Motoki Ninomiya

139 total papers · 1.6k total citations
75 papers, 1.0k citations indexed

About

Motoki Ninomiya is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Oncology. According to data from OpenAlex, Motoki Ninomiya has authored 75 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Pulmonary and Respiratory Medicine, 32 papers in Surgery and 26 papers in Oncology. Recurrent topics in Motoki Ninomiya's work include Gastric Cancer Management and Outcomes (36 papers), Gastrointestinal Tumor Research and Treatment (20 papers) and Metastasis and carcinoma case studies (19 papers). Motoki Ninomiya is often cited by papers focused on Gastric Cancer Management and Outcomes (36 papers), Gastrointestinal Tumor Research and Treatment (20 papers) and Metastasis and carcinoma case studies (19 papers). Motoki Ninomiya collaborates with scholars based in Japan, United Kingdom and United States. Motoki Ninomiya's co-authors include Masanori Terashima, Norihisa Takakura, Akira Hara, Hideaki Shiraishi, Shuichi Sakai, Kazunobu Sato, Katsuhisa Matsuura, Yoshihiro Deyashiki, Hitoshi Katai and Masahiko Nishiyama and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Infection and Immunity.

In The Last Decade

Motoki Ninomiya

59 papers receiving 981 citations

Author Peers

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

Author Last Decade Papers Cites
Motoki Ninomiya 661 336 310 298 114 75 1.0k
H. O. Klein 374 0.6× 246 0.7× 94 0.3× 329 1.1× 41 0.4× 39 1.0k
Hitoshi Tonouchi 381 0.6× 795 2.4× 144 0.5× 298 1.0× 36 0.3× 57 1.2k
Rajiv Kumar 266 0.4× 257 0.8× 158 0.5× 338 1.1× 45 0.4× 75 1.1k
Xiangji Ying 487 0.7× 312 0.9× 214 0.7× 186 0.6× 9 0.1× 55 889
Manabu Yamamura 236 0.4× 288 0.9× 104 0.3× 250 0.8× 20 0.2× 43 863
Dae‐Seong Myung 257 0.4× 368 1.1× 127 0.4× 198 0.7× 21 0.2× 72 887
Mitsugu Hironaka 300 0.5× 262 0.8× 108 0.3× 213 0.7× 204 1.8× 49 1.0k
Yu Na Kang 208 0.3× 411 1.2× 131 0.4× 157 0.5× 73 0.6× 63 1.0k
I. W. Delamore 116 0.2× 214 0.6× 95 0.3× 151 0.5× 40 0.4× 68 1.2k
Yu Yang 308 0.5× 173 0.5× 105 0.3× 297 1.0× 14 0.1× 52 935

Countries citing papers authored by Motoki Ninomiya

Since Specialization
Citations

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

Fields of papers citing papers by Motoki Ninomiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Motoki Ninomiya

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