Makoto Sawada

11.0k total citations · 2 hit papers
198 papers, 9.2k citations indexed

About

Makoto Sawada is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Makoto Sawada has authored 198 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Neurology, 56 papers in Molecular Biology and 48 papers in Cellular and Molecular Neuroscience. Recurrent topics in Makoto Sawada's work include Neuroinflammation and Neurodegeneration Mechanisms (72 papers), Neuroscience and Neuropharmacology Research (24 papers) and Immune Response and Inflammation (22 papers). Makoto Sawada is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (72 papers), Neuroscience and Neuropharmacology Research (24 papers) and Immune Response and Inflammation (22 papers). Makoto Sawada collaborates with scholars based in Japan, United States and Canada. Makoto Sawada's co-authors include Akio Suzumura, Tohru Marunouchi, Toshiharu Nagatsu, Hiromi Suzuki, Kenji Ono, Noriaki Kondo, Kazuhiro Imamura, Mari Yoshida, Yoshio Hashizume and Nozomi Hishikawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Makoto Sawada

196 papers receiving 9.1k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Distribution of major histocompatibility complex class II-positive microglia and cytokine profile of Parkinson's disease brains

2003 597 citations Kazuhiro Imamura, Nozomi Hishikawa et al. Acta Neuropathologica profile →
Production of tumor necrosis factor-alpha by microglia and astrocytes in culture

1989 549 citations Makoto Sawada, Akio Suzumura et al. Brain Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Makoto Sawada Japan	54	3.6k	2.6k	2.2k	1.8k	1.5k	198	9.2k
R. Lee Mosley United States	52	3.1k 0.8×	2.1k 0.8×	1.9k 0.9×	1.9k 1.0×	1.2k 0.8×	143	8.7k
Daniel C. Anthony United Kingdom	60	3.1k 0.9×	4.1k 1.6×	1.1k 0.5×	1.8k 1.0×	1.2k 0.8×	263	11.3k
Stuart M. Allan United Kingdom	56	4.7k 1.3×	3.4k 1.3×	1.5k 0.7×	2.8k 1.5×	1.4k 0.9×	191	11.4k
Harris A. Gelbard United States	50	2.4k 0.7×	2.6k 1.0×	1.6k 0.7×	1.3k 0.7×	1.1k 0.7×	144	9.5k
Helga E. de Vries Netherlands	74	5.5k 1.5×	6.2k 2.4×	1.5k 0.7×	3.0k 1.7×	2.2k 1.5×	257	16.8k
Hermann J. Schluesener Germany	56	2.0k 0.6×	4.0k 1.6×	1.5k 0.7×	2.0k 1.1×	1.0k 0.7×	219	11.2k
Ignacio A. Romero United Kingdom	65	4.5k 1.2×	4.5k 1.7×	1.3k 0.6×	1.4k 0.8×	1.8k 1.2×	161	13.1k
Zhen Zhao United States	53	4.2k 1.2×	4.5k 1.8×	1.3k 0.6×	1.5k 0.8×	2.5k 1.7×	166	14.1k
Zhong Chen China	56	2.3k 0.6×	5.1k 2.0×	3.2k 1.5×	1.9k 1.1×	2.0k 1.3×	533	14.2k
Richard Daneman United States	36	6.6k 1.8×	6.3k 2.4×	2.8k 1.3×	1.6k 0.9×	1.9k 1.3×	58	15.4k

Countries citing papers authored by Makoto Sawada

Since Specialization

Citations

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

Fields of papers citing papers by Makoto Sawada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Sawada

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

All Works

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20 of 20 papers shown

Sobhanan, Jeladhara, Kenji Ono, Takuya Okamoto, et al.. (2023). Photosensitizer-singlet oxygen sensor conjugated silica nanoparticles for photodynamic therapy and bioimaging. Chemical Science. 15(6). 2007–2018. 7 indexed citations

Inoue, Masahide, Koji Sakamoto, Atsushi Suzuki, et al.. (2021). Size and surface modification of silica nanoparticles affect the severity of lung toxicity by modulating endosomal ROS generation in macrophages. Particle and Fibre Toxicology. 18(1). 21–21. 56 indexed citations

Nomura, Masahiko, Hiroshi Toyama, Hiromi Suzuki, et al.. (2020). Peripheral benzodiazepine receptor/18 kDa translocator protein positron emission tomography imaging in a rat model of acute brain injury. Annals of Nuclear Medicine. 35(1). 8–16. 5 indexed citations

Wu, Qi, Kenji Ono, Hiromi Suzuki, et al.. (2017). Visualization of Arc promoter-driven neuronal activity by magnetic resonance imaging. Neuroscience Letters. 666. 92–97. 4 indexed citations

