Miwa Sohda

1.3k citations
38 papers · 1.1k indexed · h-index 21
Topics
Cellular transport and secretion (19 papers)Endoplasmic Reticulum Stress and Disease (10 papers)Lipid Membrane Structure and Behavior (8 papers)
Partner nations
JapanTaiwanUnited States

In The Last Decade

Miwa Sohda

38 papers receiving 1.1k citations

Peers

Miwa Sohda
Comparison fields: 5 of 82
  • Molecular Biology 699
  • Cell Biology 604
  • Surgery 123
  • Endocrinology, Diabetes and Metabolism 98
  • Physiology 98
Replace Regina Kuliawat with:
Regina Kuliawat United States
Louis Ercolani United States
Shigenori Ogata Japan
Christine Powers United States
A. Julian Garvin United States
Volkan Seyrantepe Türkiye
Calvin F. Roff United States
Edward L. McEwen United States
Marcel Vergés Spain
Gerry T. Snoek Netherlands
Miwa Sohda relative to Regina Kuliawat United States Regina Kuliawat's profile →
Citations per field
00.5×2.6×
Regina Kuliawat · 1×
Citations per year

Countries citing papers authored by Miwa Sohda

Since Specialization
Citations

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

Fields of papers citing papers by Miwa Sohda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miwa Sohda

This figure shows the co-authorship network connecting the top 25 collaborators of Miwa Sohda. A scholar is included among the top collaborators of Miwa Sohda 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 Miwa Sohda. Miwa Sohda 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 8
2 32
3 20
4 16
5 17
6 15
7 20
8 38
9 63
10 41
11 17
12 46
13
GCP60, a novel Golgi phosphoprotein, interact with giantin and involved in the maintenance of the Golgi structure
1
14 41
15 43
16 40
17 20
18 15
19 36
20 20

About Miwa Sohda

Miwa Sohda is a scholar working on Cell Biology, Physiology and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (19 papers), Endoplasmic Reticulum Stress and Disease (10 papers) and Lipid Membrane Structure and Behavior (8 papers). The work is most often cited by research in Cell Biology (604 citations), Physiology (89 citations) and Molecular Biology (699 citations). Miwa Sohda has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Yoshio Misumi, Yukio Ikehara, Nobuhiro Nakamura, Akiko Yano, Kimimitsu Oda, Akitsugu Yamamoto, Shigenori Ogata, Shotaro Sakisaka, Toshiyuki Fujiwara and Shin‐ichiro Yoshimura. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Biochemical Journal.

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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