Tatsuya Hirota

54 total papers · 525 total citations
35 papers, 408 citations indexed

About

Tatsuya Hirota is a scholar working on Pulmonary and Respiratory Medicine, Hepatology and Surgery. According to data from OpenAlex, Tatsuya Hirota has authored 35 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pulmonary and Respiratory Medicine, 13 papers in Hepatology and 11 papers in Surgery. Recurrent topics in Tatsuya Hirota's work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Medical Imaging and Pathology Studies (6 papers) and Organ Transplantation Techniques and Outcomes (6 papers). Tatsuya Hirota is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Medical Imaging and Pathology Studies (6 papers) and Organ Transplantation Techniques and Outcomes (6 papers). Tatsuya Hirota collaborates with scholars based in Japan and United States. Tatsuya Hirota's co-authors include Tsunehiko Nishimura, Takuji Yamagami, Takeharu Kato, Shigeharu Iida, Rika Yoshimatsu, Tomohiro Matsumoto, Osamu Tanaka, Toshiyuki Nakamura, Kei Yamada and Chio Okuyama and has published in prestigious journals such as CHEST Journal, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Tatsuya Hirota

34 papers receiving 397 citations

Author Peers

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

Author Last Decade Papers Cites
Tatsuya Hirota 207 152 141 64 45 35 408
Jeffrey D. Jaskolka 215 1.0× 186 1.2× 132 0.9× 49 0.8× 31 0.7× 19 407
Alessandro Posa 189 0.9× 153 1.0× 182 1.3× 94 1.5× 40 0.9× 56 485
Gyeong Sik Jeon 165 0.8× 145 1.0× 76 0.5× 55 0.9× 17 0.4× 39 480
Shiro Onozawa 140 0.7× 243 1.6× 118 0.8× 40 0.6× 21 0.5× 54 418
Rocco Corso 132 0.6× 95 0.6× 160 1.1× 207 3.2× 25 0.6× 36 489
Jason K. Wong 243 1.2× 169 1.1× 76 0.5× 37 0.6× 20 0.4× 35 473
Axel Thalhammer 191 0.9× 193 1.3× 88 0.6× 93 1.5× 24 0.5× 32 464
Sum Leong 177 0.9× 186 1.2× 58 0.4× 74 1.2× 14 0.3× 34 398
Carlo Ferro 173 0.8× 214 1.4× 158 1.1× 48 0.8× 22 0.5× 31 414
Hwan Hoon Chung 177 0.9× 170 1.1× 38 0.3× 98 1.5× 35 0.8× 54 383

Countries citing papers authored by Tatsuya Hirota

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuya Hirota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuya Hirota

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