Nobuo Machida

724 total citations
9 papers, 571 citations indexed

About

Nobuo Machida is a scholar working on Physiology, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nobuo Machida has authored 9 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 4 papers in Psychiatry and Mental health and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nobuo Machida's work include Alzheimer's disease research and treatments (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Sarcoma Diagnosis and Treatment (1 paper). Nobuo Machida is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Dementia and Cognitive Impairment Research (4 papers) and Sarcoma Diagnosis and Treatment (1 paper). Nobuo Machida collaborates with scholars based in Japan, United States and India. Nobuo Machida's co-authors include Masakazu Miura, Christopher M. Clark, Hiroyuki Arai, Taro Muramatsu, V.M.-Y. Lee, Susumu Higuchi, Masanori Terajima, Hidetada Sasaki, Sadao Takase and Akihiro Yasui and has published in prestigious journals such as Cancer, Annals of Neurology and Biochemical and Biophysical Research Communications.

In The Last Decade

Nobuo Machida

9 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nobuo Machida Japan	7	335	226	114	106	104	9	571
Katsuji Kobayashi Japan	14	333 1.0×	151 0.7×	247 2.2×	46 0.4×	127 1.2×	36	700
Giuseppina Talarico Italy	14	162 0.5×	101 0.4×	167 1.5×	85 0.8×	135 1.3×	34	584
Yunxia Zuo China	14	199 0.6×	30 0.1×	159 1.4×	89 0.8×	55 0.5×	29	588
Hiro Miyashita Canada	15	80 0.2×	101 0.4×	123 1.1×	58 0.5×	141 1.4×	20	671
Masahiro Kakuyama Japan	15	334 1.0×	39 0.2×	147 1.3×	31 0.3×	28 0.3×	32	663
Marco Gruß Germany	12	152 0.5×	45 0.2×	313 2.7×	122 1.2×	75 0.7×	22	731
Dian-Shi Wang Canada	14	125 0.4×	59 0.3×	224 2.0×	198 1.9×	42 0.4×	35	931
Yishan Lei China	13	182 0.5×	50 0.2×	90 0.8×	23 0.2×	20 0.2×	23	429
Teresa Waligórska United States	11	311 0.9×	259 1.1×	114 1.0×	28 0.3×	132 1.3×	19	536
Xiuying Wu China	17	108 0.3×	35 0.2×	128 1.1×	187 1.8×	27 0.3×	33	610

Countries citing papers authored by Nobuo Machida

Since Specialization

Citations

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

Fields of papers citing papers by Nobuo Machida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuo Machida

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

All Works

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9 of 9 papers shown

Yasui, Akihiro, Yuji Nimura, Nobuo Machida, et al.. (2001). Postoperative delirium and melatonin levels in elderly patients. The American Journal of Surgery. 182(5). 449–454. 134 indexed citations

Kimura, M., Takashi Asada, Masatake Uno, et al.. (1999). Assessment of cerebrospinal fluid levels of serum amyloid P component in patients with Alzheimer's disease. Neuroscience Letters. 273(2). 137–139. 17 indexed citations

Nishida, Junko, et al.. (1997). Existence of parvalbumin and biochemical characterization in quail and pigeon skeletal muscles with different fiber type compositions. Journal of Experimental Zoology. 277(4). 283–292. 4 indexed citations

Arai, Hiroyuki, Masanori Terajima, Masakazu Miura, et al.. (1997). Effect of Genetic Risk Factors and Disease Progression on the Cerebrospinal Fluid Tau Levels in Alzheimer's Disease. Journal of the American Geriatrics Society. 45(10). 1228–1231. 17 indexed citations

Higuchi, Makoto, Toshifumi Matsui, Christopher M. Clark, et al.. (1997). Cerebrospinal Fluid Tau Levels in Neurodegenerative Diseases with Distinct Tau-Related Pathology. Biochemical and Biophysical Research Communications. 236(2). 262–264. 121 indexed citations

Arai, Hiroyuki, Masanori Terajima, Masakazu Miura, et al.. (1995). Tau in cerebrospinal fluid: A potential diagnostic marker in Alzheimer's disease. Annals of Neurology. 38(4). 649–652. 233 indexed citations

Nishida, Junko, et al.. (1995). Distribution of parvalbumin in specific fibre types of chicken skeletal muscles. British Poultry Science. 36(4). 585–597. 7 indexed citations

Arai, Toshiro, et al.. (1989). Detection of Nuclear Protein Antigens to Antinuclear Antibodies in Serum of NOD Mouse. EXPERIMENTAL ANIMALS. 38(2). 159–162. 3 indexed citations

Shimamura, Kazuo, R. Yoshiyuki Osamura, Yoshito Ueyama, et al.. (1984). Malignant granular cell tumor of the right sciatic nerve. Report of an autopsy case with electron microscopic, immunohistochemical, and enzyme histochemical studies. Cancer. 53(3). 524–529. 35 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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