Hideki Wakabayashi

516 total citations
18 papers, 390 citations indexed

About

Hideki Wakabayashi is a scholar working on Molecular Biology, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hideki Wakabayashi has authored 18 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in General Health Professions and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hideki Wakabayashi's work include 14-3-3 protein interactions (3 papers), Prion Diseases and Protein Misfolding (2 papers) and Health Policy Implementation Science (2 papers). Hideki Wakabayashi is often cited by papers focused on 14-3-3 protein interactions (3 papers), Prion Diseases and Protein Misfolding (2 papers) and Health Policy Implementation Science (2 papers). Hideki Wakabayashi collaborates with scholars based in Japan, Indonesia and United States. Hideki Wakabayashi's co-authors include Hiroshi Kido, Yutaka Nakaya, K Minami, Fumi Kishi, Akitoshi Nakano, Yousuke Takemura, Mihiro Yano, Yusei Shiga, Masanori Yoshizumi and Toshiaki Tamaki and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and FEBS Letters.

In The Last Decade

Hideki Wakabayashi

17 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hideki Wakabayashi Japan 9 149 137 124 54 53 18 390
Başak Şahin Türkiye 10 161 1.1× 36 0.3× 178 1.4× 51 0.9× 27 0.5× 28 478
Brynjar Foss Norway 15 194 1.3× 60 0.4× 91 0.7× 62 1.1× 16 0.3× 26 626
Jon C. Connelly United States 6 94 0.6× 177 1.3× 29 0.2× 123 2.3× 36 0.7× 6 458
Ching‐Tien Peng Taiwan 11 147 1.0× 63 0.5× 94 0.8× 61 1.1× 33 0.6× 24 479
Elizabeth Shea United States 12 138 0.9× 36 0.3× 47 0.4× 15 0.3× 21 0.4× 18 520
Katie Harvey United Kingdom 12 89 0.6× 52 0.4× 77 0.6× 18 0.3× 90 1.7× 17 462
Mark Toynbee United Kingdom 11 78 0.5× 21 0.2× 105 0.8× 28 0.5× 14 0.3× 17 480
Nerys Roberts United Kingdom 10 76 0.5× 131 1.0× 34 0.3× 12 0.2× 98 1.8× 60 431
MaryAnne Aitken Australia 18 68 0.5× 43 0.3× 24 0.2× 120 2.2× 26 0.5× 35 788

Countries citing papers authored by Hideki Wakabayashi

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Wakabayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Wakabayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Wakabayashi. A scholar is included among the top collaborators of Hideki Wakabayashi 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 Hideki Wakabayashi. Hideki Wakabayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wakabayashi, Hideki, et al.. (2024). What dress code do we teach students and residents? A survey of patients’ and their families’ preferences regarding physicians’ appearance. The Asia Pacific Scholar. 9(3). 32–40. 1 indexed citations
2.
Wakabayashi, Hideki, et al.. (2023). Mental health training in family medicine residencies: International curriculum overview. Journal of General and Family Medicine. 24(2). 63–71. 2 indexed citations
3.
Yamamoto, Takayuki, et al.. (2023). Impact of body composition on patient prognosis after SARS-Cov-2 infection. PLoS ONE. 18(7). e0289206–e0289206. 3 indexed citations
4.
5.
Yamada, Satoko, et al.. (2021). Cellulitis with persistent bacteremia caused by Campylobacter lari in a patient with mantle-cell lymphoma. IDCases. 23. e01053–e01053. 3 indexed citations
6.
Kato, Daisuke, Yuki Kataoka, Makoto Kaneko, et al.. (2020). Reporting Guidelines for Community-Based Participatory Research Did Not Improve the Reporting Quality of Published Studies: A Systematic Review of Studies on Smoking Cessation. International Journal of Environmental Research and Public Health. 17(11). 3898–3898. 7 indexed citations
7.
8.
Wakabayashi, Hideki, et al.. (2019). Family Caregivers’ Perspectives for the Effect of Social Support on their Care Burden and Quality of Life: A Mixed-Method Study in Rural and Sub-Urban Central Japan. The Tohoku Journal of Experimental Medicine. 247(3). 197–207. 26 indexed citations
9.
Kato, Daisuke, et al.. (2019). Identifying the learning objectives of clinical clerkship in community health in Japan: Focus group. Journal of General and Family Medicine. 21(2). 3–8. 6 indexed citations
10.
Wakabayashi, Hideki, et al.. (2018). Children and adolescents in institutional care versus traditional families: a quality of life comparison in Japan. Health and Quality of Life Outcomes. 16(1). 151–151. 7 indexed citations
11.
Shiga, Yusei, et al.. (2006). 14-3-3 protein levels and isoform patterns in the cerebrospinal fluid of Creutzfeldt-Jakob disease patients in the progressive and terminal stages. Journal of Clinical Neuroscience. 13(6). 661–665. 36 indexed citations
12.
Mukohara, Kei, et al.. (2004). Evaluation of a communication skills seminar for students in a Japanese medical school: a non-randomized controlled study. BMC Medical Education. 4(1). 24–24. 35 indexed citations
13.
Wakabayashi, Hideki, Mihiro Yano, Natsuo Tachikawa, et al.. (2001). Increased concentrations of 14-3-3ε, γ and ζ isoforms in cerebrospinal fluid of AIDS patients with neuronal destruction. Clinica Chimica Acta. 312(1-2). 97–105. 34 indexed citations
14.
Mori, Hiroshi, Masahiro Inoue, Mihiro Yano, Hideki Wakabayashi, & Hiroshi Kido. (2000). 14‐3‐3τ associates with a translational control factor FKBP12‐rapamycin‐associated protein in T‐cells after stimulation by pervanadate. FEBS Letters. 467(1). 61–64. 11 indexed citations
15.
Takahashi, Hidehiro, Yoshinori Kitagawa, Reisuke H. Takahashi, et al.. (1999). Increased Levels of ɛ and γ Isoforms of 14-3-3 Proteins in Cerebrospinal Fluid in Patients with Creutzfeldt-Jakob Disease. Clinical and Diagnostic Laboratory Immunology. 6(6). 983–985. 18 indexed citations
16.
Yoshizumi, Masanori, Daisuke Inui, Koichiro Tsuchiya, et al.. (1998). Endothelin-1-(1–31), a novel vasoactive peptide, increases [Ca2+]i in human coronary artery smooth muscle cells. European Journal of Pharmacology. 348(2-3). 305–309. 28 indexed citations
17.
Kido, Hiroshi, Ayako Nakano, Hideki Wakabayashi, et al.. (1998). Human Chymase, an Enzyme Forming Novel Bioactive 31-Amino Acid Length Endothelins. Biological Chemistry. 379(7). 885–892. 31 indexed citations
18.
Nakano, Akitoshi, Fumi Kishi, K Minami, et al.. (1997). Selective conversion of big endothelins to tracheal smooth muscle-constricting 31-amino acid-length endothelins by chymase from human mast cells. The Journal of Immunology. 159(4). 1987–1992. 137 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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