Masato Takano

44 total papers · 611 total citations
34 papers, 432 citations indexed

About

Masato Takano is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Masato Takano has authored 34 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 9 papers in Surgery and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Masato Takano's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Occupational and environmental lung diseases (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). Masato Takano is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers), Occupational and environmental lung diseases (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). Masato Takano collaborates with scholars based in Japan and United States. Masato Takano's co-authors include Maiko Takeda, Akitaka Nonomura, Takahiko Kasai, Yasunori Enomoto, Kohei Morita, Chiho Obayashi, Shigeki Kuriyama, Tatsuhiro Tsujimoto, Hiroshi Fukui and Yoshinobu Matsumura and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Pathology and Surgery.

In The Last Decade

Masato Takano

33 papers receiving 419 citations

Author Peers

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

Author						Papers	Cites
Masato Takano	185	116	93	61	61	34	432
Marie‐Christine Aubry	198 1.1×	131 1.1×	124 1.3×	69 1.1×	35 0.6×	30	454
Cinzia Giacometti	236 1.3×	90 0.8×	68 0.7×	35 0.6×	27 0.4×	33	491
N. Alberti	147 0.8×	109 0.9×	57 0.6×	61 1.0×	131 2.1×	31	445
P. Flemming	131 0.7×	148 1.3×	169 1.8×	89 1.5×	56 0.9×	30	466
Saverio Ligato	179 1.0×	176 1.5×	144 1.5×	28 0.5×	65 1.1×	26	413
Nobutatsu Takayanagi	119 0.6×	144 1.2×	152 1.6×	51 0.8×	92 1.5×	46	454
M.F. Tungekar	116 0.6×	114 1.0×	128 1.4×	78 1.3×	24 0.4×	29	437
Caroline Poli	102 0.6×	64 0.6×	68 0.7×	37 0.6×	32 0.5×	23	396
Tetsuya Hamada	120 0.6×	89 0.8×	121 1.3×	59 1.0×	80 1.3×	35	461
Carmen González‐Lois	123 0.7×	90 0.8×	85 0.9×	125 2.0×	41 0.7×	33	398

Countries citing papers authored by Masato Takano

Since Specialization

Citations

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

Fields of papers citing papers by Masato Takano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Takano

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