Naoyuki Tsukada

916 total citations
48 papers, 753 citations indexed

About

Naoyuki Tsukada is a scholar working on Immunology, Pathology and Forensic Medicine and Physiology. According to data from OpenAlex, Naoyuki Tsukada has authored 48 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 13 papers in Pathology and Forensic Medicine and 9 papers in Physiology. Recurrent topics in Naoyuki Tsukada's work include Multiple Sclerosis Research Studies (13 papers), T-cell and Retrovirus Studies (7 papers) and Peripheral Neuropathies and Disorders (6 papers). Naoyuki Tsukada is often cited by papers focused on Multiple Sclerosis Research Studies (13 papers), T-cell and Retrovirus Studies (7 papers) and Peripheral Neuropathies and Disorders (6 papers). Naoyuki Tsukada collaborates with scholars based in Japan, United Kingdom and Australia. Naoyuki Tsukada's co-authors include Nobuo Yanagisawa, Masayuki Matsuda, N Yanagisawa, Koichi Miyagi, Kanako Miyagi, Chang‐Sung Koh, Kenji Yone, Atsushi Inoue, Y. Tanaka and W. M. H. Behan and has published in prestigious journals such as Neurology, Annals of Neurology and Acta Neuropathologica.

In The Last Decade

Naoyuki Tsukada

47 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoyuki Tsukada Japan 16 277 221 166 135 132 48 753
H. Wekerle Germany 12 772 2.8× 144 0.7× 187 1.1× 167 1.2× 90 0.7× 21 1.2k
Michele Libonati United States 7 439 1.6× 626 2.8× 219 1.3× 100 0.7× 137 1.0× 8 1.2k
Sophie Desplat‐Jégo France 17 414 1.5× 120 0.5× 75 0.5× 139 1.0× 165 1.3× 28 1.0k
Laurence M. Howard United States 13 443 1.6× 259 1.2× 56 0.3× 192 1.4× 63 0.5× 19 933
Anja Moldenhauer Germany 13 225 0.8× 295 1.3× 193 1.2× 98 0.7× 62 0.5× 28 779
Yufen Qin United States 14 598 2.2× 289 1.3× 104 0.6× 80 0.6× 141 1.1× 24 911
Chi‐Chao Chan United States 15 196 0.7× 66 0.3× 88 0.5× 74 0.5× 152 1.2× 17 883
Daniel Rosenberg United States 5 227 0.8× 171 0.8× 48 0.3× 72 0.5× 58 0.4× 9 532
Michael Friese Germany 6 435 1.6× 437 2.0× 124 0.7× 186 1.4× 89 0.7× 10 925
S. Sriram United States 6 344 1.2× 162 0.7× 43 0.3× 91 0.7× 71 0.5× 12 605

Countries citing papers authored by Naoyuki Tsukada

Since Specialization
Citations

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

Fields of papers citing papers by Naoyuki Tsukada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoyuki Tsukada

