Hideaki Uchiyama

314 total papers · 7.4k total citations
237 papers, 5.7k citations indexed

About

Hideaki Uchiyama is a scholar working on Surgery, Hepatology and Epidemiology. According to data from OpenAlex, Hideaki Uchiyama has authored 237 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Surgery, 138 papers in Hepatology and 61 papers in Epidemiology. Recurrent topics in Hideaki Uchiyama's work include Organ Transplantation Techniques and Outcomes (116 papers), Liver Disease and Transplantation (101 papers) and Liver Disease Diagnosis and Treatment (48 papers). Hideaki Uchiyama is often cited by papers focused on Organ Transplantation Techniques and Outcomes (116 papers), Liver Disease and Transplantation (101 papers) and Liver Disease Diagnosis and Treatment (48 papers). Hideaki Uchiyama collaborates with scholars based in Japan, United States and China. Hideaki Uchiyama's co-authors include Yoshihiko Maehara, Tomoharu Yoshizumi, Yuji Soejima, Ken Shirabe, Toru Ikegami, Akinobu Taketomi, Noboru Harada, Mitsuo Shimada, Norifumi Harimoto and Hiroto Kayashima and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Hideaki Uchiyama

227 papers receiving 5.7k citations

Author Peers

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

Author Last Decade Papers Cites
Hideaki Uchiyama 3.8k 3.5k 1.9k 884 801 237 5.7k
Noboru Harada 2.4k 0.6× 2.6k 0.7× 1.0k 0.6× 1.0k 1.1× 533 0.7× 253 4.7k
Yasutsugu Takada 4.1k 1.1× 4.5k 1.3× 1.6k 0.9× 934 1.1× 871 1.1× 290 6.9k
Choon Hyuck David Kwon 3.1k 0.8× 3.2k 0.9× 1.7k 0.9× 625 0.7× 636 0.8× 304 5.2k
Constantino Fondevila 2.7k 0.7× 3.0k 0.9× 1.4k 0.7× 655 0.7× 763 1.0× 194 5.0k
Massimo Rossi 2.6k 0.7× 2.1k 0.6× 1.6k 0.9× 541 0.6× 358 0.4× 279 4.8k
Toshimi Kaido 3.2k 0.8× 3.3k 0.9× 1.8k 1.0× 1.2k 1.3× 485 0.6× 265 6.5k
Olivier Scatton 3.1k 0.8× 2.9k 0.8× 1.3k 0.7× 1.1k 1.3× 395 0.5× 195 5.0k
Rosa Gilabert 3.2k 0.8× 2.6k 0.7× 2.9k 1.6× 540 0.6× 418 0.5× 141 6.3k
Silvio Nadalin 3.2k 0.8× 3.2k 0.9× 1.5k 0.8× 860 1.0× 703 0.9× 215 5.2k
Derek Manas 1.7k 0.5× 2.4k 0.7× 1.2k 0.7× 1.2k 1.3× 731 0.9× 198 5.0k

Countries citing papers authored by Hideaki Uchiyama

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Uchiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Uchiyama

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