Takeshi Ihara

33 total papers · 619 total citations
25 papers, 515 citations indexed

About

Takeshi Ihara is a scholar working on Infectious Diseases, Animal Science and Zoology and Epidemiology. According to data from OpenAlex, Takeshi Ihara has authored 25 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 7 papers in Animal Science and Zoology and 6 papers in Epidemiology. Recurrent topics in Takeshi Ihara's work include Animal Virus Infections Studies (7 papers), Herpesvirus Infections and Treatments (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). Takeshi Ihara is often cited by papers focused on Animal Virus Infections Studies (7 papers), Herpesvirus Infections and Treatments (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). Takeshi Ihara collaborates with scholars based in Japan, United States and Czechia. Takeshi Ihara's co-authors include David H.L. Bishop, Hiroomi Akashi, Susumu Ueda, Tetsuo Nunoya, Changming Liu, Hilary A. Overton, Yoshiharu Matsuura, Richard W. Compans, Atsushi Kato and Akira Ishihama and has published in prestigious journals such as Virology, Theriogenology and Veterinary Microbiology.

In The Last Decade

Takeshi Ihara

25 papers receiving 470 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Takeshi Ihara 270 144 116 116 114 25 515
Norimasa SASAKI 248 0.9× 113 0.8× 169 1.5× 88 0.8× 68 0.6× 40 468
Gianmarco Ferrara 327 1.2× 140 1.0× 75 0.6× 112 1.0× 52 0.5× 48 589
Shu‐Hwae Lee 184 0.7× 77 0.5× 88 0.8× 156 1.3× 52 0.5× 26 579
Udo Bahr 284 1.1× 61 0.4× 59 0.5× 71 0.6× 93 0.8× 19 508
Ilias Bouzalas 337 1.2× 163 1.1× 61 0.5× 48 0.4× 40 0.4× 23 475
Mikhayil Hakhverdyan 191 0.7× 149 1.0× 74 0.6× 129 1.1× 61 0.5× 26 493
Gang Lu 219 0.8× 172 1.2× 58 0.5× 154 1.3× 60 0.5× 41 469
Hermann Nieper 179 0.7× 180 1.3× 100 0.9× 301 2.6× 63 0.6× 18 586
J. P. M. Clerx 402 1.5× 146 1.0× 111 1.0× 42 0.4× 53 0.5× 14 541
John El-Attrache 213 0.8× 205 1.4× 64 0.6× 263 2.3× 39 0.3× 25 482

Countries citing papers authored by Takeshi Ihara

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Ihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Ihara

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

All Works

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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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