Nobuyuki Ono

5.0k total citations · 1 hit paper
98 papers, 4.0k citations indexed

About

Nobuyuki Ono is a scholar working on Immunology, Epidemiology and Rheumatology. According to data from OpenAlex, Nobuyuki Ono has authored 98 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 20 papers in Epidemiology and 20 papers in Rheumatology. Recurrent topics in Nobuyuki Ono's work include Virology and Viral Diseases (14 papers), Systemic Lupus Erythematosus Research (10 papers) and T-cell and B-cell Immunology (10 papers). Nobuyuki Ono is often cited by papers focused on Virology and Viral Diseases (14 papers), Systemic Lupus Erythematosus Research (10 papers) and T-cell and B-cell Immunology (10 papers). Nobuyuki Ono collaborates with scholars based in Japan, United States and Canada. Nobuyuki Ono's co-authors include Yusuke Yanagi, Hironobu Tatsuo, Kotaro Tanaka, Hiroko Minagawa, Pamela S. Ohashi, Fumio Seki, Makoto Takeda, Alisha R. Elford, Yasufumi Hidaka and Tomonobu Aoki and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Nobuyuki Ono

79 papers receiving 3.9k citations

Hit Papers

SLAM (CDw150) is a cellular receptor for measles virus 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nobuyuki Ono Japan 27 2.2k 1.4k 893 729 522 98 4.0k
A. Salmi Finland 32 2.0k 0.9× 1.4k 1.0× 1.1k 1.2× 412 0.6× 494 0.9× 180 4.3k
Marc Lopez France 35 1.7k 0.7× 2.2k 1.6× 385 0.4× 763 1.0× 1.3k 2.5× 69 5.0k
Don Gilden United States 41 4.1k 1.8× 892 0.6× 490 0.5× 281 0.4× 537 1.0× 157 6.3k
Sophie Hambleton United Kingdom 31 1.2k 0.5× 2.1k 1.5× 458 0.5× 745 1.0× 948 1.8× 91 4.2k
M. Kathryn Liszewski United States 46 1.9k 0.9× 4.4k 3.2× 1.1k 1.2× 757 1.0× 1.3k 2.5× 96 7.5k
Brian J. Thomson United Kingdom 31 1.6k 0.7× 399 0.3× 480 0.5× 279 0.4× 377 0.7× 79 3.1k
Machiko Nishio Japan 31 1.4k 0.6× 432 0.3× 875 1.0× 378 0.5× 588 1.1× 114 2.5k
James P. Stewart United Kingdom 40 3.0k 1.3× 731 0.5× 747 0.8× 233 0.3× 463 0.9× 142 4.8k
M B Oldstone United States 35 1.6k 0.7× 2.5k 1.8× 1.5k 1.7× 645 0.9× 694 1.3× 63 5.1k
Ravi Mahalingam United States 41 4.3k 1.9× 445 0.3× 402 0.5× 313 0.4× 467 0.9× 118 5.4k

Countries citing papers authored by Nobuyuki Ono

Since Specialization
Citations

This map shows the geographic impact of Nobuyuki Ono'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 Nobuyuki Ono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuyuki Ono more than expected).

Fields of papers citing papers by Nobuyuki Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nobuyuki Ono. 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 Nobuyuki Ono. The network helps show where Nobuyuki Ono may publish in the future.

