Jun Ida
Impact in
- Oncology top 10%
- Chemokine receptors and signaling
- Pancreatic and Hepatic Oncology Research
- Cytokine Signaling Pathways and Interactions
- Cancer Cells and Metastasis
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
- Co-authors
- Masayuki Imamura (8 shared papers)Ryuichiro Doi (7 shared papers)Ryo Hosotani (6 shared papers)Michiya Kawaguchi (5 shared papers)Sanae Nakajima (5 shared papers)Yoshiharu Miyamoto (4 shared papers)Hiroyuki Kobayashi (3 shared papers)Shoichiro Tsuji (3 shared papers)
- Journals
- Cell Transplantation (2 papers)Surgery (1 paper)The Journal of Organic Chemistry (1 paper)International Journal of Oncology (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- JapanSouth Korea
In The Last Decade
Jun Ida
14 papers receiving 565 citations
Peers
Comparison fields: 5 of 66
- Oncology 389
- Immunology and Allergy 76
- Immunology 241
- Cancer Research 68
- Molecular Biology 189
Countries citing papers authored by Jun Ida
This map shows the geographic impact of Jun Ida'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 Jun Ida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ida more than expected).
Fields of papers citing papers by Jun Ida
This network shows the impact of papers produced by Jun Ida. 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 Jun Ida. The network helps show where Jun Ida may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Expression of stromal cell-derived factor 1 and CXCR4 ligand receptor system in pancreatic cancer: a possible role for tumor progression. | 2000 | 386 |
| 2 | Interleukin-6 inhibits radiation induced apoptosis in pancreatic cancer cells. | 2001 | 50 |
| 3 | 2000 | 48 | |
| 4 | 2001 | 19 | |
| 5 | 2000 | 14 | |
| 6 | 2001 | 13 | |
| 7 | 2004 | 12 | |
| 8 | 2000 | 8 | |
| 9 | 1998 | 7 | |
| 10 | 1998 | 6 | |
| 11 | 2018 | 5 | |
| 12 | 2018 | 3 | |
| 13 | 2006 | 2 | |
| 14 | 2024 | 1 |
About Jun Ida
Jun Ida is a scholar working on Surgery, Oncology, Cancer Research, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 574 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Cardiac Arrhythmias and Treatments (2 papers), Phagocytosis and Immune Regulation (2 papers), Neuropeptides and Animal Physiology (2 papers), Cell Adhesion Molecules Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Diet, Metabolism, and Disease (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Oncology (389 citations), Immunology and Allergy (76 citations), Immunology (241 citations), Cancer Research (68 citations) and Molecular Biology (189 citations). Jun Ida has collaborated with scholars based in Japan and South Korea. Frequent co-authors include Masayuki Imamura, Ryuichiro Doi, Ryo Hosotani, Michiya Kawaguchi, Sanae Nakajima, Yoshiharu Miyamoto, Hiroyuki Kobayashi, Shoichiro Tsuji, Takatomo Koshiba and Nobutaka Fujii. Their work appears in journals such as Cell Transplantation, Surgery, The Journal of Organic Chemistry, International Journal of Oncology 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.