K Taniguchi

47 total papers · 791 total citations
24 papers, 662 citations indexed

About

K Taniguchi is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, K Taniguchi has authored 24 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 9 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in K Taniguchi's work include Intraperitoneal and Appendiceal Malignancies (8 papers), Neuroendocrine Tumor Research Advances (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). K Taniguchi is often cited by papers focused on Intraperitoneal and Appendiceal Malignancies (8 papers), Neuroendocrine Tumor Research Advances (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). K Taniguchi collaborates with scholars based in Japan, China and United Kingdom. K Taniguchi's co-authors include Sachio Fushida, Etsurou Bandou, Hideto Fujita, Takamitsu Sasaki, Yoshio Endo, Ichiro Ninomiya, Y Yonemura, Mitsunori Kawamura, Yoshio Endou and Yutaka Yonemura and has published in prestigious journals such as Cement and Concrete Research, Journal of Clinical Medicine and Oncology Reports.

In The Last Decade

K Taniguchi

24 papers receiving 637 citations

Author Peers

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

Author						Papers	Cites
K Taniguchi	367	321	142	130	116	24	662
Yasuo Koga	459 1.3×	192 0.6×	183 1.3×	110 0.8×	68 0.6×	27	713
J.C. Vaillant	80 0.2×	279 0.9×	39 0.3×	128 1.0×	92 0.8×	15	621
S-H Lin	264 0.7×	113 0.4×	94 0.7×	60 0.5×	98 0.8×	14	569
Duiping Feng	293 0.8×	113 0.4×	145 1.0×	70 0.5×	120 1.0×	45	660
Hogeun Kim	209 0.6×	360 1.1×	91 0.6×	246 1.9×	131 1.1×	26	740
Guoliang Qiao	151 0.4×	229 0.7×	135 1.0×	270 2.1×	169 1.5×	48	754
Takaomi Okawa	366 1.0×	192 0.6×	91 0.6×	215 1.7×	126 1.1×	25	667
Ping Wen	293 0.8×	201 0.6×	209 1.5×	98 0.8×	85 0.7×	33	598
Daniela Graziani	285 0.8×	394 1.2×	107 0.8×	248 1.9×	163 1.4×	23	767
Naoki Takegawa	148 0.4×	522 1.6×	63 0.4×	154 1.2×	306 2.6×	28	723

Countries citing papers authored by K Taniguchi

Since Specialization

Citations

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

Fields of papers citing papers by K Taniguchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Taniguchi

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