Jun‐ichi Morishige

593 citations
34 papers · 509 indexed · h-index 13
Topics
Sphingolipid Metabolism and Signaling (13 papers)Lipid metabolism and biosynthesis (8 papers)Lipid Membrane Structure and Behavior (7 papers)
Partner nations
JapanUnited States

In The Last Decade

Jun‐ichi Morishige

33 papers receiving 500 citations

Peers

Jun‐ichi Morishige
Comparison fields: 5 of 81
  • Molecular Biology 301
  • Physiology 99
  • Biochemistry 86
  • Pathology and Forensic Medicine 68
  • Surgery 48
Replace Halina Jurkowska with:
Halina Jurkowska Poland
Shunai Jiang United States
Jane R. Evans United States
B. Herman United States
Jian Yi United States
Zhongyan Wang United States
Georgette Howard United States
In-Sung Song South Korea
Qinghua Wang China
Yanbin Ma China
Jun‐ichi Morishige relative to Halina Jurkowska Poland Halina Jurkowska's profile →
Citations per field
00.5×3.1×
Halina Jurkowska · 1×
Citations per year

Countries citing papers authored by Jun‐ichi Morishige

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐ichi Morishige

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐ichi Morishige. 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 Jun‐ichi Morishige. The network helps show where Jun‐ichi Morishige may publish in the future.

Co-authorship network of co-authors of Jun‐ichi Morishige

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐ichi Morishige. A scholar is included among the top collaborators of Jun‐ichi Morishige 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 Jun‐ichi Morishige. Jun‐ichi Morishige 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 1
2 0
3 2
4 3
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7 5
8 1
9 26
10 7
11 8
12 1
13 1
14 26
15 38
16 5
17 27
18 27
19 23
20 33

About Jun‐ichi Morishige

Jun‐ichi Morishige is a scholar working on Biochemistry, Endocrine and Autonomic Systems and Physiology, having authored 34 papers that have together received 509 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (13 papers), Lipid metabolism and biosynthesis (8 papers) and Lipid Membrane Structure and Behavior (7 papers). The work is most often cited by research in Biochemistry (86 citations), Endocrine and Autonomic Systems (31 citations) and Molecular Biology (301 citations). Jun‐ichi Morishige has collaborated with scholars based in Japan and United States. Frequent co-authors include Kiyoshi Satouchi, Tamotsu Tanaka, Akira Tokumura, Arnold E. Postlethwaite, Yasuko Yoshioka, Mitchell A. Watsky, Laura Carbone, Masaki Kikuchi, Kaoru Hirano and Hitoshi Ando. Their work appears in journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Biochemical and Biophysical Research Communications.

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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