Daisaku Nishimura

57 total papers · 455 total citations
29 papers, 351 citations indexed

About

Daisaku Nishimura is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Daisaku Nishimura has authored 29 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hepatology, 15 papers in Epidemiology and 10 papers in Surgery. Recurrent topics in Daisaku Nishimura's work include Liver Disease Diagnosis and Treatment (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Liver Disease and Transplantation (7 papers). Daisaku Nishimura is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Liver Disease and Transplantation (7 papers). Daisaku Nishimura collaborates with scholars based in Japan, Switzerland and Uganda. Daisaku Nishimura's co-authors include Katsumoto Kato, Naoyuki Katada, Hiroshi Hoshino, Hiroshi Sano, Takashi Kumada, Masami Imoto, Yoshihide Fukuda, Takashi Honda, Kazuhiko Hayashi and Hidenori Toyoda and has published in prestigious journals such as Scientific Reports, Journal of Gastroenterology and Hepatology and Journal of Gastroenterology.

In The Last Decade

Daisaku Nishimura

26 papers receiving 335 citations

Author Peers

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

Author						Papers	Cites
Daisaku Nishimura	192	159	141	66	44	29	351
U Plengvanit	205 1.1×	106 0.7×	164 1.2×	51 0.8×	47 1.1×	27	343
Daisuke Kakinuma	131 0.7×	82 0.5×	165 1.2×	71 1.1×	74 1.7×	41	321
Takayuki Fukuhara	253 1.3×	219 1.4×	133 0.9×	46 0.7×	39 0.9×	30	399
Kazuhiro Atsukawa	187 1.0×	124 0.8×	135 1.0×	56 0.8×	118 2.7×	26	377
Soo Hyun Ahn	85 0.4×	115 0.7×	170 1.2×	45 0.7×	40 0.9×	25	329
Naoyuki Katada	73 0.4×	78 0.5×	188 1.3×	86 1.3×	54 1.2×	30	303
Soichiro Kiyono	209 1.1×	185 1.2×	78 0.6×	41 0.6×	40 0.9×	42	356
Teruo Komokata	189 1.0×	90 0.6×	217 1.5×	66 1.0×	70 1.6×	39	384
Michitaka Imai	214 1.1×	148 0.9×	101 0.7×	54 0.8×	68 1.5×	33	393
Kohei Kotani	98 0.5×	83 0.5×	64 0.5×	54 0.8×	32 0.7×	43	323

Countries citing papers authored by Daisaku Nishimura

Since Specialization

Citations

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

Fields of papers citing papers by Daisaku Nishimura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisaku Nishimura

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