Kazuhiko Nishida

8.8k citations
146 papers · 6.7k indexed · 3 hit papers · h-index 39

Kazuhiko Nishida

129 papers receiving 6.5k citations

Hit Papers

Bcl-2-like protein 13 is a mammalian Atg32 homolog...39020072026201320194008001.2k

Peers

Kazuhiko Nishida
Comparison fields: 5 of 144
  • Physiology 342
  • Aging 122
  • Epidemiology 2.4k
  • Cardiology and Cardiovascular Medicine 1.5k
  • Geriatrics and Gerontology 252
Replace Gerald W. Dorn with:
Gerald W. Dorn United States
Hideki Katagiri Japan
Guo‐Chang Fan United States
Hui‐Hua Li China
Xiaobo Wang China
Ichiro Shiojima Japan
Julie R. McMullen Australia
Jianxun Wang China
Keith A. Webster United States
John N. Lorenz United States
Kazuhiko Nishida relative to Gerald W. Dorn United States Gerald W. Dorn's profile →
Citations per field
00.5×1.5×
Gerald W. Dorn · 1×
Citations per year

Countries citing papers authored by Kazuhiko Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhiko Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20244
3 20233
4 20168
5 20140
6 20132
7 20121
8 20111
9 20103
10 20080
11 200826
12 200735
13 20050
14 20050
15 20041
16 20022
17 19991
18 199828
19 19971
20 199455

About Kazuhiko Nishida

Kazuhiko Nishida is a scholar working on Fluid Flow and Transfer Processes, Civil and Structural Engineering and Developmental Neuroscience, having authored 146 papers that have together received 6.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (17 papers), Geotechnical Engineering and Soil Stabilization (13 papers), Advanced Combustion Engine Technologies (13 papers), Signaling Pathways in Disease (13 papers), Grouting, Rheology, and Soil Mechanics (12 papers), Combustion and flame dynamics (9 papers), Soil and Unsaturated Flow (8 papers) and Endoplasmic Reticulum Stress and Disease (8 papers). The work is most often cited by research in Physiology (342 citations), Aging (122 citations) and Epidemiology (2.4k citations). Kazuhiko Nishida has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Kinya Otsu, Osamu Yamaguchi, Shungo Hikoso, Toshihiro Takeda, Masatsugu Hori, Yasushi Matsumura, Yoshiharu Higuchi, Hiroyuki Nakayama, Manabu Taneike and Shigemiki Omiya. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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