Shoji Kudoh
- Pulmonary and Respiratory Medicine top 0.2%
- Molecular Biology top 5%
- Epidemiology top 1%
- Physiology top 1%
- Oncology top 2%
- Co-authors
- Arata AzumaAkihiko GemmaNaoto KeichoMasahiro SeikeMoritaka SugaMasayuki AndoHajime TakizawaToshihiro Nukiwa
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (84 papers)Lung Cancer Treatments and Mutations (38 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (29 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical OncologyThe Journal of Immunology
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Shoji Kudoh
250 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Pulmonary and Respiratory Medicine 5.2k
- Molecular Biology 2.0k
- Epidemiology 1.7k
- Physiology 1.6k
- Oncology 1.5k
Countries citing papers authored by Shoji Kudoh
This map shows the geographic impact of Shoji Kudoh'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 Shoji Kudoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoji Kudoh more than expected).
Fields of papers citing papers by Shoji Kudoh
This network shows the impact of papers produced by Shoji Kudoh. 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 Shoji Kudoh. The network helps show where Shoji Kudoh may publish in the future.
Co-authorship network of co-authors of Shoji Kudoh
This figure shows the co-authorship network connecting the top 25 collaborators of Shoji Kudoh. A scholar is included among the top collaborators of Shoji Kudoh 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 Shoji Kudoh. Shoji Kudoh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 23 | |
| 4 | 141 | |
| 5 | 4 | |
| 6 | Historical changes in epidemiology of diffuse panbronchiolitis. | 7 |
| 7 | 67 | |
| 8 | 81 | |
| 9 | 365 | |
| 10 | 49 | |
| 11 | Double-blind, Placebo-controlled Trial of Pirfenidone in Patients with Idiopathic Pulmonary Fibrosisbreakdown → | 681 |
| 12 | 51 | |
| 13 | 14 | |
| 14 | 8 | |
| 15 | 116 | |
| 16 | 3 | |
| 17 | 3 | |
| 18 | Improvement of Survival in Patients with Diffuse Panbronchiolitis Treated with Low-dose Erythromycinbreakdown → | 444 |
| 19 | 40 | |
| 20 | 36 |
About Shoji Kudoh
Shoji Kudoh is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Speech and Hearing, having authored 258 papers that have together received 9.5k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (84 papers), Lung Cancer Treatments and Mutations (38 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (29 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (5.2k citations), Physiology (1.6k citations) and Oncology (1.5k citations). Shoji Kudoh has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Arata Azuma, Akihiko Gemma, Naoto Keicho, Masahiro Seike, Moritaka Suga, Masayuki Ando, Hajime Takizawa, Toshihiro Nukiwa, Yoshio Taguchi and Koichiro Nakata. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of Immunology.
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.