Junko Kon
Impact in
- Cell Biology top 2%
- 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
- Hepatology 11
- Liver physiology and pathology 11
- Co-authors
- Hideaki Tomura (13 shared papers)Fumikazu Okajima (13 shared papers)Kōichi Sato (13 shared papers)Atsushi Kuwabara (8 shared papers)Michio Ui (7 shared papers)Naoya Murata (6 shared papers)Hideo Ohta (8 shared papers)Toshihiro Mitaka (14 shared papers)
- Journals
- Biochemical Journal (6 papers)Cell Transplantation (2 papers)Journal of Biological Chemistry (2 papers)The FASEB Journal (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Junko Kon
28 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 82
- Cell Biology 548
- Hepatology 211
- Molecular Biology 1.5k
- Biochemistry 70
- Physiology 229
Countries citing papers authored by Junko Kon
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
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.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 349 | |
| 2 | 2000 | 209 | |
| 3 | 1999 | 187 | |
| 4 | 2000 | 134 | |
| 5 | 2000 | 94 | |
| 6 | 2000 | 89 | |
| 7 | 2005 | 83 | |
| 8 | 2010 | 83 | |
| 9 | 2000 | 78 | |
| 10 | 2006 | 59 | |
| 11 | 2005 | 54 | |
| 12 | 1999 | 50 | |
| 13 | 2000 | 50 | |
| 14 | 2007 | 49 | |
| 15 | 2000 | 40 | |
| 16 | 2008 | 38 | |
| 17 | 2008 | 37 | |
| 18 | 1998 | 27 | |
| 19 | 2009 | 27 | |
| 20 | 2012 | 20 |
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 (7 papers), Cellular transport and secretion (4 papers), Phagocytosis and Immune Regulation (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Cell Biology (548 citations), Hepatology (211 citations), Molecular Biology (1.5k citations), Biochemistry (70 citations) and Physiology (229 citations). Junko Kon has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hideaki Tomura, Fumikazu Okajima, Kōichi Sato, Atsushi Kuwabara, Michio Ui, Naoya Murata, Hideo Ohta, Toshihiro Mitaka, Tsugiyasu Kanda and Takao Kimura. Their work appears in journals such as Biochemical Journal, Cell Transplantation, Journal of Biological Chemistry, The FASEB Journal 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.