Taku Nakashima
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Oncology top 10%
- Physiology top 10%
- Immunology
- Co-authors
- Noboru HattoriHiroshi IwamotoKazunori FujitakaTakeshi MasudaHironobu HamadaYasushi HorimasuShintaro MiyamotoKakuhiro Yamaguchi
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (46 papers)Lung Cancer Treatments and Mutations (16 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Taku Nakashima
112 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 118
- Pulmonary and Respiratory Medicine 818
- Molecular Biology 320
- Oncology 313
- Physiology 201
- Immunology 178
Countries citing papers authored by Taku Nakashima
This map shows the geographic impact of Taku Nakashima'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 Taku Nakashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taku Nakashima more than expected).
Fields of papers citing papers by Taku Nakashima
This network shows the impact of papers produced by Taku Nakashima. 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 Taku Nakashima. The network helps show where Taku Nakashima may publish in the future.
Co-authorship network of co-authors of Taku Nakashima
This figure shows the co-authorship network connecting the top 25 collaborators of Taku Nakashima. A scholar is included among the top collaborators of Taku Nakashima 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 Taku Nakashima. Taku Nakashima 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 | 1 | |
| 4 | 10 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 6 | |
| 17 | 12 | |
| 18 | 15 | |
| 19 | 15 | |
| 20 | 54 |
About Taku Nakashima
Taku Nakashima is a scholar working on Pulmonary and Respiratory Medicine, Clinical Biochemistry and Oncology, having authored 125 papers that have together received 1.5k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (46 papers), Lung Cancer Treatments and Mutations (16 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (818 citations), Oncology (313 citations) and Immunology (178 citations). Taku Nakashima has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Noboru Hattori, Hiroshi Iwamoto, Kazunori Fujitaka, Takeshi Masuda, Hironobu Hamada, Yasushi Horimasu, Shintaro Miyamoto, Kakuhiro Yamaguchi, Shinjiro Sakamoto and Nobuoki Kohno. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.