Co-authorship network of co-authors of Nobuyuki Ono

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuyuki Ono. A scholar is included among the top collaborators of Nobuyuki Ono 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 Nobuyuki Ono. Nobuyuki Ono 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
3.
Kimoto, Yasutaka, Takuya Sawabe, Masahiro Ayano, et al.. (2022). Antibody response to SARS-CoV-2 mRNA vaccines in patients with rheumatic diseases in Japan: Interim analysis of a multicentre cohort study. Modern Rheumatology. 33(2). 367–372. 9 indexed citations
4.
Tada, Yoshifumi, Nobuyuki Ono, & Syuichi Koarada. (2021). Immediate Effect of Baricitinib on Arthritis and Biological Disease-Modifying Antirheumatic Drug-Induced Psoriasis-Like Skin Lesions in Two Patients with Rheumatoid Arthritis. SHILAP Revista de lepidopterología. 2021. 1–4. 1 indexed citations
5.
Matsui, Toshiki, et al.. (2020). DEVELOPMENT OF A MORPHOLOGY CHANGE MODEL TO EXAMINE COUNTERMEASURS AGAINST CLOSURE OF THE MOUTH OF HOJO-RIVER FLOODWAY. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 76(2). I_505–I_510.
6.
Ono, Nobuyuki, et al.. (2020). EFFECT OF BEACH NOURISHMENT ON HOT SPRING GROUNDWATER ENVIRONMENT IN IBUSUKI PORT COAST. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 76(2). I_85–I_90. 1 indexed citations
7.
Ono, Nobuyuki, et al.. (2019). DEVELOPMENT OF GROUNDWATER MODELING INCLUDING HEAT TRANSFER OF HOT SPRING WATERS IN IBUSUKI PORT COAST. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 75(2). I_43–I_48. 1 indexed citations
8.
Ono, Nobuyuki, et al.. (2019). FIELD OBSERVATION ON THE IMPACT OF BEACH NOURISHMENT ON HOT SPRING GROUNDWATER IN IBUSUKI PORT COAST. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 75(2). I_37–I_42. 1 indexed citations
9.
Tada, Yoshifumi, et al.. (2018). Are the 2016 EULAR/ACR/PRINTO classification criteria for macrophage activation syndrome applicable to patients with adult-onset Still’s disease?. Rheumatology International. 39(1). 97–104. 23 indexed citations
10.
Ono, Nobuyuki, et al.. (2018). FIELD OBSERVATION ON FLUCTUATION CHARACTERISTICS OF HOT SPRING GROUNDWATER IN IBUSUKI PORT COAST. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 74(2). I_85–I_90. 1 indexed citations
11.
Tada, Yoshifumi, Nobuyuki Ono, Rie Suematsu, et al.. (2016). The balance between Foxp3 and Ror-γt expression in peripheral blood is altered by tocilizumab and abatacept in patients with rheumatoid arthritis. BMC Musculoskeletal Disorders. 17(1). 290–290. 18 indexed citations
12.
Ono, Nobuyuki, et al.. (2013). Numerical Simulations of Channel Infilling and Sand Bar Deformation around Mouth of Takatsu River. Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering). 69(2). I_621–I_625.
13.
McCausland, Megan, et al.. (2007). SAP Regulation of Follicular Helper CD4 T Cell Development and Humoral Immunity Is Independent of SLAM and Fyn Kinase. The Journal of Immunology. 178(2). 817–828. 80 indexed citations
14.
Reed, Christopher W., Nicholas C. Kraus, Nobuyuki Ono, et al.. (2006). Two-Dimensional Depth-Averaged Circulation Model CMS-M2D: Version 3.0, Report 2, Sediment Transport and Morphology Change. US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core). 39 indexed citations
15.
Chen, Nien‐Jung, et al.. (2005). Accessory Protein-Like Is Essential for IL-18-Mediated Signaling. The Journal of Immunology. 174(9). 5351–5357. 57 indexed citations
16.
Mizuno, Risuke, Nobuyuki Ono, Fumitaka Ikomi, & Toshio Ohhashi. (2005). A New Preparation for Visualizing Lymphatic Flow Pathway in Isolated Rat Lymph Nodes. Lymphatic Research and Biology. 3(3). 127–136. 3 indexed citations
17.
Ono, Nobuyuki, et al.. (2002). Mechanism of Stabilization of Beach Profile Under Storm Waves.
18.
Ono, Nobuyuki, et al.. (2002). Study of Siltation Protection In Asian Ports. 3 indexed citations
19.
Yanagi, Yusuke, Nobuyuki Ono, Hironobu Tatsuo, Koji Hashimoto, & Hiroko Minagawa. (2002). Measles Virus Receptor SLAM (CD150). Virology. 299(2). 155–161. 66 indexed citations
20.
Tatsuo, Hironobu, Nobuyuki Ono, Kotaro Tanaka, & Yusuke Yanagi. (2000). . Uirusu. 50(2). 289–296. 8 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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