Nobuhide Hayashi

1.4k total citations
42 papers, 1.0k citations indexed

About

Nobuhide Hayashi is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Nobuhide Hayashi has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Rheumatology, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Surgery. Recurrent topics in Nobuhide Hayashi's work include Monoclonal and Polyclonal Antibodies Research (11 papers), Systemic Lupus Erythematosus Research (7 papers) and Muscle Physiology and Disorders (6 papers). Nobuhide Hayashi is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (11 papers), Systemic Lupus Erythematosus Research (7 papers) and Muscle Physiology and Disorders (6 papers). Nobuhide Hayashi collaborates with scholars based in Japan, United States and China. Nobuhide Hayashi's co-authors include M. Koshiba, Shunichi Kumagai, Seiji Kawano, Joel Linden, Michail V. Sitkovsky, Diane L. Rosin, Tomoo Yoshie, Takashi Kobayashi, Atsuki Ikeda and Daisuke Sugiyama and has published in prestigious journals such as Circulation, PLoS ONE and Scientific Reports.

In The Last Decade

Nobuhide Hayashi

39 papers receiving 995 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nobuhide Hayashi Japan 12 423 205 147 144 139 42 1.0k
Nobuyuki Yasuda Japan 19 332 0.8× 188 0.9× 156 1.1× 41 0.3× 128 0.9× 43 1.1k
Gurjeet Bhangal United Kingdom 20 401 0.9× 123 0.6× 353 2.4× 50 0.3× 52 0.4× 32 1.2k
Frederick W.K. Tam United Kingdom 17 239 0.6× 143 0.7× 297 2.0× 36 0.3× 88 0.6× 28 984
Daryl M. Okamura United States 19 521 1.2× 77 0.4× 261 1.8× 132 0.9× 18 0.1× 34 1.4k
Zachary Oaks United States 15 390 0.9× 371 1.8× 450 3.1× 85 0.6× 36 0.3× 20 1.0k
Chiharu Tabata Japan 21 376 0.9× 38 0.2× 185 1.3× 93 0.6× 42 0.3× 73 1.3k
Suzanne J.A. Korporaal Netherlands 22 341 0.8× 73 0.4× 258 1.8× 165 1.1× 28 0.2× 51 1.5k
Puneet Garg United States 18 538 1.3× 103 0.5× 83 0.6× 54 0.4× 40 0.3× 48 1.5k
Antonella Capozzi Italy 22 462 1.1× 729 3.6× 348 2.4× 54 0.4× 32 0.2× 71 1.5k
Xiaoxu Zhou China 17 424 1.0× 28 0.1× 87 0.6× 72 0.5× 70 0.5× 46 992

Countries citing papers authored by Nobuhide Hayashi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Yamamoto, Tetsushi, et al.. (2017). Claviform aspergillus‐related vegetation in the left ventricle of a patient with systemic lupus erythematosus. Journal of Clinical Ultrasound. 46(3). 231–232. 4 indexed citations
3.
Hayashi, Nobuhide, et al.. (2017). Removal of a malignant cystic brain tumor utilizing pyoktanin blue and fibrin glue: Technical note. Surgical Neurology International. 8(1). 24–24. 8 indexed citations
4.
Yamamoto, Tetsushi, Hidekazu Tanaka, Nobuhide Hayashi, et al.. (2016). Very early stage left ventricular endocardial dysfunction of patients with hypereosinophilic syndrome. International journal of cardiac imaging. 32(9). 1357–1361. 6 indexed citations
5.
Ōnishi, Akira, Yuji Nakamachi, Nobuhide Hayashi, et al.. (2016). Telomeric Region of the Spinal Muscular Atrophy Locus Is Susceptible to Structural Variations. Pediatric Neurology. 58. 83–89. 7 indexed citations
6.
Osawa, Kayo, Itsuko Sato, Sota Iwatani, et al.. (2016). Age-specific percentile-based reference curve of serum procalcitonin concentrations in Japanese preterm infants. Scientific Reports. 6(1). 23871–23871. 24 indexed citations
7.
Kobayashi, Takashi, Shin Nishiumi, Atsuki Ikeda, et al.. (2013). A Novel Serum Metabolomics-Based Diagnostic Approach to Pancreatic Cancer. Cancer Epidemiology Biomarkers & Prevention. 22(4). 571–579. 137 indexed citations
8.
9.
Tanaka, Hidekazu, Tetsushi Yamamoto, Tomoko Lee, et al.. (2013). Rapid Progression of Neuromuscular Disorder Related Cardiomyopathy in a Young Patient. Internal Medicine. 52(24). 2771–2775.
10.
Hayashi, Nobuhide, et al.. (2013). Comparison of nine second- and third-generation anti-cyclic citrullinated peptide antibody assays for the diagnosis of rheumatoid arthritis. Japanese Journal of Clinical Immunology. 36(2). 104–114. 1 indexed citations
11.
Yamamoto, Tetsushi, Seiji Kawano, Daisuke Sugiyama, et al.. (2012). Predicting scores for left ventricular dysfunction in Duchenne muscular dystrophy. Pediatrics International. 54(3). 388–392. 4 indexed citations
12.
Yamamoto, Tetsushi, Hidekazu Tanaka, Kensuke Matsumoto, et al.. (2012). Utility of Transmural Myocardial Strain Profile for Prediction of Early Left Ventricular Dysfunction in Patients With Duchenne Muscular Dystrophy. The American Journal of Cardiology. 111(6). 902–907. 20 indexed citations
13.
Nishiumi, Shin, Takashi Kobayashi, Atsuki Ikeda, et al.. (2012). A Novel Serum Metabolomics-Based Diagnostic Approach for Colorectal Cancer. PLoS ONE. 7(7). e40459–e40459. 204 indexed citations
14.
Hayashi, Nobuhide, et al.. (2011). [Usefulness of anti-SS-A/Ro antibody measurement based on fluorescence enzyme immunoassay with Ro60 and Ro52 antigen].. PubMed. 59(4). 352–9. 1 indexed citations
15.
Yamamoto, Tetsushi, Tetsuari Onishi, Kazuhiro Tatsumi, et al.. (2010). Isolated true parachute mitral valve in an asymptomatic elderly patient. Journal of Echocardiography. 8(4). 131–132. 1 indexed citations
16.
Hayashi, Nobuhide, Kunihiro Nishimura, & Shunichi Kumagai. (2008). [New biomarkers for rheumatoid arthritis].. PubMed. 56(4). 297–308. 3 indexed citations
17.
Nakamura, Tsutomu, Takeshi Ioroi, Toshiyuki Sakaeda, et al.. (2006). Serum cystatin C levels to predict serum concentration of digoxin in Japanese patients. International Journal of Medical Sciences. 3(3). 92–96. 8 indexed citations
18.
Hayashi, Nobuhide, et al.. (2004). [Usefulness of anti-cyclic citrullinated peptide antibodies (anti-CCP) for the diagnosis of rheumatoid arthritis].. PubMed. 52(12). 966–72. 6 indexed citations
19.
Hayashi, Nobuhide & Shunichi Kumagai. (2003). [New diagnostic tests for rheumatoid arthritis].. PubMed. 51(10). 1030–5. 8 indexed citations
20.
Saegusa, Jun, Seiji Kawano, M. Koshiba, et al.. (2002). Oxidative stress mediates cell surface expression of SS-A/Ro antigen on keratinocytes. Free Radical Biology and Medicine. 32(10). 1006–1016. 31 indexed citations

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.

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