Masahiro Kitada

175 total papers · 935 total citations
89 papers, 592 citations indexed

About

Masahiro Kitada is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Masahiro Kitada has authored 89 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Pulmonary and Respiratory Medicine, 37 papers in Oncology and 23 papers in Surgery. Recurrent topics in Masahiro Kitada's work include HER2/EGFR in Cancer Research (15 papers), Breast Lesions and Carcinomas (14 papers) and Breast Cancer Treatment Studies (14 papers). Masahiro Kitada is often cited by papers focused on HER2/EGFR in Cancer Research (15 papers), Breast Lesions and Carcinomas (14 papers) and Breast Cancer Treatment Studies (14 papers). Masahiro Kitada collaborates with scholars based in Japan, United States and United Kingdom. Masahiro Kitada's co-authors include Satoshi Hayashi, Kei Ishibashi, Naoyuki Miyokawa, Yoshinari Matsuda, Yoshinobu Ohsaki, Tadahiro Sasajima, Kensuke Oikawa, Kazuhiro Sato, Yoshiaki Ebisawa and Yoshikazu Hachiro and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Masahiro Kitada

72 papers receiving 559 citations

Author Peers

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

Author						Papers	Cites
Masahiro Kitada	209	194	185	103	103	89	592
Yoshihisa Ohnishi	196 0.9×	138 0.7×	210 1.1×	129 1.3×	77 0.7×	65	660
Giulio Bigotti	210 1.0×	190 1.0×	122 0.7×	125 1.2×	120 1.2×	45	614
Aydanur Kargı	206 1.0×	132 0.7×	209 1.1×	130 1.3×	99 1.0×	60	644
Matsuyoshi Maeda	161 0.8×	214 1.1×	235 1.3×	159 1.5×	81 0.8×	53	681
Giovanni Branca	300 1.4×	137 0.7×	166 0.9×	129 1.3×	87 0.8×	41	664
Kazuo Ōno	120 0.6×	184 0.9×	209 1.1×	133 1.3×	66 0.6×	77	685
Andrea Palicelli	224 1.1×	180 0.9×	166 0.9×	126 1.2×	87 0.8×	111	693
Lobna Ayadi	188 0.9×	122 0.6×	132 0.7×	145 1.4×	81 0.8×	86	605
Shuhei Inoue	230 1.1×	146 0.8×	326 1.8×	192 1.9×	125 1.2×	63	687
Kazunari Oobu	215 1.0×	147 0.8×	118 0.6×	100 1.0×	49 0.5×	41	583

Countries citing papers authored by Masahiro Kitada

Since Specialization

Citations

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

Fields of papers citing papers by Masahiro Kitada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masahiro Kitada

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