Chitomi Hasebe

79 total papers · 846 total citations
29 papers, 300 citations indexed

About

Chitomi Hasebe is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Chitomi Hasebe has authored 29 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hepatology, 17 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Chitomi Hasebe's work include Liver Disease Diagnosis and Treatment (13 papers), Hepatitis C virus research (10 papers) and Hepatitis B Virus Studies (8 papers). Chitomi Hasebe is often cited by papers focused on Liver Disease Diagnosis and Treatment (13 papers), Hepatitis C virus research (10 papers) and Hepatitis B Virus Studies (8 papers). Chitomi Hasebe collaborates with scholars based in Japan, Greece and United States. Chitomi Hasebe's co-authors include Yutaka Kohgo, Katsuyuki Hirai, Yoshihiro Torimoto, Motohiro Shindo, Noriyasu Taya, Masayuki Kurosaki, Namiki Izumi, Hiroyuki Kimura, Kiwamu Okita and Isao Sakaida and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and British Journal of Haematology.

In The Last Decade

Chitomi Hasebe

26 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Chitomi Hasebe	219	208	46	46	30	29	300
Satoyoshi Yamashita	166 0.8×	141 0.7×	36 0.8×	49 1.1×	34 1.1×	21	270
Yen‐Cheng Chiu	207 0.9×	208 1.0×	38 0.8×	34 0.7×	38 1.3×	36	358
Lin Tm	108 0.5×	157 0.8×	52 1.1×	27 0.6×	32 1.1×	28	283
Zhaoxia Tan	180 0.8×	170 0.8×	37 0.8×	29 0.6×	28 0.9×	26	350
Keiji Kita	233 1.1×	228 1.1×	37 0.8×	14 0.3×	30 1.0×	23	358
Nathan J. Shores	175 0.8×	162 0.8×	40 0.9×	22 0.5×	75 2.5×	23	320
Toshie Mashiba	233 1.1×	223 1.1×	72 1.6×	25 0.5×	42 1.4×	27	352
Ali Albenmousa	229 1.0×	223 1.1×	26 0.6×	24 0.5×	78 2.6×	31	355
Nehad Hawash	218 1.0×	231 1.1×	59 1.3×	13 0.3×	59 2.0×	25	350
Francisco J. Martínez-Cerezo	140 0.6×	147 0.7×	23 0.5×	20 0.4×	71 2.4×	23	333

Countries citing papers authored by Chitomi Hasebe

Since Specialization

Citations

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

Fields of papers citing papers by Chitomi Hasebe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chitomi Hasebe

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