Seiji Kaino

56 total papers · 539 total citations
33 papers, 402 citations indexed

About

Seiji Kaino is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Seiji Kaino has authored 33 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 14 papers in Oncology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Seiji Kaino's work include Pancreatic and Hepatic Oncology Research (13 papers), Gallbladder and Bile Duct Disorders (7 papers) and Esophageal and GI Pathology (7 papers). Seiji Kaino is often cited by papers focused on Pancreatic and Hepatic Oncology Research (13 papers), Gallbladder and Bile Duct Disorders (7 papers) and Esophageal and GI Pathology (7 papers). Seiji Kaino collaborates with scholars based in Japan and United States. Seiji Kaino's co-authors include Isao Sakaida, Kazuyuki Nakamura, Satoshi Kondoh, Yasuhiro Kuramitsu, Kiwamu Okita, Taro Takami, Takahiro Yamasaki, Kiwamu Okita, Koji Miyamoto and Shomei Ryozawa and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Oncotarget and Electrophoresis.

In The Last Decade

Seiji Kaino

29 papers receiving 394 citations

Author Peers

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

Author						Papers	Cites
Seiji Kaino	165	164	101	74	67	33	402
Hui-Ju Ch’ang	98 0.6×	135 0.8×	99 1.0×	70 0.9×	68 1.0×	37	421
Huimin Ma	157 1.0×	79 0.5×	52 0.5×	61 0.8×	95 1.4×	44	384
Noëlla Blétard	128 0.8×	101 0.6×	154 1.5×	44 0.6×	79 1.2×	26	420
Zhengji Song	189 1.1×	107 0.7×	72 0.7×	37 0.5×	85 1.3×	27	446
Ming Yang	107 0.6×	81 0.5×	81 0.8×	99 1.3×	61 0.9×	44	430
J. Kröpf	143 0.9×	81 0.5×	77 0.8×	41 0.6×	33 0.5×	31	441
Mario Schindeldecker	208 1.3×	94 0.6×	46 0.5×	105 1.4×	74 1.1×	31	381
Kornelia Aigner	158 1.0×	169 1.0×	71 0.7×	82 1.1×	43 0.6×	29	385
Jiansheng Li	137 0.8×	144 0.9×	76 0.8×	53 0.7×	72 1.1×	29	390
Jiunn-Chang Lin	149 0.9×	153 0.9×	49 0.5×	83 1.1×	77 1.1×	27	422

Countries citing papers authored by Seiji Kaino

Since Specialization

Citations

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

Fields of papers citing papers by Seiji Kaino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiji Kaino

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