T. Nukiwa
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 2%
- Molecular Biology top 10%
- Cancer Research top 2%
- Physiology top 5%
- Co-authors
- Ronald G. CrystalArata AzumaHidekazu TakahashiKuniaki SeyamaMasahito EbinaG A FellsYasuo SaijoPaul Basset
- Topics
- Lung Cancer Treatments and Mutations (20 papers)Lung Cancer Research Studies (15 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
T. Nukiwa
74 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Pulmonary and Respiratory Medicine 2.1k
- Oncology 1.2k
- Molecular Biology 1.0k
- Cancer Research 728
- Physiology 686
Countries citing papers authored by T. Nukiwa
This map shows the geographic impact of T. Nukiwa'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 T. Nukiwa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nukiwa more than expected).
Fields of papers citing papers by T. Nukiwa
This network shows the impact of papers produced by T. Nukiwa. 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 T. Nukiwa. The network helps show where T. Nukiwa may publish in the future.
Co-authorship network of co-authors of T. Nukiwa
This figure shows the co-authorship network connecting the top 25 collaborators of T. Nukiwa. A scholar is included among the top collaborators of T. Nukiwa 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 T. Nukiwa. T. Nukiwa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 14 | |
| 3 | 10 | |
| 4 | 24 | |
| 5 | Updated overall survival results from a randomized phase III trial comparing gefitinib with carboplatin–paclitaxel for chemo-naïve non-small cell lung cancer with sensitive EGFR gene mutations (NEJ002)breakdown → | 427 |
| 6 | 14 | |
| 7 | Pirfenidone in idiopathic pulmonary fibrosisbreakdown → | 686 |
| 8 | 24 | |
| 9 | 27 | |
| 10 | 36 | |
| 11 | 27 | |
| 12 | 8 | |
| 13 | 40 | |
| 14 | 23 | |
| 15 | 34 | |
| 16 | 40 | |
| 17 | Dose-finding study on NM441 in chronic respiratory tract infections | 1 |
| 18 | Rate of occurrence of mutations at Ser-84 in Staphylococcus aureus DNA gyrase A protein | 2 |
| 19 | 100 | |
| 20 | 43 |
About T. Nukiwa
T. Nukiwa is a scholar working on Oncology, Immunology and Allergy and Pulmonary and Respiratory Medicine, having authored 76 papers that have together received 3.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (20 papers), Lung Cancer Research Studies (15 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.1k citations), Cancer Research (728 citations) and Oncology (1.2k citations). T. Nukiwa has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Ronald G. Crystal, Arata Azuma, Hidekazu Takahashi, Kuniaki Seyama, Masahito Ebina, G A Fells, Yasuo Saijo, Paul Basset, Makoto Maemondo and Mark Brantly. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.