Ryuichi Kita

2.3k total citations
76 papers, 1.8k citations indexed

About

Ryuichi Kita is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Ryuichi Kita has authored 76 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Hepatology, 41 papers in Epidemiology and 16 papers in Surgery. Recurrent topics in Ryuichi Kita's work include Hepatocellular Carcinoma Treatment and Prognosis (55 papers), Liver Disease Diagnosis and Treatment (34 papers) and Hepatitis C virus research (15 papers). Ryuichi Kita is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (55 papers), Liver Disease Diagnosis and Treatment (34 papers) and Hepatitis C virus research (15 papers). Ryuichi Kita collaborates with scholars based in Japan and United States. Ryuichi Kita's co-authors include Tōru Kimura, Yukio Osaki, Hiroki Nishikawa, Azusa Sakamoto, Sumio Saito, Akihiro Nasu, Haruhiko Takeda, Akira Arimoto, Norihiro Nishijima and Yoshihiro Fukuda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Radiology.

In The Last Decade

Ryuichi Kita

72 papers receiving 1.7k citations

Peers

Ryuichi Kita
Comparison fields: 5 of 83
  • Hepatology 1.3k
  • Epidemiology 923
  • Surgery 370
  • Oncology 359
  • Molecular Biology 238
Replace Delia D’Avola with:
Delia D’Avola Spain
Shuji Sumie Japan
Judith Ertle Germany
Masahiro Takita Japan
Kuansheng Ma China
Raffaele Romito Italy
Masahiko Tomimatsu Japan
Laura A. Dawson Canada
Kun‐Ming Chan Taiwan
Aya Miyagawa‐Hayashino Japan
Delia D’Avola Spain View profile →
Citations per field, relative to Ryuichi Kita
Ryuichi Kita · 1×
Citations per year, relative to Ryuichi Kita
Ryuichi Kita · 1×

Countries citing papers authored by Ryuichi Kita

Since Specialization
Citations

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

Fields of papers citing papers by Ryuichi Kita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryuichi Kita

This figure shows the co-authorship network connecting the top 25 collaborators of Ryuichi Kita. A scholar is included among the top collaborators of Ryuichi Kita 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 Ryuichi Kita. Ryuichi Kita is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 20
3
Transcatheter arterial embolic therapies for hepatocellular carcinoma: a literature review.
47
4 1
5 1
6 20
7 32
8 11
9 1
10 20
11 35
12 13
13 16
14 14
15 0
16 10
17 1
18 40
19 1
20 110

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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