Takahito Yazaki

1.9k citations
36 papers · 1.5k indexed · 1 hit paper · h-index 17

Takahito Yazaki

36 papers receiving 1.5k citations

Hit Papers

Attenuated multi–mutated herpes simplex virus–1 for the t...6961995202620052015200400600

Peers

Takahito Yazaki
Comparison fields: 5 of 70
  • Genetics 1.0k
  • Oncology 529
  • Epidemiology 624
  • Biotechnology 110
  • Developmental Neuroscience 50
Replace Brad E. Hoffman with:
Brad E. Hoffman United States
Toshihiro Mineta Japan
Eric M. Oshiro United States
Christian Beltinger Germany
Cory Allen United States
Keiro Ikeda United States
Gregory M. Podsakoff United States
Zhenkun Yu China
T Friedmann United States
Marianela Candolfi United States
Takahito Yazaki relative to Brad E. Hoffman United States Brad E. Hoffman's profile →
Citations per field
00.5×3.4×
Brad E. Hoffman · 1×
Citations per year

Countries citing papers authored by Takahito Yazaki

Since Specialization
Citations

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

Fields of papers citing papers by Takahito Yazaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takahito Yazaki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takahito Yazaki Line = papers co-authored together Takahito Yazaki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201519
2 20139
3 200944
4 200619
5 200522
6 20011
7 20002
8 200016
9 200028
10 200017
11
Functional Analysis of P0 and L1 Cell Adhesion Proteins
19971
12 199614
13
[Emphysematous cystitis: a case report].
19967
14 199692
15
Attenuated multi–mutated herpes simplex virus–1 for the treatment of malignant gliomasbreakdown →
1995696
16 19951
17 199537
18 199414
19 19922
20 199115

About Takahito Yazaki

Takahito Yazaki is a scholar working on Genetics, Developmental Neuroscience, Epidemiology, Neurology and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Herpesvirus Infections and Treatments (11 papers), Meningioma and schwannoma management (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Cancer Research and Treatments (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Genetics (1.0k citations), Oncology (529 citations), Epidemiology (624 citations), Biotechnology (110 citations) and Developmental Neuroscience (50 citations). Takahito Yazaki has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Samuel D. Rabkin, Robert L. Martuza, Toshihiro Mineta, William D. Hunter, Herbert J. Manz, Keiichi Uyemura, Takeshi Kawase, R L Martuza, Kazunari Yoshida and Masahiro Toda. Their work appears in journals such as Human Gene Therapy, Neurologia medico-chirurgica, Neuroreport, Journal of Neuro-Oncology and The Journal of Urology.

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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