Masayuki Ozawa

9.9k citations
133 papers · 8.4k indexed · 2 hit papers · h-index 44
Topics
Wnt/β-catenin signaling in development and cancer (41 papers)Glycosylation and Glycoproteins Research (31 papers)Cancer-related gene regulation (21 papers)

In The Last Decade

Masayuki Ozawa

131 papers receiving 8.2k citations

Hit Papers

The cytoplasmic domain of the cell adhesion molecule uvom...1989202620012013198919902505007501000

Peers

Masayuki Ozawa
Comparison fields: 5 of 129
  • Molecular Biology 6.2k
  • Cell Biology 2.4k
  • Immunology 905
  • Oncology 889
  • Surgery 820
Replace Jeff Friedman with:
Jeff Friedman United States
Thalia Papayannopoulou United States
Ayyappan K. Rajasekaran United States
Rolf Jessberger Germany
Michael S. Parmacek United States
Hans Jörg Fehling Germany
Dimitris Kioussis United Kingdom
Warren S. Pear United States
Kairbaan Hodivala‐Dilke United Kingdom
Ramón Merino Spain
Masayuki Ozawa relative to Jeff Friedman United States Jeff Friedman's profile →
Citations per field
00.5×3.2×
Jeff Friedman · 1×
Citations per year

Countries citing papers authored by Masayuki Ozawa

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Ozawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Ozawa

This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Ozawa. A scholar is included among the top collaborators of Masayuki Ozawa 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 Masayuki Ozawa. Masayuki Ozawa 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 57
2 12
3 27
4 89
5 4
6 29
7
Change in the Thermal Process in a Volcanic Geothermal Reservoir Beneath an Active Fumarolic Field After the 1995 Phreatic Eruption of Kuju volcano, Japan
3
8 61
9 21
10 147
11 27
12 50
13 20
14 13
15 149
16 93
17 10
18 50
19 61
20 5

About Masayuki Ozawa

Masayuki Ozawa is a scholar working on Transplantation, Immunology and Allergy and Cell Biology, having authored 133 papers that have together received 8.4k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (41 papers), Glycosylation and Glycoproteins Research (31 papers) and Cancer-related gene regulation (21 papers). The work is most often cited by research in Transplantation (552 citations), Cell Biology (2.4k citations) and Immunology and Allergy (799 citations). Masayuki Ozawa has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Rolf Kemler, Hélène Baribault, Martin Ringwald, Tadashi Ohkubo, Takashi Muramatsu, Helen McNeill, W. James Nelson, R. Castro, Jürgen Engel and Kurt Herrenknecht. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of 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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