Nobuhide Hayashi
- Molecular Biology
- Rheumatology top 5%
- Immunology
- Cancer Research
- Physiology top 2%
- Co-authors
- M. KoshibaShunichi KumagaiSeiji KawanoMichail V. SitkovskyDiane L. RosinJoel LindenTakeshi AzumaYoshihiro Izumi
- Topics
- Monoclonal and Polyclonal Antibodies Research (11 papers)Systemic Lupus Erythematosus Research (7 papers)Muscle Physiology and Disorders (6 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Nobuhide Hayashi
39 papers receiving 995 citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 423
- Rheumatology 205
- Immunology 147
- Cancer Research 144
- Physiology 139
Countries citing papers authored by Nobuhide Hayashi
This map shows the geographic impact of Nobuhide Hayashi'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 Nobuhide Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuhide Hayashi more than expected).
Fields of papers citing papers by Nobuhide Hayashi
This network shows the impact of papers produced by Nobuhide Hayashi. 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 Nobuhide Hayashi. The network helps show where Nobuhide Hayashi may publish in the future.
Co-authorship network of co-authors of Nobuhide Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuhide Hayashi. A scholar is included among the top collaborators of Nobuhide Hayashi 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 Nobuhide Hayashi. Nobuhide Hayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 24 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 137 | |
| 10 | 20 | |
| 11 | 4 | |
| 12 | 204 | |
| 13 | [Usefulness of anti-SS-A/Ro antibody measurement based on fluorescence enzyme immunoassay with Ro60 and Ro52 antigen]. | 1 |
| 14 | 1 | |
| 15 | 104 | |
| 16 | [New biomarkers for rheumatoid arthritis]. | 3 |
| 17 | 8 | |
| 18 | [Usefulness of anti-cyclic citrullinated peptide antibodies (anti-CCP) for the diagnosis of rheumatoid arthritis]. | 6 |
| 19 | [New diagnostic tests for rheumatoid arthritis]. | 8 |
| 20 | 31 |
About Nobuhide Hayashi
Nobuhide Hayashi is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 42 papers that have together received 1.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Systemic Lupus Erythematosus Research (7 papers) and Muscle Physiology and Disorders (6 papers). The work is most often cited by research in Physiology (139 citations), Rheumatology (205 citations) and Cancer Research (144 citations). Nobuhide Hayashi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include M. Koshiba, Shunichi Kumagai, Seiji Kawano, Michail V. Sitkovsky, Diane L. Rosin, Joel Linden, Takeshi Azuma, Yoshihiro Izumi, Shin Nishiumi and Tomoo Yoshie. Their work appears in journals such as Circulation, PLoS ONE 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.