Kazuyuki Kitamura

1.6k citations
68 papers · 1.3k · h-index 19

Impact in

Papers in

Kazuyuki Kitamura

65 papers receiving 1.2k citations

Peers

Kazuyuki Kitamura
Comparison fields: 5 of 142
  • Behavioral Neuroscience 73
  • Endocrinology, Diabetes and Metabolism 201
  • Complementary and Manual Therapy 26
  • Pharmacology 94
  • Sensory Systems 35
Replace D. Agnusdei with:
D. Agnusdei Italy
Sébastien Lenglet Switzerland
Luke S. Chang Taiwan
Carlo Ferretti South Africa
Takeshi Yokoyama Japan
Keiji Miyata Japan
Moon Gi Choi South Korea
Yeshayahu Katz Israel
Takashi Iida Japan
Pai C. Kao United States
Kazuyuki Kitamura relative to D. Agnusdei Italy D. Agnusdei's profile →
Citations per field
00.5×3.8×
D. Agnusdei · 1×
Citations per year

Countries citing papers authored by Kazuyuki Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Kazuyuki Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kazuyuki Kitamura, 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 Kazuyuki Kitamura Line = papers co-authored together Kazuyuki Kitamura 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 2001128
2 1998117
3 199790
4 200076
5 200771
6 198166
7 199862
8 200658
9 200450
10 200448
11 200446
12 200735
13 199830
14 199924
15 196922
16 200421
17 200521
18 199619
19 200818
20 200517

About Kazuyuki Kitamura

Kazuyuki Kitamura is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Endocrinology, Diabetes and Metabolism and Mechanical Engineering, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), High-Temperature Coating Behaviors (4 papers), Force Microscopy Techniques and Applications (3 papers), Lubricants and Their Additives (3 papers) and Nuclear Materials and Properties (3 papers). The work is most often cited by research in Behavioral Neuroscience (73 citations), Endocrinology, Diabetes and Metabolism (201 citations), Complementary and Manual Therapy (26 citations), Pharmacology (94 citations) and Sensory Systems (35 citations). Kazuyuki Kitamura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Shingo Nagasawa, Kanehisa Morimoto, Masahiro Toda, Akira Oku, Akira Saito, Kenji Arakawa, Tomomi Ishihara, Kiichiro Ueta, Masao Nawano and Mamoru Matsumoto. Their work appears in journals such as Experimental and Toxicologic Pathology, EXPERIMENTAL ANIMALS, Surface and Interface Analysis, Metabolism and Applied Surface Science.

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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