Takuya Inomoto

48 total papers · 1.5k total citations
33 papers, 1.2k citations indexed

About

Takuya Inomoto is a scholar working on Surgery, Hepatology and Epidemiology. According to data from OpenAlex, Takuya Inomoto has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 19 papers in Hepatology and 16 papers in Epidemiology. Recurrent topics in Takuya Inomoto's work include Organ Transplantation Techniques and Outcomes (19 papers), Liver Disease and Transplantation (16 papers) and Liver Disease Diagnosis and Treatment (14 papers). Takuya Inomoto is often cited by papers focused on Organ Transplantation Techniques and Outcomes (19 papers), Liver Disease and Transplantation (16 papers) and Liver Disease Diagnosis and Treatment (14 papers). Takuya Inomoto collaborates with scholars based in Japan, United States and South Korea. Takuya Inomoto's co-authors include Toshiyuki Kitai, Takahiro Shikayama, Mitsuharu Miwa, Yoshio Yamaoka, Etsuro Hatano, Akira Tanaka, Hisashi Shinohara, S Satoh, Atsuo Tokuka and Fuminori Moriyasu and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and Hepatology.

In The Last Decade

Takuya Inomoto

33 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
Takuya Inomoto	666	413	212	188	174	33	1.2k
Wai Kuen Tso	580 0.9×	788 1.9×	88 0.4×	234 1.2×	406 2.3×	37	1.5k
Yanling Zheng	271 0.4×	282 0.7×	188 0.9×	119 0.6×	261 1.5×	49	1.1k
F. Löhe	637 1.0×	296 0.7×	51 0.2×	237 1.3×	365 2.1×	40	1.1k
Gianpaolo Vidili	337 0.5×	294 0.7×	152 0.7×	211 1.1×	152 0.9×	29	965
Josephina A. Vossen	184 0.3×	516 1.2×	113 0.5×	193 1.0×	196 1.1×	39	1.1k
Vamsi R. Narra	425 0.6×	180 0.4×	52 0.2×	198 1.1×	517 3.0×	39	1.3k
Cristina Rossi	302 0.5×	114 0.3×	72 0.3×	213 1.1×	203 1.2×	36	1.0k
Hiromichi Oi	297 0.4×	950 2.3×	92 0.4×	126 0.7×	233 1.3×	42	1.4k
Kevin P. Charpentier	247 0.4×	130 0.3×	174 0.8×	342 1.8×	199 1.1×	47	941
F. W. Schildberg	497 0.7×	239 0.6×	43 0.2×	340 1.8×	233 1.3×	51	1.1k

Countries citing papers authored by Takuya Inomoto

Since Specialization

Citations

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

Fields of papers citing papers by Takuya Inomoto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Inomoto

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