Nobuko Sera
Impact in
- Microbiology top 10%
-
- Thyroid Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
Papers in
-
- Diet, Metabolism, and Disease 3
- Co-authors
- Misa Imaizumi (17 shared papers)Ayumi Hida (15 shared papers)Masazumi Akahoshi (14 shared papers)Eiji Nakashima (13 shared papers)Shinichiro Ichimaru (8 shared papers)Koji Maemura (4 shared papers)Toshiro Usa (14 shared papers)Akira Tsuneto (2 shared papers)
- Journals
- Thyroid (6 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Clinical Endocrinology (2 papers)Circulation (1 paper)Radiation Research (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Nobuko Sera
31 papers receiving 777 citations
Peers
Comparison fields: 5 of 85
- Microbiology 11
- Endocrinology, Diabetes and Metabolism 172
- Cardiology and Cardiovascular Medicine 219
- Radiological and Ultrasound Technology 19
- Radiology, Nuclear Medicine and Imaging 81
Countries citing papers authored by Nobuko Sera
This map shows the geographic impact of Nobuko Sera'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 Nobuko Sera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuko Sera more than expected).
Fields of papers citing papers by Nobuko Sera
This network shows the impact of papers produced by Nobuko Sera. 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 Nobuko Sera. The network helps show where Nobuko Sera may publish in the future.
Co-authors
The 25 scholars most cited alongside Nobuko Sera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 185 | |
| 2 | 2010 | 77 | |
| 3 | 2000 | 73 | |
| 4 | 2012 | 45 | |
| 5 | 2011 | 44 | |
| 6 | 1994 | 38 | |
| 7 | 2000 | 35 | |
| 8 | 2010 | 32 | |
| 9 | 2010 | 30 | |
| 10 | 2014 | 28 | |
| 11 | 2000 | 25 | |
| 12 | 2001 | 24 | |
| 13 | 2000 | 20 | |
| 14 | 2001 | 19 | |
| 15 | 2000 | 17 | |
| 16 | 2008 | 17 | |
| 17 | 2014 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2001 | 13 | |
| 20 | 1998 | 10 |
About Nobuko Sera
Nobuko Sera is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Cancer Research, Epidemiology and Health, Toxicology and Mutagenesis, having authored 36 papers that have together received 815 indexed citations. Recurring topics across this work include Vasculitis and related conditions (3 papers), Diet, Metabolism, and Disease (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Cell death mechanisms and regulation (2 papers), NF-κB Signaling Pathways (2 papers), Birth, Development, and Health (2 papers), Vitamin D Research Studies (2 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Microbiology (11 citations), Endocrinology, Diabetes and Metabolism (172 citations), Cardiology and Cardiovascular Medicine (219 citations), Radiological and Ultrasound Technology (19 citations) and Radiology, Nuclear Medicine and Imaging (81 citations). Nobuko Sera has collaborated with scholars based in Japan and United States. Frequent co-authors include Misa Imaizumi, Ayumi Hida, Masazumi Akahoshi, Eiji Nakashima, Shinichiro Ichimaru, Koji Maemura, Toshiro Usa, Akira Tsuneto, Tan Tominaga and Kiyoto Ashizawa. Their work appears in journals such as Thyroid, The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Circulation and Radiation Research.
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.