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
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- Cancer, Hypoxia, and Metabolism 2
-
- Cell Adhesion Molecules Research 2
- Co-authors
- Ryuichiro Doi (7 shared papers)Masayuki Imamura (8 shared papers)Ryo Hosotani (6 shared papers)Sanae Nakajima (5 shared papers)Michiya Kawaguchi (5 shared papers)Yoshiharu Miyamoto (4 shared papers)Hiroyuki Kobayashi (3 shared papers)Shoichiro Tsuji (3 shared papers)
- Journals
- Cell Transplantation (2 papers)The Journal of Organic Chemistry (1 paper)International Journal of Oncology (1 paper)Gastroenterology (1 paper)International journal of cardiac imaging (1 paper)
- Partner nations
- JapanSouth Korea
In The Last Decade
Jun Ida
14 papers receiving 580 citations
Peers
Comparison fields: 5 of 65
- Oncology 380
- Immunology and Allergy 63
- Immunology 196
- Cancer Research 61
- Molecular Biology 176
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 | 396 |
| 2 | Interleukin-6 inhibits radiation induced apoptosis in pancreatic cancer cells. | 2001 | 51 |
| 3 | 2000 | 50 | |
| 4 | 2001 | 21 | |
| 5 | 2000 | 15 | |
| 6 | 2001 | 13 | |
| 7 | 2004 | 12 | |
| 8 | 2000 | 9 | |
| 9 | 1998 | 7 | |
| 10 | 2018 | 6 | |
| 11 | 1998 | 6 | |
| 12 | 2018 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2006 | 2 |
About Jun Ida
Jun Ida is a scholar working on Cancer Research, Immunology and Allergy, Surgery, Cardiology and Cardiovascular Medicine and Oncology, having authored 14 papers that have together received 593 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Cell Adhesion Molecules Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Neuropeptides and Animal Physiology (2 papers), Animal Genetics and Reproduction (1 paper), Cancer Research and Treatments (1 paper), Aortic Thrombus and Embolism (1 paper) and Lipoproteins and Cardiovascular Health (1 paper). The work is most often cited by research in Oncology (380 citations), Immunology and Allergy (63 citations), Immunology (196 citations), Cancer Research (61 citations) and Molecular Biology (176 citations). Jun Ida has collaborated with scholars based in Japan and South Korea. Frequent co-authors include Ryuichiro Doi, Masayuki Imamura, Ryo Hosotani, Sanae Nakajima, Michiya Kawaguchi, Yoshiharu Miyamoto, Hiroyuki Kobayashi, Shoichiro Tsuji, Takatomo Koshiba and Nobutaka Fujii. Their work appears in journals such as Cell Transplantation, The Journal of Organic Chemistry, International Journal of Oncology, Gastroenterology and International journal of cardiac imaging.
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.