki Katakami

2.6k citations
87 papers · 2.0k · h-index 28

Impact in

Papers in

Hideki Katakami

83 papers receiving 1.9k citations

Peers

Hideki Katakami
Comparison fields: 5 of 90
  • Endocrine and Autonomic Systems 513
  • Endocrinology, Diabetes and Metabolism 945
  • Behavioral Neuroscience 163
  • Reproductive Medicine 350
  • Cellular and Molecular Neuroscience 471
Replace Geda Unabia with:
Geda Unabia United States
Danielle Carmignac United Kingdom
D. H. Coy United States
Lucinda Cacicedo Spain
Michio Niimi Japan
Duarte Pignatelli Portugal
LAURENCE S. JACOBS United States
Chrystel Lafont France
Nicola J. Lee Australia
Helen Wong United States
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Citations per field
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Citations per year

Countries citing papers authored by Hideki Katakami

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Katakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005125
2 1981104
3 200487
4 198678
5 198877
6 198665
7 201163
8 198060
9 197560
10 198759
11 198258
12 198255
13 198254
14 199551
15 198550
16 198350
17 198447
18 198245
19 199340
20 198139

About Hideki Katakami

Hideki Katakami is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Oncology and Surgery, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (40 papers), Pituitary Gland Disorders and Treatments (22 papers), Regulation of Appetite and Obesity (15 papers), Neuropeptides and Animal Physiology (14 papers), Hypothalamic control of reproductive hormones (12 papers), Bone health and treatments (11 papers), Thyroid Disorders and Treatments (10 papers) and Neuroendocrine Tumor Research Advances (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (513 citations), Endocrinology, Diabetes and Metabolism (945 citations), Behavioral Neuroscience (163 citations), Reproductive Medicine (350 citations) and Cellular and Molecular Neuroscience (471 citations). Hideki Katakami has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Hiroo Imura, Lawrence A. Frohman, Yuzuru Kato, Norio Matsushita, Akira Shimatsu, Thomas R. Downs, Noboru Yanaihara, Akira Arimura, Yoshikatsu Nakai and L A Frohman. Their work appears in journals such as Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Neuroendocrinology, Experimental Biology and Medicine and Life Sciences.

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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