Nobuya Kitaguchi

2.2k total citations · 1 hit paper
38 papers, 1.8k citations indexed

About

Nobuya Kitaguchi is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Nobuya Kitaguchi has authored 38 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Physiology, 12 papers in Psychiatry and Mental health and 11 papers in Molecular Biology. Recurrent topics in Nobuya Kitaguchi's work include Alzheimer's disease research and treatments (28 papers), Dementia and Cognitive Impairment Research (9 papers) and Bipolar Disorder and Treatment (8 papers). Nobuya Kitaguchi is often cited by papers focused on Alzheimer's disease research and treatments (28 papers), Dementia and Cognitive Impairment Research (9 papers) and Bipolar Disorder and Treatment (8 papers). Nobuya Kitaguchi collaborates with scholars based in Japan, Italy and Germany. Nobuya Kitaguchi's co-authors include Satoshi Shiojiri, Hirataka Ito, Yasuo Tokushima, Yasuyuki Takahashi, Shigenobu Nakamura, Jun Kimura, Masakuni Kameyama, Seigo Tanaka, Wataru Araki and Kazuhiro Ishii and has published in prestigious journals such as Nature, Biochemical and Biophysical Research Communications and Acta Neuropathologica.

In The Last Decade

Nobuya Kitaguchi

38 papers receiving 1.7k citations

Hit Papers

Novel precursor of Alzheimer's disease amyloid protein sh... 1988 2026 2000 2013 1988 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
Nobuya Kitaguchi Japan 15 1.5k 1.0k 296 268 202 38 1.8k
Vicki Olm United States 8 1.2k 0.8× 704 0.7× 395 1.3× 291 1.1× 177 0.9× 8 1.7k
Blas Frangione United States 11 1.4k 0.9× 908 0.9× 179 0.6× 240 0.9× 240 1.2× 11 1.6k
Nancy C. Stratman United States 10 1.1k 0.8× 693 0.7× 279 0.9× 474 1.8× 353 1.7× 14 1.5k
Charlotte Forsell Sweden 18 1.3k 0.9× 882 0.9× 226 0.8× 280 1.0× 205 1.0× 35 1.7k
Lujia Zhou Belgium 13 1.2k 0.8× 650 0.6× 417 1.4× 315 1.2× 200 1.0× 17 1.6k
M. S. Shearman United Kingdom 17 860 0.6× 1.1k 1.1× 486 1.6× 251 0.9× 141 0.7× 23 1.8k
Raphaëlle Pardossi‐Piquard France 19 1.3k 0.9× 837 0.8× 348 1.2× 369 1.4× 179 0.9× 29 1.7k
Mary F. Knauer United States 13 1.2k 0.8× 798 0.8× 222 0.8× 273 1.0× 240 1.2× 16 1.6k
Lucia Pastorino United States 23 1.1k 0.8× 1.4k 1.4× 596 2.0× 354 1.3× 180 0.9× 31 2.3k
Hongjin Wen United States 5 1.1k 0.8× 588 0.6× 291 1.0× 506 1.9× 355 1.8× 6 1.5k

