Takehiro Ura

696 total citations · 1 hit paper
8 papers, 496 citations indexed

About

Takehiro Ura is a scholar working on Genetics, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Takehiro Ura has authored 8 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Infectious Diseases and 2 papers in Molecular Biology. Recurrent topics in Takehiro Ura's work include Virus-based gene therapy research (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and RNA Interference and Gene Delivery (2 papers). Takehiro Ura is often cited by papers focused on Virus-based gene therapy research (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and RNA Interference and Gene Delivery (2 papers). Takehiro Ura collaborates with scholars based in Japan, France and United States. Takehiro Ura's co-authors include Kenji Okuda, Masaru Shimada, Nobuhisa Mizuki, Akio Yamashita, Atsushi Yoshida, Hiroyuki Mizuguchi, Asami Kondo, Shinya Abe, Dennis M. Klinman and Masaru Taniguchi and has published in prestigious journals such as PLoS ONE, Vaccine and Gene Therapy.

In The Last Decade

Takehiro Ura

8 papers receiving 485 citations

Hit Papers

align trajectories

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.

Developments in Viral Vector-Based Vaccines

2014 321 citations Takehiro Ura, Kenji Okuda et al. Vaccines profile →

Peers

Takehiro Ura

ID

MB

IMMUN

GENET

EPIDE

Kim E. Schmidt Germany

Thomas G. Griffiths United States

Amy B. Barnum United States

Hugues Fausther‐Bovendo Canada

Laural B. Harper United States

Cynthia Strout United States

Morgan Brisse United States

Chiara Gentile Italy

Sophia M. Vrba United States

Brenda Larkin United States

Kim E. Schmidt Germany

Takehiro Ura

417 ×1.5

ID

287 ×1.8

MB

186 ×1.5

IMMUN

58 ×0.6

GENET

96 ×1.1

EPIDE

Citations per year, relative to Takehiro Ura Takehiro Ura (= 1×) peers Kim E. Schmidt

Countries citing papers authored by Takehiro Ura

Since Specialization

Citations

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

Fields of papers citing papers by Takehiro Ura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takehiro Ura

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

All Works

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8 of 8 papers shown

1.

Shimada, Masaru, Haibin Wang, Motohide Ichino, et al.. (2022). Biodistribution and immunity of adenovirus 5/35 and modified vaccinia Ankara vector vaccines against human immunodeficiency virus 1 clade C. Gene Therapy. 29(10-11). 636–642. 7 indexed citations

2.

Ura, Takehiro, Masaki Takeuchi, Tatsukata Kawagoe, et al.. (2022). Current Vaccine Platforms in Enhancing T-Cell Response. Vaccines. 10(8). 1367–1367. 22 indexed citations

3.

Ito, Saori, Takehiro Ura, Jun Fukushima, et al.. (2021). Prophylactic and therapeutic vaccine against Pseudomonas aeruginosa keratitis using bacterial membrane vesicles. Vaccine. 39(23). 3152–3160. 13 indexed citations

4.

Ura, Takehiro, Akio Yamashita, Nobuhisa Mizuki, Kenji Okuda, & Masaru Shimada. (2020). New vaccine production platforms used in developing SARS-CoV-2 vaccine candidates. Vaccine. 39(2). 197–201. 62 indexed citations

5.

Yasuda, Takuwa, Takehiro Ura, Masaru Taniguchi, & Hisahiro Yoshida. (2016). Intradermal Delivery of Antigens Enhances Specific IgG and Diminishes IgE Production: Potential Use for Vaccination and Allergy Immunotherapy. PLoS ONE. 11(12). e0167952–e0167952. 18 indexed citations

6.

Ura, Takehiro, Kenji Okuda, & Masaru Shimada. (2014). Developments in Viral Vector-Based Vaccines. Vaccines. 2(3). 624–641. 321 indexed citations breakdown →

7.

Abe, Shinya, Kenji Okuda, Takehiro Ura, et al.. (2009). Adenovirus type 5 with modified hexons induces robust transgene‐specific immune responses in mice with pre‐existing immunity against adenovirus type 5. The Journal of Gene Medicine. 11(7). 570–579. 42 indexed citations

8.

Ura, Takehiro, Atsushi Yoshida, Ke‐Qin Xin, et al.. (2008). Designed recombinant adenovirus type 5 vector induced envelope‐specific CD8⁺ cytotoxic T lymphocytes and cross‐reactive neutralizing antibodies against human immunodeficiency virus type 1. The Journal of Gene Medicine. 11(2). 139–149. 11 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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