Takuya Genda

111 total papers · 3.2k total citations
68 papers, 1.2k citations indexed

About

Takuya Genda is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Takuya Genda has authored 68 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Epidemiology, 38 papers in Hepatology and 16 papers in Molecular Biology. Recurrent topics in Takuya Genda's work include Liver Disease Diagnosis and Treatment (37 papers), Liver Disease and Transplantation (20 papers) and Hepatitis C virus research (15 papers). Takuya Genda is often cited by papers focused on Liver Disease Diagnosis and Treatment (37 papers), Liver Disease and Transplantation (20 papers) and Hepatitis C virus research (15 papers). Takuya Genda collaborates with scholars based in Japan, United States and United Kingdom. Takuya Genda's co-authors include Takafumi Ichida, Hitoshi Asakura, Michiie Sakamoto, Setsuo Hirohashi, Yutaka Aoyagi, Yasunobu Matsuda, Masaaki Takamura, Soichi Sugitani, Satoshi Yamagiwa and Masamichi Kojiro and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Hepatology.

In The Last Decade

Takuya Genda

62 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Takuya Genda 494 488 377 213 181 68 1.2k
Gülen Akyol 328 0.7× 301 0.6× 408 1.1× 189 0.9× 103 0.6× 78 1.3k
Shuhei Yoshida 562 1.1× 427 0.9× 372 1.0× 263 1.2× 294 1.6× 75 1.4k
Hiroaki Yokomori 362 0.7× 482 1.0× 403 1.1× 133 0.6× 200 1.1× 84 1.2k
Saswati Hazra 434 0.9× 524 1.1× 515 1.4× 318 1.5× 99 0.5× 37 1.3k
Stefaan Verhulst 441 0.9× 495 1.0× 392 1.0× 168 0.8× 322 1.8× 44 1.1k
Satoru Hasuike 403 0.8× 454 0.9× 353 0.9× 132 0.6× 64 0.4× 44 1.3k
Seishi Nagamori 464 0.9× 385 0.8× 213 0.6× 206 1.0× 55 0.3× 50 1.1k
Koujiro Takase 493 1.0× 257 0.5× 260 0.7× 142 0.7× 91 0.5× 35 960
Mingyi Xu 626 1.3× 405 0.8× 505 1.3× 104 0.5× 61 0.3× 56 1.3k
Kenta Motomura 323 0.7× 656 1.3× 452 1.2× 270 1.3× 40 0.2× 66 1.1k

Countries citing papers authored by Takuya Genda

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Genda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Genda

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Genda. A scholar is included among the top collaborators of Takuya Genda 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 Takuya Genda. Takuya Genda 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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