Takeshi Shoda
- Rheumatology top 5%
- Eosinophilic Disorders and Syndromes 12
- Epidemiology top 10%
- Inflammatory Myopathies and Dermatomyositis 15
- Dermatology top 5%
- Skin Diseases and Diabetes 4
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 14
- Vasculitis and related conditions 8
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- Systemic Sclerosis and Related Diseases 7
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- Sarcoidosis and Beryllium Toxicity Research 5
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- Renal Diseases and Glomerulopathies 3
- Co-authors
- Takuya KotaniTohru TakeuchiShigeki MakinoToshiaki HanafusaShuzo YoshidaKenichiro HataTakaaki IshidaKoji Nagai
- Cited by
- RheumatologyEpidemiologyDermatology
- Partner nations
- JapanUnited States
In The Last Decade
Takeshi Shoda
35 papers receiving 600 citations
Peers
Comparison fields: 5 of 73
- Rheumatology 263
- Epidemiology 331
- Dermatology 75
- Pulmonary and Respiratory Medicine 259
- Immunology 108
Countries citing papers authored by Takeshi Shoda
This map shows the geographic impact of Takeshi Shoda'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 Takeshi Shoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Shoda more than expected).
Fields of papers citing papers by Takeshi Shoda
This network shows the impact of papers produced by Takeshi Shoda. 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 Takeshi Shoda. The network helps show where Takeshi Shoda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takeshi Shoda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 18 | |
| 8 | 2021 | 24 | |
| 9 | 2020 | 15 | |
| 10 | 2017 | 25 | |
| 11 | 2017 | 33 | |
| 12 | 2017 | 3 | |
| 13 | 2014 | 37 | |
| 14 | 2013 | 74 | |
| 15 | 2011 | 62 | |
| 16 | 2010 | 1 | |
| 17 | [A fulminant case of systemic sclerosis/dermatomyositis complicating thrombotic microangiopathy and diffuse alveolar hemorrhage]. | 2009 | 3 |
| 18 | 2008 | 3 | |
| 19 | 2007 | 10 | |
| 20 | 2007 | 1 |
About Takeshi Shoda
Takeshi Shoda is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 37 papers that have together received 616 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (15 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (14 papers), Eosinophilic Disorders and Syndromes (12 papers), Vasculitis and related conditions (8 papers), Systemic Sclerosis and Related Diseases (7 papers), Sarcoidosis and Beryllium Toxicity Research (5 papers), Skin Diseases and Diabetes (4 papers) and Renal Diseases and Glomerulopathies (3 papers). The work is most often cited by research in Rheumatology (263 citations), Epidemiology (331 citations) and Dermatology (75 citations). Takeshi Shoda has collaborated with scholars based in Japan and United States. Frequent co-authors include Takuya Kotani, Tohru Takeuchi, Shigeki Makino, Toshiaki Hanafusa, Shuzo Yoshida, Kenichiro Hata, Takaaki Ishida, Koji Nagai, Kentaro Isoda and Youhei Fujiki. Their work appears in journals such as PLoS ONE, Macromolecules and Scientific Reports.
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.