Keizo Kageyama
- Pulmonary and Respiratory Medicine top 5%
- Pathology and Forensic Medicine top 10%
- Oncology
- Molecular Biology
- Rheumatology top 10%
- Co-authors
- Chikao TorikataHisami IriKazuhiro YakumaruToshiaki KawaiMasaru MukaiMinoru SuzukiAtsuo MikataMakio Mukai
- Topics
- Sarcoma Diagnosis and Treatment (6 papers)Medical Imaging and Pathology Studies (5 papers)Glycosylation and Glycoproteins Research (4 papers)
- Journals
- BloodCancerCHEST Journal
- Partner nations
- JapanUnited States
In The Last Decade
Keizo Kageyama
42 papers receiving 655 citations
Peers
Comparison fields: 5 of 76
- Pulmonary and Respiratory Medicine 398
- Pathology and Forensic Medicine 173
- Oncology 162
- Molecular Biology 108
- Rheumatology 107
Countries citing papers authored by Keizo Kageyama
This map shows the geographic impact of Keizo Kageyama'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 Keizo Kageyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keizo Kageyama more than expected).
Fields of papers citing papers by Keizo Kageyama
This network shows the impact of papers produced by Keizo Kageyama. 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 Keizo Kageyama. The network helps show where Keizo Kageyama may publish in the future.
Co-authorship network of co-authors of Keizo Kageyama
This figure shows the co-authorship network connecting the top 25 collaborators of Keizo Kageyama. A scholar is included among the top collaborators of Keizo Kageyama 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 Keizo Kageyama. Keizo Kageyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | Spontaneous olfactory neuroepithelioma in a domestic medaka (Oryzias latipes). | 13 |
| 3 | 4 | |
| 4 | 6 | |
| 5 | Histogenesis of clear cell sarcoma of tendons and aponeuroses. An electron-microscopic, biochemical, enzyme histochemical, and immunohistochemical study. | 45 |
| 6 | 8 | |
| 7 | 33 | |
| 8 | Multiple bone marrow necrosis and disseminated intravascular coagulation. | 22 |
| 9 | [Etiological studies of Hodgkin's disease]. | 0 |
| 10 | 23 | |
| 11 | 14 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | Chemotactic effect of soluble antigen-Antibody Complexes | 1 |
| 19 | 0 | |
| 20 | 1 |
About Keizo Kageyama
Keizo Kageyama is a scholar working on Structural Biology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 47 papers that have together received 718 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (6 papers), Medical Imaging and Pathology Studies (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (398 citations), Pathology and Forensic Medicine (173 citations) and Oral Surgery (54 citations). Keizo Kageyama has collaborated with scholars based in Japan and United States. Frequent co-authors include Chikao Torikata, Hisami Iri, Kazuhiro Yakumaru, Toshiaki Kawai, Masaru Mukai, Minoru Suzuki, Atsuo Mikata, Makio Mukai, Hironari Hanaoka and Yukío Shimosato. Their work appears in journals such as Blood, Cancer and CHEST Journal.
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.