This figure shows the co-authorship network connecting the top 25 collaborators of Naoyuki Tsukada. A scholar is included among the top collaborators of Naoyuki Tsukada 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 Naoyuki Tsukada. Naoyuki Tsukada 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.
Narita, Miwako, et al.. (2005). Effect of prostaglandin E2, lipopolysaccharide, IFN-γ and cytokines on the generation and function of fast-DC. Cytotherapy. 7(2). 195–202. 9 indexed citations
2.
Tsukada, Naoyuki, et al.. (1995). Thrombomodulin in the sera of patients with multiple sclerosis and human lymphotropic virus type-1-associated myelopathy. Journal of Neuroimmunology. 56(1). 113–116. 14 indexed citations
3.
Matsuda, Masayuki, Naoyuki Tsukada, Koichi Miyagi, & Nobuo Yanagisawa. (1995). Increased levels of soluble vascular cell adhesion molecule-1 ( VCAM-1) in the cerebrospinal fluid and sera of patients with multiple sclerosis and human T lymphotropic virus type-1-associated myelopathy. Journal of Neuroimmunology. 59(1-2). 35–40. 45 indexed citations
4.
Tsukada, Naoyuki, et al.. (1995). Endothelial Cell Damage in Sarcoidosis and Neurosarcoidosis: Autoantibodies to Endothelial Cells. European Neurology. 35(2). 108–112. 17 indexed citations
6.
Matsuda, Masayuki, Naoyuki Tsukada, Koichi Miyagi, & Nobuo Yanagisawa. (1995). Adhesion of Lymphocytes to Endothelial Cells in Experimental Allergic Encephalomyelitis before and after Treatment with Endotoxin Lipopolysaccharide. International Archives of Allergy and Immunology. 106(4). 335–344. 7 indexed citations
7.
9.
Tsukada, Naoyuki, Kanako Miyagi, Masayuki Matsuda, & N Yanagisawa. (1993). Increases levels of circulating intercellular adhesion molecule‐1 in multiple sclerosis and human T‐lymphotropic virus type I‐associated myelopathy. Annals of Neurology. 33(6). 646–649. 52 indexed citations
10.
Morita, Hiroshi, et al.. (1992). Spinal Cord Sarcoidosis: MRI Findings in Response to Treatment. European Neurology. 32(3). 126–129. 7 indexed citations
11.
Tsukada, Naoyuki, et al.. (1991). Soluble CD4 and CD8 in the peripheral blood of patients with multiple sclerosis and HTLV-1-associated myelopathy. Journal of Neuroimmunology. 35(1-3). 285–293. 14 indexed citations
12.
Matsuda, Masayuki, Naoyuki Tsukada, Koichi Miyagi, & Nobuo Yanagisawa. (1991). Increased interleukin-1 production by peripheral blood mononuclear cells in patients with multiple sclerosis. Journal of the Neurological Sciences. 102(1). 100–104. 18 indexed citations
13.
Tsukada, Naoyuki, Koichi Miyagi, Masayuki Matsuda, Nobuo Yanagisawa, & Kenji Yone. (1991). Tumor necrosis factor and interleukin-1 in the CSF and sera of patients with multiple sclerosis. Journal of the Neurological Sciences. 104(2). 230–234. 101 indexed citations
14.
Tanaka, Yoshiyuki, et al.. (1989). [A case of Sjögren's syndrome with mononeuritis associated with high levels of circulating immune complexes].. PubMed. 29(3). 336–42. 1 indexed citations
15.
Tsukada, Naoyuki, et al.. (1989). Autoantibodies to each protein fraction extracted from cerebral endothelial cell membrane in the sera of patients with multiple sclerosis. Journal of Neuroimmunology. 24(1-2). 41–46. 16 indexed citations
16.
Koh, Chang‐Sung, et al.. (1988). In vitro degradation of amyloid material by four proteases in tissue of a patient with familial amyloidotic polyneuropathy. Journal of the Neurological Sciences. 84(2-3). 295–299. 1 indexed citations
17.
Tanaka, Y., et al.. (1987). Anti-endothelial cell antibodies and circulating immune complexes in the sera of patients with multiple sclerosis. Journal of Neuroimmunology. 17(1). 49–59. 51 indexed citations
18.
Tsukada, Naoyuki, Asuka Inoue, N Yanagisawa, W. M. H. Behan, & Peter O. Behan. (1986). Anti-endothelial cell antibody and immune complexes in the sera of animals with acute experimental allergic encephalomyelitis and chronic relapsing experimental allergic encephalomyelitis. Journal of Neuroimmunology. 12(2). 89–97. 15 indexed citations
19.
Tsukada, Naoyuki, et al.. (1981). A case of acute acquired toxoplasmosis with acute transverse myelopathy. 21(2). 158–164. 1 indexed citations
20.
Tsukada, Naoyuki, Ichiro Kawahara, & Hiroshi Kawai. (1976). [Studies on the allergic arthritis induced by intra-articular injection of soluble immune complexes].. PubMed. 16(3). 255–75. 2 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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