Ken-ichi Iyama
- Molecular Biology top 10%
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 10%
- Cancer Research top 5%
- Co-authors
- Hiroshi MizutaKazuhiro SugaharaYoshikazu SadoJunji IdeHidetoshi SakamotoJun HiroseKenshi KikukawaHideo Baba
- Topics
- Cell Adhesion Molecules Research (9 papers)Gastrointestinal Tumor Research and Treatment (6 papers)Metastasis and carcinoma case studies (5 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Ken-ichi Iyama
80 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 702
- Surgery 619
- Pulmonary and Respiratory Medicine 433
- Oncology 418
- Cancer Research 325
Countries citing papers authored by Ken-ichi Iyama
This map shows the geographic impact of Ken-ichi Iyama'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 Ken-ichi Iyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken-ichi Iyama more than expected).
Fields of papers citing papers by Ken-ichi Iyama
This network shows the impact of papers produced by Ken-ichi Iyama. 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 Ken-ichi Iyama. The network helps show where Ken-ichi Iyama may publish in the future.
Co-authorship network of co-authors of Ken-ichi Iyama
This figure shows the co-authorship network connecting the top 25 collaborators of Ken-ichi Iyama. A scholar is included among the top collaborators of Ken-ichi Iyama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ken-ichi Iyama. Ken-ichi Iyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 8 | |
| 3 | 55 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 22 | |
| 8 | 39 | |
| 9 | 18 | |
| 10 | 66 | |
| 11 | 37 | |
| 12 | 8 | |
| 13 | 53 | |
| 14 | 45 | |
| 15 | 80 | |
| 16 | Overexpression of surfactant protein SP-A, SP-B, and SP-C mRNA in rat lungs with lipopolysaccharide-induced injury. | 51 |
| 17 | 27 | |
| 18 | 13 | |
| 19 | DIFFERENTIATION INVITRO OF MESENCHYMAL CELLS FROM CULTURED PREADIPOSE TISSUES | 1 |
| 20 | INVOLUTION OF SMOOTH-MUSCLE CELLS IN THE UTERINE MYOMETRIUM AFTER DELIVERY WITH SPECIAL REFERENCE TO PHAGOCYTOTIC CELLS | 1 |
About Ken-ichi Iyama
Ken-ichi Iyama is a scholar working on Immunology and Allergy, Gastroenterology and Genetics, having authored 82 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (9 papers), Gastrointestinal Tumor Research and Treatment (6 papers) and Metastasis and carcinoma case studies (5 papers). The work is most often cited by research in Immunology and Allergy (302 citations), Orthopedics and Sports Medicine (192 citations) and Cancer Research (325 citations). Ken-ichi Iyama has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroshi Mizuta, Kazuhiro Sugahara, Yoshikazu Sado, Junji Ide, Hidetoshi Sakamoto, Jun Hirose, Kenshi Kikukawa, Hideo Baba, Y Ninomiya and Megumi Kagawa. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and PLoS ONE.
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.