Kenji Kido
- Oncology top 10%
- Molecular Biology
- Immunology
- Pulmonary and Respiratory Medicine
- Pathology and Forensic Medicine
- Co-authors
- Toshiaki SaidaMinoru TakataHiroshi MurataYasufumi GotoAtsuko AshidaYutaka KawakamiHidetoshi SumimotoTomonori Yaguchi
- Topics
- Lung Cancer Treatments and Mutations (3 papers)Glycosylation and Glycoproteins Research (2 papers)melanin and skin pigmentation (2 papers)
- Cited by
- OncologyImmunologyCancer Research
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyJNCI Journal of the National Cancer Institute
- Partner nations
- JapanUnited States
In The Last Decade
Kenji Kido
13 papers receiving 463 citations
Peers
Comparison fields: 5 of 53
- Oncology 272
- Molecular Biology 213
- Immunology 125
- Pulmonary and Respiratory Medicine 99
- Pathology and Forensic Medicine 68
Countries citing papers authored by Kenji Kido
This map shows the geographic impact of Kenji Kido'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 Kenji Kido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Kido more than expected).
Fields of papers citing papers by Kenji Kido
This network shows the impact of papers produced by Kenji Kido. 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 Kenji Kido. The network helps show where Kenji Kido may publish in the future.
Co-authorship network of co-authors of Kenji Kido
This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Kido. A scholar is included among the top collaborators of Kenji Kido 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 Kenji Kido. Kenji Kido is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 43 | |
| 8 | 11 | |
| 9 | 49 | |
| 10 | 125 | |
| 11 | 50 | |
| 12 | 27 | |
| 13 | 105 | |
| 14 | 33 | |
| 15 | DNA ploidy, Ki-67 and p53 as indicators of lymph node metastasis in early gastric carcinoma. | 17 |
| 16 | Significance of low doses of 15-deoxyspergualin in agarose-microencapsulated discordant islet xenotransplantation. | 1 |
| 17 | Indefinite graft survival of discordant islet xenografts in the NOD mouse with agarose microencapsulation and 15-deoxyspergualin. | 1 |
About Kenji Kido
Kenji Kido is a scholar working on Cell Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 17 papers that have together received 469 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), Glycosylation and Glycoproteins Research (2 papers) and melanin and skin pigmentation (2 papers). The work is most often cited by research in Oncology (272 citations), Immunology (125 citations) and Cancer Research (59 citations). Kenji Kido has collaborated with scholars based in Japan and United States. Frequent co-authors include Toshiaki Saida, Minoru Takata, Hiroshi Murata, Yasufumi Goto, Atsuko Ashida, Yutaka Kawakami, Hidetoshi Sumimoto, Tomonori Yaguchi, Tomonobu Fujita and Chie Kudo‐Saito. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and JNCI Journal of the National Cancer Institute.
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.