T Marukawa

43 total papers · 666 total citations
30 papers, 499 citations indexed

About

T Marukawa is a scholar working on Hepatology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, T Marukawa has authored 30 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hepatology, 11 papers in Epidemiology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in T Marukawa's work include Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Liver Disease Diagnosis and Treatment (10 papers) and MRI in cancer diagnosis (7 papers). T Marukawa is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Liver Disease Diagnosis and Treatment (10 papers) and MRI in cancer diagnosis (7 papers). T Marukawa collaborates with scholars based in Japan, United States and Italy. T Marukawa's co-authors include C Kuroda, T Kozuka, Takamichi Murakami, Morito Monden, Kenichi Wakasa, Hironobu Nakamura, Masami Sakurai, T Hosoki, Jun Okamura and Hiromitsu Onishi and has published in prestigious journals such as Cancer, Radiology and American Journal of Roentgenology.

In The Last Decade

T Marukawa

26 papers receiving 479 citations

Author Peers

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

Author Last Decade Papers Cites
T Marukawa 320 195 144 126 94 30 499
A Todo 354 1.1× 190 1.0× 137 1.0× 132 1.0× 83 0.9× 24 517
Hitoshi Tochio 356 1.1× 201 1.0× 131 0.9× 113 0.9× 84 0.9× 26 470
Carmine Coppola 465 1.5× 357 1.8× 65 0.5× 140 1.1× 68 0.7× 32 613
Francesco Agnello 219 0.7× 170 0.9× 181 1.3× 99 0.8× 29 0.3× 21 451
Huasong Cai 206 0.6× 125 0.6× 222 1.5× 124 1.0× 39 0.4× 35 459
Peter Popovič 238 0.7× 118 0.6× 60 0.4× 141 1.1× 97 1.0× 30 544
Jeongin Yoo 264 0.8× 274 1.4× 182 1.3× 127 1.0× 75 0.8× 48 534
Paula M. Novelli 308 1.0× 154 0.8× 87 0.6× 259 2.1× 37 0.4× 38 593
Jonathon Willatt 290 0.9× 219 1.1× 162 1.1× 191 1.5× 41 0.4× 20 588
Adib R. Karam 232 0.7× 196 1.0× 164 1.1× 154 1.2× 41 0.4× 33 518

Countries citing papers authored by T Marukawa

Since Specialization
Citations

This map shows the geographic impact of T Marukawa'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 T Marukawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Marukawa more than expected).

Fields of papers citing papers by T Marukawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Marukawa

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