Countries citing papers authored by Nobuya Kitaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Nobuya Kitaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuya Kitaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuya Kitaguchi. A scholar is included among the top collaborators of Nobuya Kitaguchi 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 Nobuya Kitaguchi. Nobuya Kitaguchi 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.
Kitaguchi, Nobuya, Kazunori Kawaguchi, Kazunori Yamazaki, et al.. (2021). Aβ Influx into the Blood Evoked by Different Blood Aβ Removal Systems: A Potential Therapy for Alzheimer’s Disease. Neuropsychiatric Disease and Treatment. Volume 17. 2291–2308. 4 indexed citations
2.
Kitaguchi, Nobuya, Harutsugu Tatebe, Kazuyoshi Sakai, et al.. (2019). Influx of Tau and Amyloid-β Proteins into the Blood During Hemodialysis as a Therapeutic Extracorporeal Blood Amyloid-β Removal System for Alzheimer’s Disease. Journal of Alzheimer s Disease. 69(3). 687–707. 16 indexed citations
3.
Kitaguchi, Nobuya, Takashi Kato, Shinji Matsunaga, et al.. (2018). Removal of blood amyloid-β with hemodialysis reduced brain amyloid-β, confirmed by brain imaging: a case report. Neuropsychiatric Disease and Treatment. Volume 14. 2931–2937. 12 indexed citations
4.
Nakai, Shigeru, Kenji Wakai, Eiichiro Kanda, et al.. (2018). Is hemodialysis itself a risk factor for dementia? An analysis of nationwide registry data of patients on maintenance hemodialysis in Japan. Renal Replacement Therapy. 4(1). 12 indexed citations
5.
Tokushima, Yasuo, et al.. (2015). A novel cell-containing device for regenerative medicine: biodegradable nonwoven filters with peripheral blood cells promote wound healing. Journal of Artificial Organs. 18(4). 315–321. 5 indexed citations
6.
Kawaguchi, Kazunori, Shinji Yamada, Shigeru Nakai, et al.. (2015). Toward the treatment for Alzheimer’s disease: adsorption is primary mechanism of removing amyloid β protein with hollow-fiber dialyzers of the suitable materials, polysulfone and polymethyl methacrylate. Journal of Artificial Organs. 19(2). 149–158. 12 indexed citations
7.
Kitaguchi, Nobuya, Midori Hasegawa, Shinji Ito, et al.. (2015). A prospective study on blood Aβ levels and the cognitive function of patients with hemodialysis: a potential therapeutic strategy for Alzheimer’s disease. Journal of Neural Transmission. 122(11). 1593–1607. 33 indexed citations
8.
Shinzato, Masanori, Yoshiyuki Hiki, Yasuo Tokushima, et al.. (2014). Appropriate nonwoven filters effectively capture human peripheral blood cells and mesenchymal stem cells, which show enhanced production of growth factors. Journal of Artificial Organs. 18(1). 55–63. 6 indexed citations
9.
Katô, Masao, Kazunori Kawaguchi, Kazutaka Murakami, et al.. (2012). Potential therapeutic system for Alzheimer’s disease: removal of blood Aβs by hemodialzyers and its effect on the cognitive functions of renal-failure patients. Journal of Neural Transmission. 119(12). 1533–1544. 25 indexed citations
10.
Kawaguchi, Kazunori, Nobuya Kitaguchi, Shigeru Nakai, et al.. (2010). Novel therapeutic approach for Alzheimer’s disease by removing amyloid β protein from the brain with an extracorporeal removal system. Journal of Artificial Organs. 13(1). 31–37. 19 indexed citations
11.
Urakami, Katsuya, Kentaro Takahashi, Sho Nakamura, et al.. (2009). Amyloid βprotein precursors with kunitz-type inhibitor domains and acetyl-cholinesterase in cerebrospinal fluid from patients with dementia of the Alzheimer type. Acta Neurologica Scandinavica. 85(5). 343–346. 1 indexed citations
12.
Matsuzaki, Osamu, et al.. (1997). Cell display library for gene cloning of variable regions of human antibodies to hepatitis B surface antigen. Journal of Immunological Methods. 202(2). 193–204. 22 indexed citations
13.
Hasegawa, Yasushi, et al.. (1995). A New Compound (AZ36041) Promotes the Survival of the Neurons and Reduces Neurotoxicity of Alzheimer's Beta-Amyloid Protein.. Biological and Pharmaceutical Bulletin. 18(12). 1750–1754. 3 indexed citations
14.
Suenaga, Toshihiko, Ichiro Akiguchi, Shigenobu Nakamura, et al.. (1992). Immunohistochemical localization of the proteinase inhibitor region of amyloid precursor proteins in the neocortex of Alzheimer's disease and aged controls. Acta Neuropathologica. 84(3). 244–9. 2 indexed citations
15.
Nakamura, Shinichiro, Masaaki Takemura, Toshihiko Suenaga, et al.. (1992). Occurrence of acetylcholinesterase activity closely associated with amyloid ?/A4 protein is not correlated with acetylcholinesterase-positive fiber density in amygdala of Alzheimer's disease. Acta Neuropathologica. 84(4). 425–32. 13 indexed citations
16.
Araki, Wataru, Nobuya Kitaguchi, Yasuo Tokushima, et al.. (1991). Trophic effect of β-amyloid precursor protein on cerebral cortical neurons in culture. Biochemical and Biophysical Research Communications. 181(1). 265–271. 180 indexed citations
17.
Kitaguchi, Nobuya, Yasuo Tokushima, Yasuyuki Takahashi, et al.. (1990). Determination of amyloid β protein precursors harboring active form of proteinase inhibitor domains in cerebrospinal fluid of Alzheimer's disease patients by trypsin-antibody sandwich ELISA. Biochemical and Biophysical Research Communications. 166(3). 1453–1459. 36 indexed citations
18.
Kitaguchi, Nobuya. (1989). Effects of Substituents and Solvents on the Electronic Spectra of 9,10-Dihydro-9,10-o-benzenoanthracene-1,4-diones: Intramolecular Charge Transfer. Bulletin of the Chemical Society of Japan. 62(3). 800–807. 21 indexed citations
19.
Tanaka, Seigo, Shigenobu Nakamura, Kunihiro Ueda, et al.. (1988). Three types of amyloid protein precursor mRNA in human brain: Their differential expression in Alzheimer's disease. Biochemical and Biophysical Research Communications. 157(2). 472–479. 114 indexed citations
20.
Kitaguchi, Nobuya, Yasuyuki Takahashi, Yasuo Tokushima, Satoshi Shiojiri, & Hirataka Ito. (1988). Novel precursor of Alzheimer's disease amyloid protein shows protease inhibitory activity. Nature. 331(6156). 530–532. 905 indexed citations breakdown →

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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