Tsuguhiro Kaneda

698 total citations
35 papers, 568 citations indexed

About

Tsuguhiro Kaneda is a scholar working on Infectious Diseases, Virology and Molecular Biology. According to data from OpenAlex, Tsuguhiro Kaneda has authored 35 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Infectious Diseases, 16 papers in Virology and 13 papers in Molecular Biology. Recurrent topics in Tsuguhiro Kaneda's work include HIV/AIDS drug development and treatment (20 papers), HIV Research and Treatment (16 papers) and HIV/AIDS Research and Interventions (9 papers). Tsuguhiro Kaneda is often cited by papers focused on HIV/AIDS drug development and treatment (20 papers), HIV Research and Treatment (16 papers) and HIV/AIDS Research and Interventions (9 papers). Tsuguhiro Kaneda collaborates with scholars based in Japan and United States. Tsuguhiro Kaneda's co-authors include Naoya Okumura, Masaaki Takahashi, Shiro Ibe, Makoto Utsumi, Shigeo Masaki, Atsushi Hirano, Hiroshi Shiku, Shonen Yoshida, Osamu Koiwai and Junko Hattori and has published in prestigious journals such as Nucleic Acids Research, Cancer and Analytical Biochemistry.

In The Last Decade

Tsuguhiro Kaneda

35 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsuguhiro Kaneda Japan 14 275 210 184 85 65 35 568
Gabrielle Heilek United States 15 321 1.2× 177 0.8× 199 1.1× 182 2.1× 149 2.3× 32 798
Geneviève Laflamme United States 14 336 1.2× 230 1.1× 117 0.6× 105 1.2× 28 0.4× 18 583
A. Castley Australia 5 263 1.0× 84 0.4× 217 1.2× 114 1.3× 30 0.5× 8 1.1k
Kaneo Yamada Japan 14 316 1.1× 70 0.3× 356 1.9× 72 0.8× 77 1.2× 60 615
William B. Mahony United States 12 293 1.1× 176 0.8× 198 1.1× 156 1.8× 16 0.2× 17 588
Peter Hafkemeyer Germany 14 144 0.5× 300 1.4× 41 0.2× 85 1.0× 55 0.8× 22 604
Eckart Matthes Germany 16 297 1.1× 356 1.7× 224 1.2× 196 2.3× 59 0.9× 43 701
Brett S. Robinson United States 6 445 1.6× 169 0.8× 424 2.3× 57 0.7× 44 0.7× 9 633
Christian Marsolais Canada 11 180 0.7× 134 0.6× 162 0.9× 79 0.9× 14 0.2× 28 488

Countries citing papers authored by Tsuguhiro Kaneda

Since Specialization
Citations

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

Fields of papers citing papers by Tsuguhiro Kaneda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuguhiro Kaneda

