Junko Kon

2.9k citations
28 papers · 1.9k · h-index 21

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Hepatology top 5%
    • Liver physiology and pathology

Papers in

    • Sphingolipid Metabolism and Signaling 13
    • Lipid Membrane Structure and Behavior 8
    • Liver physiology and pathology 11

Junko Kon

28 papers receiving 1.8k citations

Peers

Junko Kon
Comparison fields: 5 of 79
  • Cell Biology 496
  • Hepatology 200
  • Molecular Biology 1.4k
  • Physiology 199
  • Biochemistry 59
Replace Yoshiaki Inui with:
Yoshiaki Inui Japan
Hrvoje Banfíƈ Croatia
Francesco A. Manzoli Italy
Polina Iakova United States
James Resau United States
Lynn Cheatham United States
Axelle Cadoret France
Bénédicte Foveau Canada
Hirotoshi Kataoka Japan
Jan‐Wilhelm Kornfeld Germany
Junko Kon relative to Yoshiaki Inui Japan Yoshiaki Inui's profile →
Citations per field
00.5×3.4×
Yoshiaki Inui · 1×
Citations per year

Countries citing papers authored by Junko Kon

Since Specialization
Citations

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

Fields of papers citing papers by Junko Kon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000352
2 2000211
3 1999187
4 2000135
5 200094
6 200089
7 201084
8 200584
9 200078
10 200661
11 200556
12 199951
13 200050
14 200749
15 200040
16 200838
17 200837
18 200927
19 199827
20 201220

About Junko Kon

Junko Kon is a scholar working on Molecular Biology, Hepatology, Surgery, Cell Biology and Immunology, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (13 papers), Liver physiology and pathology (11 papers), Lipid Membrane Structure and Behavior (8 papers), Pancreatic function and diabetes (6 papers), Cellular transport and secretion (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Phagocytosis and Immune Regulation (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Cell Biology (496 citations), Hepatology (200 citations), Molecular Biology (1.4k citations), Physiology (199 citations) and Biochemistry (59 citations). Junko Kon has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Hideaki Tomura, Kōichi Sato, Fumikazu Okajima, Atsushi Kuwabara, Michio Ui, Naoya Murata, Hideo Ohta, Toshihiro Mitaka, Takao Kimura and Tsugiyasu Kanda. Their work appears in journals such as Biochemical Journal, Biochemical and Biophysical Research Communications, The FASEB Journal, Cell Transplantation 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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