Kazuro Iwai
- Physiology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Epidemiology top 10%
- Molecular Biology
- Surgery
- Co-authors
- Yasuo MatsuiT TachibanaYoshinori KawabataTamiko TakemuraRiichiro MikamiO HongoMasahiko YamamotoNobuaki Shigematsu
- Topics
- Sarcoidosis and Beryllium Toxicity Research (10 papers)Mycobacterium research and diagnosis (10 papers)Tuberculosis Research and Epidemiology (8 papers)
- Partner nations
- JapanUnited StatesNepal
In The Last Decade
Kazuro Iwai
43 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 105
- Physiology 939
- Pulmonary and Respiratory Medicine 872
- Epidemiology 339
- Molecular Biology 229
- Surgery 190
Countries citing papers authored by Kazuro Iwai
This map shows the geographic impact of Kazuro Iwai'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 Kazuro Iwai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuro Iwai more than expected).
Fields of papers citing papers by Kazuro Iwai
This network shows the impact of papers produced by Kazuro Iwai. 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 Kazuro Iwai. The network helps show where Kazuro Iwai may publish in the future.
Co-authorship network of co-authors of Kazuro Iwai
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuro Iwai. A scholar is included among the top collaborators of Kazuro Iwai 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 Kazuro Iwai. Kazuro Iwai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 141 | |
| 3 | 29 | |
| 4 | 31 | |
| 5 | [Archaeology of tubercle bacilli and tuberculosis]. | 3 |
| 6 | 76 | |
| 7 | 65 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 72 | |
| 11 | 30 | |
| 12 | 94 | |
| 13 | Excess death of lung cancer among sarcoidosis patients. | 55 |
| 14 | 8 | |
| 15 | [Case-control study on the prevalence of pleural thickening in three groups of different grades of asbestos exposure]. | 1 |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | [Interstitial pneumonia developing during chrysotherapy]. | 4 |
| 20 | 1 |
About Kazuro Iwai
Kazuro Iwai is a scholar working on Pulmonary and Respiratory Medicine, Small Animals and Infectious Diseases, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sarcoidosis and Beryllium Toxicity Research (10 papers), Mycobacterium research and diagnosis (10 papers) and Tuberculosis Research and Epidemiology (8 papers). The work is most often cited by research in Physiology (939 citations), Pulmonary and Respiratory Medicine (872 citations) and Health, Toxicology and Mutagenesis (182 citations). Kazuro Iwai has collaborated with scholars based in Japan, United States and Nepal. Frequent co-authors include Yasuo Matsui, T Tachibana, Yoshinori Kawabata, Tamiko Takemura, Riichiro Mikami, O Hongo, Masahiko Yamamoto, Nobuaki Shigematsu, Yutaka Hosoda and Akihiko Homma. Their work appears in journals such as Annals of the New York Academy of Sciences, Environmental Research and Human Pathology.
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.