Hatano, Kentaro, Katsuhiko Sekimata, Takashi Yamada, et al.. (2015). Radiosynthesis and in vivo evaluation of two imidazopyridineacetamides, [11C]CB184 and [11C]CB190, as a PET tracer for 18 kDa translocator protein: direct comparison with [11C](R)-PK11195. Annals of Nuclear Medicine. 29(4). 325–335. 21 indexed citations

Higuchi, Makoto, Bin Ji, Jun Maeda, et al.. (2011). Alzheimer's disease and microglia. Rinsho Shinkeigaku. 51(11). 1031–1031. 2 indexed citations

Toyama, Hiroshi, Gen Kudo, Hiromi Suzuki, et al.. (2010). Two activated stages of microglia and PET imaging of peripheral benzodiazepine receptors with [11C]PK11195 in rats. Annals of Nuclear Medicine. 24(3). 163–169. 16 indexed citations

Iwama, Shintaro, Yoshihisa Sugimura, Hiromi Suzuki, et al.. (2010). Time-dependent changes in proinflammatory and neurotrophic responses of microglia and astrocytes in a rat model of osmotic demyelination syndrome. Glia. 59(3). 452–462. 31 indexed citations

Shimizu, Eisuke, et al.. (2008). IL-4-Induced Selective Clearance of Oligomeric β-Amyloid Peptide1–42 by Rat Primary Type 2 Microglia. The Journal of Immunology. 181(9). 6503–6513. 127 indexed citations

10.

Sakai, Atsushi, Makoto Sawada, Hidenori Suzuki, et al.. (2008). Increase in hemokinin‐1 mRNA in the spinal cord during the early phase of a neuropathic pain state. British Journal of Pharmacology. 155(5). 767–774. 16 indexed citations

11.

Yamada, Jun, Makoto Sawada, & Hiroshi Nakanishi. (2006). Cell cycle-dependent regulation of kainate-induced inward currents in microglia. Biochemical and Biophysical Research Communications. 349(3). 913–919. 15 indexed citations

12.

Hagihara, Hideo, et al.. (2005). Tonic–clonic seizures induce division of neuronal progenitor cells with concomitant changes in expression of neurotrophic factors in the brain of pilocarpine–treated mice. Molecular Brain Research. 139(2). 258–266. 36 indexed citations

13.

Nakamichi, Kazuo, Megumi Saiki, Makoto Sawada, et al.. (2005). Double‐stranded RNA stimulates chemokine expression in microglia through vacuolar pH‐dependent activation of intracellular signaling pathways. Journal of Neurochemistry. 95(1). 273–283. 13 indexed citations

14.

Ueyama, Takehiko, Michelle R. Lennartz, Yukiko Noda, et al.. (2004). Superoxide Production at Phagosomal Cup/Phagosome through βI Protein Kinase C during FcγR-Mediated Phagocytosis in Microglia. The Journal of Immunology. 173(7). 4582–4589. 55 indexed citations

15.

Imamura, Kazuhiro, Nozomi Hishikawa, Kenji Ono, et al.. (2004). Cytokine production of activated microglia and decrease in neurotrophic factors of neurons in the hippocampus of Lewy body disease brains. Acta Neuropathologica. 109(2). 141–150. 110 indexed citations

16.

Hasegawa, Yoshihiro, et al.. (2000). Impaired cytokine production by peripheral blood mononuclear cells and monocytes/macrophages in Parkinson's disease. Acta Neurologica Scandinavica. 101(3). 159–164. 61 indexed citations

17.

Takayanagi, T, et al.. (1999). Effects of phosphodiesterase inhibitors on cytokine production by microglia. Multiple Sclerosis Journal. 5(2). 126–133. 9 indexed citations

18.

Sawada, Makoto, Akio Suzumura, Hiroko Yamamoto, & Tohru Marunouchi. (1990). Activation and proliferation of the isolated microglia by colony stimulating factor-1 and possible involvement of protein kinase C. Brain Research. 509(1). 119–124. 174 indexed citations

19.

Sawada, Makoto & Toshiharu Nagatsu. (1986). Effects of adrenergic drugs on the activity of tryptophan hydroxylase in midbrain raphe slices of the rat. Neurochemistry International. 8(3). 413–416. 4 indexed citations

20.

Sawada, Makoto, Akira Muto, Masafumi Iwami, Fumiaki Yamao, & Syozo Osawa. (1984). Organization of ribosomal RNA genes in Mycoplasma capricolum. Molecular and General Genetics MGG. 196(2). 311–316. 38 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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