This figure shows the co-authorship network connecting the top 25 collaborators of Tsuguhiro Kaneda. A scholar is included among the top collaborators of Tsuguhiro Kaneda 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 Tsuguhiro Kaneda. Tsuguhiro Kaneda 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.
Seo, Naohiro, Junko Nakamura, Tsuguhiro Kaneda, et al.. (2022). Distinguishing functional exosomes and other extracellular vesicles as a nucleic acid cargo by the anion‐exchange method. Journal of Extracellular Vesicles. 11(3). e12205–e12205. 54 indexed citations
2.
Takahashi, Masaaki, et al.. (2010). Development and application of a simple LC-MS method for the determination of plasma maraviroc concentrations. The Journal of Medical Investigation. 57(3,4). 245–250. 6 indexed citations
3.
Fujisaki, Seiichiro, Shiro Ibe, Junko Hattori, et al.. (2009). An 11-Year Surveillance of HIV Type 1 Subtypes in Nagoya, Japan. AIDS Research and Human Retroviruses. 25(1). 15–21. 5 indexed citations
4.
Ibe, Shiro, Junko Hattori, Seiichiro Fujisaki, et al.. (2008). Trend of Drug-Resistant HIV Type 1 Emergence among Therapy-Naive Patients in Nagoya, Japan: An 8-Year Surveillance from 1999 to 2006. AIDS Research and Human Retroviruses. 24(1). 7–14. 11 indexed citations
5.
Ibe, Shiro, Seiichiro Fujisaki, Junko Hattori, et al.. (2008). Analysis of Near Full-Length Genomic Sequences of Drug-Resistant HIV-1 Spreading among Therapy-Naïve Individuals in Nagoya, Japan: Amino Acid Mutations Associated with Viral Replication Activity. AIDS Research and Human Retroviruses. 24(8). 1121–1125. 8 indexed citations
6.
Takahashi, Masaaki, Shiro Ibe, Naoya Okumura, et al.. (2007). No Observable Correlation between Central Nervous System Side Effects and EFV Plasma Concentrations in Japanese HIV Type 1-Infected Patients Treated with EFV Containing HAART. AIDS Research and Human Retroviruses. 23(8). 983–987. 25 indexed citations
7.
Takahashi, Masaaki, et al.. (2007). Determination of Plasma Tenofovir Concentrations Using a Conventional LC-MS Method. Biological and Pharmaceutical Bulletin. 30(9). 1784–1786. 39 indexed citations
8.
Hattori, Junko, et al.. (2007). Beneficial Effect of GB Virus C Co‐Infection in Human Immunodeficiency Virus Type 1‐Infected Individuals. Microbiology and Immunology. 51(2). 193–200. 13 indexed citations
9.
Hagiwara, Tomoko, Junko Hattori, & Tsuguhiro Kaneda. (2006). PNA-<i>In Situ</i> Hybridization Method for Detection of HIV-1 DNA in Virus-Infected Cells and Subsequent Detection of Cellular and Viral Proteins. Humana Press eBooks. 326. 139–150. 3 indexed citations
10.
Ibe, Shiro, et al.. (2006). Quantitative SNP‐Detection Method for Estimating HIV‐1 Replicative Fitness: Application to Protease Inhibitor‐Resistant Viruses. Microbiology and Immunology. 50(10). 765–772. 4 indexed citations
11.
Wada, Kaoru, Hiromi Nagai, Tomoko Hagiwara, et al.. (2004). Delayed HIV‐1 Infection of CD4+ T Lymphocytes from Therapy‐Naïve Patients Demonstrated by Quantification of HIV‐1 DNA Copy Numbers. Microbiology and Immunology. 48(10). 767–772. 3 indexed citations
12.
Ibe, Shiro, et al.. (2003). Prevalence of Drug‐Resistant Human Immunodeficiency Virus Type 1 in Therapy‐Naive Patients and Usefulness of Genotype Testing. Microbiology and Immunology. 47(7). 499–505. 14 indexed citations
13.
14.
Murakami, Takaya, Tomoko Hagiwara, Kazuko Yamamoto, et al.. (2001). A novel method for detecting HIV-1 by non-radioactivein situ hybridization: application of a peptide nucleic acid probe and catalysed signal amplification. The Journal of Pathology. 194(1). 130–135. 19 indexed citations
15.
Wakita, Atsushi, et al.. (1994). Flow Cytometric Detection of Proliferative Cells in Leukemias. Japanese Journal of Cancer Research. 85(2). 204–210. 1 indexed citations
16.
Kaneda, Tsuguhiro, et al.. (1989). Proliferative Cell Index in Endometrial Adenocarcinoma of Different Nuclear Grades. Japanese Journal of Cancer Research. 80(3). 223–227. 10 indexed citations
17.
Murate, Takashi & Tsuguhiro Kaneda. (1989). Treatment of fetal bovine serum with activated charcoal enhances spontaneous differentiation of murine erythroleukemia cells. Leukemia Research. 13(3). 227–231. 4 indexed citations
18.
Koiwai, Osamu, et al.. (1989). Gene Expression of Terminal Deoxynucleotidyl Transferase in Neoplastic Cells of Leukemia and Lymphoma. Japanese Journal of Cancer Research. 80(4). 331–334. 3 indexed citations
19.
20.

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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