Toshiaki Kitami

714 total citations
9 papers, 557 citations indexed

About

Toshiaki Kitami is a scholar working on Neurology, Molecular Biology and Epidemiology. According to data from OpenAlex, Toshiaki Kitami has authored 9 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Toshiaki Kitami's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Autophagy in Disease and Therapy (3 papers) and Ubiquitin and proteasome pathways (3 papers). Toshiaki Kitami is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Autophagy in Disease and Therapy (3 papers) and Ubiquitin and proteasome pathways (3 papers). Toshiaki Kitami collaborates with scholars based in Japan, Australia and Denmark. Toshiaki Kitami's co-authors include Yoshikuni Mizuno, Nobutaka Hattori, Keiji Tanaka, Noriyuki Matsuda, Toshiaki Suzuki, Andrew Singleton, Kenichi Sato, Koichi Mizoguchi, Miho Murata and Matthew J. Farrer and has published in prestigious journals such as Journal of Biological Chemistry, Annals of Neurology and Biochemical and Biophysical Research Communications.

In The Last Decade

Toshiaki Kitami

9 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toshiaki Kitami Japan 8 396 252 209 108 104 9 557
Cristina Gómez-Santos Spain 7 208 0.5× 148 0.6× 152 0.7× 115 1.1× 60 0.6× 8 422
Magali Periquet France 7 591 1.5× 411 1.6× 183 0.9× 82 0.8× 165 1.6× 7 696
Mieko Maruyama Japan 7 384 1.0× 272 1.1× 204 1.0× 129 1.2× 108 1.0× 8 629
Petra Leitner Germany 6 359 0.9× 145 0.6× 161 0.8× 68 0.6× 115 1.1× 7 459
Carles Calatayud Spain 10 169 0.4× 186 0.7× 230 1.1× 76 0.7× 111 1.1× 16 509
Helle Bogetofte Denmark 11 275 0.7× 264 1.0× 353 1.7× 97 0.9× 75 0.7× 13 723
Hokuto Morita United States 8 287 0.7× 225 0.9× 158 0.8× 90 0.8× 45 0.4× 9 487
Milena Cioroch United Kingdom 9 293 0.7× 221 0.9× 114 0.5× 44 0.4× 63 0.6× 12 465
Laura Navarria Italy 6 326 0.8× 211 0.8× 129 0.6× 66 0.6× 45 0.4× 7 494
Joel E. Beevers United Kingdom 6 333 0.8× 192 0.8× 168 0.8× 45 0.4× 104 1.0× 7 481

Countries citing papers authored by Toshiaki Kitami

Since Specialization
Citations

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

Fields of papers citing papers by Toshiaki Kitami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshiaki Kitami

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

All Works

9 of 9 papers shown
1.
Nakamura, Atsuko, Toshiaki Kitami, Hideo Mori, Yoshikuni Mizuno, & Nobutaka Hattori. (2006). Nuclear localization of the 20S proteasome subunit in Parkinson's disease. Neuroscience Letters. 406(1-2). 43–48. 12 indexed citations
2.
Matsuda, Noriyuki, Toshiaki Kitami, Toshiaki Suzuki, et al.. (2005). Diverse Effects of Pathogenic Mutations of Parkin That Catalyze Multiple Monoubiquitylation in Vitro. Journal of Biological Chemistry. 281(6). 3204–3209. 145 indexed citations
3.
Noda, Kazuyuki, Toshiaki Kitami, Wei Gai, et al.. (2005). Phosphorylated IκBα is a component of Lewy body of Parkinson’s disease. Biochemical and Biophysical Research Communications. 331(1). 309–317. 12 indexed citations
4.
Nishioka, Kenya, Shin Hayashi, Matthew J. Farrer, et al.. (2005). Clinical heterogeneity of α‐synuclein gene duplication in Parkinson's disease. Annals of Neurology. 59(2). 298–309. 235 indexed citations
5.
Li, Xiaobing, Toshiaki Kitami, Mei Wang, Yoshikuni Mizuno, & Nobutaka Hattori. (2005). Geographic and ethnic differences in frequencies of two polymorphisms (D/N394 and L/I272) of the parkin gene in sporadic Parkinson's disease. Parkinsonism & Related Disorders. 11(8). 485–491. 6 indexed citations
6.
Kitami, Toshiaki, Masami Nagahama, Mitsuo Tagaya, et al.. (2005). Dominant‐negative effect of mutant valosin‐containing protein in aggresome formation. FEBS Letters. 580(2). 474–478. 19 indexed citations
7.
Nakayama, Hiroshi, et al.. (2003). Preparation of temperature responsive fragrance release membranes by UV curing. Radiation Physics and Chemistry. 67(2). 131–136. 12 indexed citations
8.
Kubo, Shinichiro, Toshiaki Kitami, Setsuko Noda, et al.. (2001). Parkin is associated with cellular vesicles. Journal of Neurochemistry. 78(1). 42–54. 107 indexed citations
9.
Kitami, Toshiaki, et al.. (1996). A lipid lowering drug(Bezafibrate) has a favorable effect on liver enzymes(Al-P and .GAMMA.-GTP).. Journal of Nippon Medical School. 63(5). 424–430. 9 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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