Nobuyasu Takada

68 total papers · 984 total citations
48 papers, 796 citations indexed

About

Nobuyasu Takada is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Nobuyasu Takada has authored 48 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Surgery, 25 papers in Pulmonary and Respiratory Medicine and 10 papers in Molecular Biology. Recurrent topics in Nobuyasu Takada's work include Esophageal Cancer Research and Treatment (15 papers), Esophageal and GI Pathology (12 papers) and Metastasis and carcinoma case studies (9 papers). Nobuyasu Takada is often cited by papers focused on Esophageal Cancer Research and Treatment (15 papers), Esophageal and GI Pathology (12 papers) and Metastasis and carcinoma case studies (9 papers). Nobuyasu Takada collaborates with scholars based in Japan and United Kingdom. Nobuyasu Takada's co-authors include Harushi Osugi, Hiroaki Kinoshita, Masayuki Higashino, Masashi Takemura, Shoji Fukushima, Takaaki Hori, Hideki Wanibuchi, Shuzo Otani, Yoshihisa Yano and Shoji Fukushima and has published in prestigious journals such as Cancer, Journal of Nutrition and Carcinogenesis.

In The Last Decade

Nobuyasu Takada

46 papers receiving 763 citations

Author Peers

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

Author Last Decade Papers Cites
Nobuyasu Takada 382 300 235 163 128 48 796
Masanori Nishioka 313 0.8× 238 0.8× 187 0.8× 333 2.0× 146 1.1× 73 969
Guangwei Xu 309 0.8× 235 0.8× 211 0.9× 149 0.9× 90 0.7× 20 719
Guang‐wei Xu 485 1.3× 326 1.1× 285 1.2× 151 0.9× 58 0.5× 31 1.0k
Qiang Zhan 228 0.6× 196 0.7× 179 0.8× 243 1.5× 100 0.8× 64 750
Xu Guo 204 0.5× 203 0.7× 310 1.3× 332 2.0× 76 0.6× 48 876
Ok‐Jae Lee 298 0.8× 168 0.6× 195 0.8× 112 0.7× 101 0.8× 80 940
Maolin Jin 561 1.5× 472 1.6× 99 0.4× 124 0.8× 63 0.5× 23 816
H. O. Klein 246 0.6× 374 1.2× 168 0.7× 329 2.0× 49 0.4× 39 1.0k
Wei‐Chih Su 269 0.7× 161 0.5× 193 0.8× 366 2.2× 73 0.6× 79 774
Yang Zhang 601 1.6× 342 1.1× 274 1.2× 122 0.7× 38 0.3× 46 919

Countries citing papers authored by Nobuyasu Takada

Since Specialization
Citations

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

Fields of papers citing papers by Nobuyasu Takada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuyasu Takada

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