Yukio Ikehara

4.2k citations
102 papers · 3.6k indexed · h-index 37
Topics
Cellular transport and secretion (32 papers)Endoplasmic Reticulum Stress and Disease (17 papers)Alkaline Phosphatase Research Studies (17 papers)

In The Last Decade

Yukio Ikehara

101 papers receiving 3.5k citations

Peers

Yukio Ikehara
Comparison fields: 5 of 115
  • Molecular Biology 2.1k
  • Cell Biology 1.3k
  • Physiology 443
  • Physiology 403
  • Surgery 392
Replace Shun-ichiro Iemura with:
Shun-ichiro Iemura Japan
Pēteris Alberts Sweden
Masato Hirata Japan
Sandra Lacas‐Gervais France
Michael J. Rindler United States
Clark Distelhorst United States
Sylvette Chasserot‐Golaz France
Tetsuro Izumi Japan
Steven R. Post United States
Yasunori Kanaho Japan
Yukio Ikehara relative to Shun-ichiro Iemura Japan Shun-ichiro Iemura's profile →
Citations per field
00.5×1.5×
Shun-ichiro Iemura · 1×
Citations per year

Countries citing papers authored by Yukio Ikehara

Since Specialization
Citations

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

Fields of papers citing papers by Yukio Ikehara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukio Ikehara

This figure shows the co-authorship network connecting the top 25 collaborators of Yukio Ikehara. A scholar is included among the top collaborators of Yukio Ikehara 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 Yukio Ikehara. Yukio Ikehara 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 20
2 182
3 41
4 25
5 284
6 8
7 129
8 46
9
GCP60, a novel Golgi phosphoprotein, interact with giantin and involved in the maintenance of the Golgi structure
1
10 41
11 52
12 46
13 49
14 48
15 8
16 20
17 18
18 18
19 42
20 9

About Yukio Ikehara

Yukio Ikehara is a scholar working on Cell Biology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 102 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (32 papers), Endoplasmic Reticulum Stress and Disease (17 papers) and Alkaline Phosphatase Research Studies (17 papers). The work is most often cited by research in Physiology (443 citations), Cell Biology (1.3k citations) and Molecular Biology (2.1k citations). Yukio Ikehara has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yoshio Misumi, Kimimitsu Oda, Miwa Sohda, Noboru Takami, Shigenori Ogata, Toshiyuki Fujiwara, Keitaro Kato, Shinichi Hirose, Akiko Yano and Nobuhiro Nakamura. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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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