Koji Kitada
- Molecular Biology top 10%
- Oncology top 10%
- Cell Biology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Plant Science top 10%
- Co-authors
- Akio SuginoLeland H. JohnstonAndrew L. JohnsonKenji HamadaMikio ArisawaAtsushi OchiaiMitsuru SasakoWataru Ichikawa
- Topics
- Inflammatory Biomarkers in Disease Prognosis (10 papers)Gastric Cancer Management and Outcomes (9 papers)Fungal and yeast genetics research (9 papers)
- Cited by
- Cell BiologyGastroenterologyOncology
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Koji Kitada
41 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 698
- Oncology 286
- Cell Biology 280
- Pulmonary and Respiratory Medicine 247
- Plant Science 172
Countries citing papers authored by Koji Kitada
This map shows the geographic impact of Koji Kitada'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 Koji Kitada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koji Kitada more than expected).
Fields of papers citing papers by Koji Kitada
This network shows the impact of papers produced by Koji Kitada. 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 Koji Kitada. The network helps show where Koji Kitada may publish in the future.
Co-authorship network of co-authors of Koji Kitada
This figure shows the co-authorship network connecting the top 25 collaborators of Koji Kitada. A scholar is included among the top collaborators of Koji Kitada 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 Koji Kitada. Koji Kitada 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 | 4 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 22 | |
| 8 | [Local Recurrence of Rectal Cancer under Perineal Skin after Abdominoperineal Resection]. | 1 |
| 9 | 13 | |
| 10 | 55 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 185 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 24 | |
| 17 | [Prevention of drug interactions and its countermeasure]. | 3 |
| 18 | A multicopy suppressor gene of the Saccharomyces cerevisiae G1 cell cycle mutant gene dbf4 encodes protein kinase and is periodically expressed in the cell cycle | 2 |
| 19 | 82 | |
| 20 | 10 |
About Koji Kitada
Koji Kitada is a scholar working on Oncology, Gastroenterology and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (10 papers), Gastric Cancer Management and Outcomes (9 papers) and Fungal and yeast genetics research (9 papers). The work is most often cited by research in Cell Biology (280 citations), Gastroenterology (64 citations) and Oncology (286 citations). Koji Kitada has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Akio Sugino, Leland H. Johnston, Andrew L. Johnson, Kenji Hamada, Mikio Arisawa, Atsushi Ochiai, Mitsuru Sasako, Wataru Ichikawa, Issei Kurahashi and Takashi Sugino. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology 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.