Hitomi Takada

106 total papers · 1.2k total citations
58 papers, 796 citations indexed

About

Hitomi Takada is a scholar working on Hepatology, Epidemiology and Physiology. According to data from OpenAlex, Hitomi Takada has authored 58 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Hepatology, 29 papers in Epidemiology and 7 papers in Physiology. Recurrent topics in Hitomi Takada's work include Liver Disease Diagnosis and Treatment (22 papers), Hepatitis C virus research (12 papers) and Hepatocellular Carcinoma Treatment and Prognosis (11 papers). Hitomi Takada is often cited by papers focused on Liver Disease Diagnosis and Treatment (22 papers), Hepatitis C virus research (12 papers) and Hepatocellular Carcinoma Treatment and Prognosis (11 papers). Hitomi Takada collaborates with scholars based in Japan, United States and Austria. Hitomi Takada's co-authors include Nobuharu Tamaki, Namiki Izumi, Masayuki Kurosaki, Jun Itakura, Yutaka Yasui, Hiroyuki Nakanishi, Yuka Takahashi, Kaoru Tsuchiya, Nobuyuki Enomoto and Mayu Higuchi and has published in prestigious journals such as PLoS ONE, Hepatology and Scientific Reports.

In The Last Decade

Hitomi Takada

53 papers receiving 781 citations

Author Peers

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

Author Last Decade Papers Cites
Hitomi Takada 460 456 99 92 73 58 796
Ji Soo Song 352 0.8× 501 1.1× 76 0.8× 54 0.6× 54 0.7× 65 946
Hidekatsu Kuroda 560 1.2× 574 1.3× 61 0.6× 51 0.6× 58 0.8× 81 868
Daniela Villari 327 0.7× 375 0.8× 53 0.5× 144 1.6× 94 1.3× 42 751
Gabriela Perdomo Coral 446 1.0× 570 1.3× 85 0.9× 55 0.6× 42 0.6× 55 755
Masakatsu Uchihara 567 1.2× 424 0.9× 84 0.8× 49 0.5× 34 0.5× 36 747
June Sung Lee 586 1.3× 515 1.1× 44 0.4× 106 1.2× 68 0.9× 61 929
Uzma Shah 250 0.5× 363 0.8× 84 0.8× 209 2.3× 79 1.1× 40 899
Chi‐Jen Chu 774 1.7× 766 1.7× 73 0.7× 58 0.6× 54 0.7× 58 1.0k
Hongqin Xu 332 0.7× 502 1.1× 35 0.4× 193 2.1× 92 1.3× 46 872
Valéria Pereira Lanzoni 577 1.3× 618 1.4× 33 0.3× 91 1.0× 71 1.0× 64 969

Countries citing papers authored by Hitomi Takada

Since Specialization
Citations

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

Fields of papers citing papers by Hitomi Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitomi Takada

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