Kazuo Maruyama

163 papers receiving 4.8k citations

Peers

Kazuo Maruyama
Comparison fields: 5 of 144
  • Immunology 695
  • Pulmonary and Respiratory Medicine 962
  • Molecular Biology 2.0k
  • Genetics 708
  • Oncology 685
Replace Rainer M. Bohle with:
Rainer M. Bohle Germany
J. Geoffrey Pickering Canada
Paola Rizzo Italy
Takeshi Sasaki Japan
Jean‐Baptiste Michel France
Henrik Thorlacius Sweden
Masao Nakagawa Japan
Lianchun Wang United States
Felix Offner Austria
Hideo Yoshida Japan
Kazuo Maruyama relative to Rainer M. Bohle Germany Rainer M. Bohle's profile →
Citations per field
00.5×1.5×1.9×
Rainer M. Bohle · 1×
Citations per year

Countries citing papers authored by Kazuo Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Kazuo Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994495
2 2001376
3 1990371
4 1997214
5 1997193
6 2001183
7 2005162
8 1986153
9 1986145
10 199191
11 199488
12 199982
13 201080
14 200778
15 199477
16 198671
17 200467
18 200967
19
myc and E1A oncogenes alter the responses of PC12 cells to nerve growth factor and block differentiation.
198760
20 201157

About Kazuo Maruyama

Kazuo Maruyama is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Physiology, Mechanical Engineering and Mechanics of Materials, having authored 178 papers that have together received 5.1k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (47 papers), Nitric Oxide and Endothelin Effects (24 papers), Engineering Structural Analysis Methods (19 papers), Mechanical stress and fatigue analysis (16 papers), Virus-based gene therapy research (11 papers), Eicosanoids and Hypertension Pharmacology (10 papers), Metallurgy and Material Forming (9 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Immunology (695 citations), Pulmonary and Respiratory Medicine (962 citations), Molecular Biology (2.0k citations), Genetics (708 citations) and Oncology (685 citations). Kazuo Maruyama has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Sumio Sugano, Yoshihide Mitani, H. Earl Ruley, Junko Maruyama, N. Kurosawa, Haruo Kobayashi, Kensuke Kobayashi, Hirotaka Sugawara, Minoru Sakurai and Emi Ito. Their work appears in journals such as Anesthesia & Analgesia, Gene, Journal of Virology, European Respiratory Journal and American Journal of Physiology-Heart and Circulatory Physiology.

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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