Takeshi Kamura

22 total papers · 744 total citations
18 papers, 604 citations indexed

About

Takeshi Kamura is a scholar working on Epidemiology, Hepatology and Surgery. According to data from OpenAlex, Takeshi Kamura has authored 18 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Hepatology and 5 papers in Surgery. Recurrent topics in Takeshi Kamura's work include Liver Disease Diagnosis and Treatment (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Liver Disease and Transplantation (3 papers). Takeshi Kamura is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Liver Disease and Transplantation (3 papers). Takeshi Kamura collaborates with scholars based in Japan. Takeshi Kamura's co-authors include Akira Ogose, Tetsuo Hotta, Naoki Kondo, Naoto Endo, Hiroyuki Kawashima, Wenguang Gu, Toshifumi Gabata, Katsuyoshi Ito, Koji Ueda and Akihiro Nishie and has published in prestigious journals such as Investigative Radiology, Journal of Computer Assisted Tomography and Journal of Biomedical Materials Research Part B Applied Biomaterials.

In The Last Decade

Takeshi Kamura

16 papers receiving 588 citations

Author Peers

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

Author						Papers	Cites
Takeshi Kamura	234	215	200	197	118	18	604
Tetsuro Nakazawa	213 0.9×	146 0.7×	133 0.7×	74 0.4×	223 1.9×	23	604
Wenbo Wang	185 0.8×	101 0.5×	139 0.7×	48 0.2×	34 0.3×	28	656
Susan G. Chosy	146 0.6×	170 0.8×	125 0.6×	62 0.3×	167 1.4×	20	638
Hiroyuki Irie	326 1.4×	18 0.1×	242 1.2×	55 0.3×	54 0.5×	32	631
Yun Su	134 0.6×	59 0.3×	134 0.7×	41 0.2×	27 0.2×	42	583
H Uchida	49 0.2×	252 1.2×	122 0.6×	108 0.5×	75 0.6×	26	622
Rajesh Uthamanthil	183 0.8×	27 0.1×	149 0.7×	86 0.4×	31 0.3×	24	546
Manfred Georg Krukemeyer	45 0.2×	122 0.6×	345 1.7×	81 0.4×	20 0.2×	39	583
Eva Schulze	211 0.9×	58 0.3×	141 0.7×	57 0.3×	5 0.0×	26	518
F. Dijk	119 0.5×	66 0.3×	144 0.7×	76 0.4×	11 0.1×	30	649

Countries citing papers authored by Takeshi Kamura

Since Specialization

Citations

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

Fields of papers citing papers by Takeshi Kamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Kamura

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