Norio Wada

122 total papers · 2.2k total citations
52 papers, 628 citations indexed

About

Norio Wada is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Norio Wada has authored 52 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Endocrinology, Diabetes and Metabolism, 31 papers in Surgery and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Norio Wada's work include Hormonal Regulation and Hypertension (30 papers), Adrenal and Paraganglionic Tumors (27 papers) and Adrenal Hormones and Disorders (16 papers). Norio Wada is often cited by papers focused on Hormonal Regulation and Hypertension (30 papers), Adrenal and Paraganglionic Tumors (27 papers) and Adrenal Hormones and Disorders (16 papers). Norio Wada collaborates with scholars based in Japan, United States and Poland. Norio Wada's co-authors include Narihito Yoshioka, Takao Koike, Mika Tsuiki, Takamasa Ichijo, Hiromichi Kijima, Mitsumasa Kubo, Mitsuhide Naruse, Hitoshi Chiba, Hironobu Umakoshi and Ryuichi Sakamoto and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Scientific Reports.

In The Last Decade

Norio Wada

49 papers receiving 620 citations

Author Peers

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

Author Last Decade Papers Cites
Norio Wada 428 358 96 67 52 52 628
K. Winkler 187 0.4× 318 0.9× 216 2.3× 69 1.0× 89 1.7× 44 683
Mustafa Cesur 413 1.0× 241 0.7× 93 1.0× 26 0.4× 111 2.1× 28 772
Selçuk Dağdelen 426 1.0× 131 0.4× 137 1.4× 37 0.6× 46 0.9× 81 729
Tetsuhei Ogawa 219 0.5× 117 0.3× 68 0.7× 26 0.4× 61 1.2× 35 655
Ferdinando De Negri 250 0.6× 130 0.4× 99 1.0× 111 1.7× 140 2.7× 40 760
Xiaomu Kong 170 0.4× 157 0.4× 239 2.5× 30 0.4× 62 1.2× 42 709
Yuya Tsurutani 250 0.6× 209 0.6× 245 2.6× 41 0.6× 63 1.2× 53 695
Kenichiro Seki 156 0.4× 143 0.4× 217 2.3× 76 1.1× 47 0.9× 37 728
Keiichi Torimoto 437 1.0× 167 0.5× 159 1.7× 29 0.4× 146 2.8× 58 763
Oliver Tiebel 235 0.5× 314 0.9× 111 1.2× 66 1.0× 53 1.0× 37 738

Countries citing papers authored by Norio Wada

Since Specialization
Citations

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

Fields of papers citing papers by Norio Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norio Wada

This figure shows the co-authorship network connecting the top 25 collaborators of Norio Wada. A scholar is included among the top collaborators of Norio Wada 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 Norio Wada. Norio Wada 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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2026