Kenji Nishii
- Co-authors
- Katsuyuki KiuraHiroshi UeokaMasahiro TabataTakuo ShibayamaMitsune TanimotoKatsuyuki HottaMotoi AoeTakeyuki Numata
- Topics
- Lung Cancer Diagnosis and Treatment (10 papers)Lung Cancer Treatments and Mutations (8 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
- Partner nations
- JapanUnited KingdomRussia
In The Last Decade
Kenji Nishii
25 papers receiving 545 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 200
- Pulmonary and Respiratory Medicine 192
- Oncology 183
- Epidemiology 120
- Cancer Research 93
Countries citing papers authored by Kenji Nishii
This map shows the geographic impact of Kenji Nishii'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 Nishii with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenji Nishii more than expected).
Fields of papers citing papers by Kenji Nishii
This network shows the impact of papers produced by Kenji Nishii. 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 Nishii. The network helps show where Kenji Nishii may publish in the future.
Co-authorship network of co-authors of Kenji Nishii
This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Nishii. A scholar is included among the top collaborators of Kenji Nishii 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 Nishii. Kenji Nishii 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 | 1 | |
| 3 | 29 | |
| 4 | 2 | |
| 5 | Recruitment for “A pilot study of randomized controlled trial to evaluate the efficacy of lung cancer screening by thoracic CT” | 1 |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 24 | |
| 9 | 2 | |
| 10 | Profile of phospho-proteins according to LKB1 gene status in lung cancer cells | 1 |
| 11 | 1 | |
| 12 | 41 | |
| 13 | [Discussing the current situation of tuberculosis case-finding by mass miniature radiography in Japan]. | 2 |
| 14 | [Preventive therapy in middle-aged and elderly persons selected from the population-based screening by mass miniature radiography--methodological aspect and adverse reactions]. | 1 |
| 15 | 2 | |
| 16 | 125 | |
| 17 | 48 | |
| 18 | [Gingival metastasis of large-cell lung cancer that produced G-CSF]. | 3 |
| 19 | 0 | |
| 20 | 18 |
About Kenji Nishii
Kenji Nishii is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Orthopedics and Sports Medicine, having authored 30 papers that have together received 572 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (10 papers), Lung Cancer Treatments and Mutations (8 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Oncology (183 citations), Cancer Research (93 citations) and Pulmonary and Respiratory Medicine (192 citations). Kenji Nishii has collaborated with scholars based in Japan, United Kingdom and Russia. Frequent co-authors include Katsuyuki Kiura, Hiroshi Ueoka, Masahiro Tabata, Takuo Shibayama, Mitsune Tanimoto, Katsuyuki Hotta, Motoi Aoe, Takeyuki Numata, Nobuyuki Miyatake and Mine Harada. Their work appears in journals such as PLoS ONE, Cancer Research and Clinical Cancer Research.
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.