Teruhiro Nakada

227 total papers · 2.3k total citations
159 papers, 1.7k citations indexed

About

Teruhiro Nakada is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Teruhiro Nakada has authored 159 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Surgery, 45 papers in Pulmonary and Respiratory Medicine and 40 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Teruhiro Nakada's work include Urinary Bladder and Prostate Research (20 papers), Hormonal Regulation and Hypertension (19 papers) and Adrenal and Paraganglionic Tumors (18 papers). Teruhiro Nakada is often cited by papers focused on Urinary Bladder and Prostate Research (20 papers), Hormonal Regulation and Hypertension (19 papers) and Adrenal and Paraganglionic Tumors (18 papers). Teruhiro Nakada collaborates with scholars based in Japan, United States and France. Teruhiro Nakada's co-authors include Isoji Sasagawa, Manabu Ishigooka, Yōko Kubota, Takashi Katayama, Yasuhiro Suzuki, Tohru Hashimoto, Hitoshi Suzuki, Morihiro Watanabe, Junichi Fujii and Isoji Sasagawa and has published in prestigious journals such as Cancer, Pain and The Journal of Urology.

In The Last Decade

Teruhiro Nakada

153 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Teruhiro Nakada 555 441 411 305 283 159 1.7k
Isoji Sasagawa 584 1.1× 596 1.4× 244 0.6× 221 0.7× 213 0.8× 113 1.7k
Tetsuya Takao 388 0.7× 782 1.8× 348 0.8× 329 1.1× 373 1.3× 152 2.3k
Yuji Maeda 330 0.6× 333 0.8× 321 0.8× 481 1.6× 132 0.5× 133 1.7k
Clara Crescioli 353 0.6× 744 1.7× 473 1.2× 162 0.5× 221 0.8× 76 2.4k
Chunhua Deng 591 1.1× 652 1.5× 464 1.1× 92 0.3× 512 1.8× 138 2.3k
J. Breza 529 1.0× 405 0.9× 526 1.3× 370 1.2× 403 1.4× 103 1.8k
Zhuo Liu 312 0.6× 454 1.0× 209 0.5× 524 1.7× 103 0.4× 132 1.7k
H.P. Rohr 159 0.3× 414 0.9× 324 0.8× 422 1.4× 323 1.1× 106 1.6k
Núria Torán 350 0.6× 607 1.4× 128 0.3× 142 0.5× 114 0.4× 71 1.5k
Federica Barbagallo 316 0.6× 968 2.2× 340 0.8× 131 0.4× 65 0.2× 110 2.3k

Countries citing papers authored by Teruhiro Nakada

Since Specialization
Citations

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

Fields of papers citing papers by Teruhiro Nakada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teruhiro Nakada

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