Joji Mima

929 citations
31 papers · 716 · h-index 14

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Erythrocyte Function and Pathophysiology

Papers in

    • Cellular transport and secretion 25
    • Endoplasmic Reticulum Stress and Disease 7
    • Biotin and Related Studies 4
    • Lipid Membrane Structure and Behavior 15
    • Signaling Pathways in Disease 3

Joji Mima

31 papers receiving 706 citations

Peers

Joji Mima
Comparison fields: 5 of 68
  • Cell Biology 473
  • Physiology 89
  • Molecular Biology 533
  • Endocrinology 29
  • Physiology 81
Replace Atsuko Yoshino with:
Atsuko Yoshino Japan
Birgit Singer‐Krüger Germany
Thanuja Gangi Setty United States
Daniel Trambaiolo United States
Christopher L. de Graffenried United States
Danièle Stalder United States
D Brada Switzerland
Régis Courbeyrette France
Lucia Sticco Italy
Eija Jämsä Finland
Joji Mima relative to Atsuko Yoshino Japan Atsuko Yoshino's profile →
Citations per field
00.5×4.8×
Atsuko Yoshino · 1×
Citations per year

Countries citing papers authored by Joji Mima

Since Specialization
Citations

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

Fields of papers citing papers by Joji Mima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008141
2 200994
3 200960
4 200953
5 201444
6 200643
7 200529
8 201328
9 201127
10 200624
11 201619
12 201416
13 200315
14 202014
15 200613
16 201712
17 200211
18 201911
19 201710
20 200610

About Joji Mima

Joji Mima is a scholar working on Cell Biology, Molecular Biology, Physiology, Oncology and Epidemiology, having authored 31 papers that have together received 716 indexed citations. Recurring topics across this work include Cellular transport and secretion (25 papers), Lipid Membrane Structure and Behavior (15 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Peptidase Inhibition and Analysis (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Biotin and Related Studies (4 papers), Signaling Pathways in Disease (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Cell Biology (473 citations), Physiology (89 citations), Molecular Biology (533 citations), Endocrinology (29 citations) and Physiology (81 citations). Joji Mima has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include William Wickner, Christopher M. Hickey, Hao Xu, Youngsoo Jun, Mitsuyoshi Ueda, Christopher Stroupe, Rikimaru Hayashi, Naoki Tamura, Yusuke Narita and Michiko Kato. Their work appears in journals such as Journal of Biological Chemistry, Bioscience Biotechnology and Biochemistry, Biophysical Reviews, Protein Science 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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