Keigo Tani

26 total papers · 629 total citations
18 papers, 447 citations indexed

About

Keigo Tani is a scholar working on Surgery, Oncology and Hepatology. According to data from OpenAlex, Keigo Tani has authored 18 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 9 papers in Oncology and 9 papers in Hepatology. Recurrent topics in Keigo Tani's work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). Keigo Tani is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). Keigo Tani collaborates with scholars based in Japan, United States and Spain. Keigo Tani's co-authors include Norihiro Kokudo, Kiyoshi Hasegawa, Yoshihiro Sakamoto, Junichi Kaneko, Takeaki Ishizawa, Yasuhiko Sugawara, Taku Aoki, Nobuhiro Harada, Atsushi Shimizu and Yoshihiro Mise and has published in prestigious journals such as SHILAP Revista de lepidopterología, Medicine and Journal of the American College of Surgeons.

In The Last Decade

Keigo Tani

18 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
Keigo Tani	294	266	132	128	92	18	447
Erin M. Hanna	213 0.7×	213 0.8×	112 0.8×	151 1.2×	42 0.5×	20	418
N Furumoto	269 0.9×	253 1.0×	193 1.5×	198 1.5×	52 0.6×	17	512
O. T. Terpstra	285 1.0×	136 0.5×	217 1.6×	119 0.9×	74 0.8×	29	519
Pascale Tinguely	175 0.6×	302 1.1×	90 0.7×	139 1.1×	85 0.9×	26	434
Catherine Coyle	242 0.8×	156 0.6×	156 1.2×	162 1.3×	29 0.3×	21	466
M. Birth	349 1.2×	132 0.5×	234 1.8×	162 1.3×	45 0.5×	28	522
Joan Vidal-Jové	170 0.6×	96 0.4×	77 0.6×	120 0.9×	155 1.7×	18	464
Caroline R. Jenkins	214 0.7×	259 1.0×	75 0.6×	106 0.8×	80 0.9×	14	504
Ayo Oshowo	241 0.8×	211 0.8×	131 1.0×	161 1.3×	21 0.2×	15	440
Leong Tiong	160 0.5×	157 0.6×	184 1.4×	81 0.6×	37 0.4×	19	498

Countries citing papers authored by Keigo Tani

Since Specialization

Citations

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

Fields of papers citing papers by Keigo Tani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keigo Tani

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