Takahisa Gono
- Rheumatology top 2%
- Eosinophilic Disorders and Syndromes 10
- Systemic Lupus Erythematosus Research 7
- Neurology top 5%
- Peripheral Neuropathies and Disorders 5
- Epidemiology top 10%
- Inflammatory Myopathies and Dermatomyositis 22
- Dermatology top 5%
- Hematology top 10%
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- Amyloidosis: Diagnosis, Treatment, Outcomes 13
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 10
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- Chronic Lymphocytic Leukemia Research 6
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- Systemic Sclerosis and Related Diseases 6
- Co-authors
- Shu‐ichi IkedaMasataka KuwanaMasayuki MatsudaYasuhiro ShimojimaWataru IshiiYuka OkazakiHiroshi MoritaShinji Sato
- Cited by
- RheumatologyNeurologyEpidemiology
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Annals of the Rheumatic Diseases (2 papers)
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Takahisa Gono
61 papers receiving 915 citations
Peers
Comparison fields: 5 of 54
- Rheumatology 386
- Neurology 204
- Epidemiology 412
- Dermatology 86
- Hematology 83
Countries citing papers authored by Takahisa Gono
This map shows the geographic impact of Takahisa Gono'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 Takahisa Gono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahisa Gono more than expected).
Fields of papers citing papers by Takahisa Gono
This network shows the impact of papers produced by Takahisa Gono. 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 Takahisa Gono. The network helps show where Takahisa Gono may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takahisa Gono, 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 | 4 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 8 | |
| 4 | 2020 | 68 | |
| 5 | 2020 | 127 | |
| 6 | 2019 | 11 | |
| 7 | 2016 | 28 | |
| 8 | 2016 | 5 | |
| 9 | 2008 | 10 | |
| 10 | Phenotypical analysis of lymphocytes using flow cytometry in dermatomyositis with and without interstitial pneumonia | 2006 | 3 |
| 11 | 2006 | 22 | |
| 12 | 2005 | 19 | |
| 13 | 2005 | 36 | |
| 14 | 2004 | 23 | |
| 15 | 2004 | 29 | |
| 16 | 2004 | 5 | |
| 17 | 2004 | 39 | |
| 18 | 2003 | 21 | |
| 19 | 2002 | 4 | |
| 20 | 2002 | 22 |
About Takahisa Gono
Takahisa Gono is a scholar working on Rheumatology, Hematology and Genetics, having authored 64 papers that have together received 927 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (22 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (13 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Eosinophilic Disorders and Syndromes (10 papers), Systemic Lupus Erythematosus Research (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Systemic Sclerosis and Related Diseases (6 papers) and Peripheral Neuropathies and Disorders (5 papers). The work is most often cited by research in Rheumatology (386 citations), Neurology (204 citations) and Epidemiology (412 citations). Takahisa Gono has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Shu‐ichi Ikeda, Masataka Kuwana, Masayuki Matsuda, Yasuhiro Shimojima, Wataru Ishii, Yuka Okazaki, Hiroshi Morita, Shinji Sato, Kenichi Masui and Yoshinobu Hoshii. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Annals of the Rheumatic Diseases.
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.