Kazuhisa Toda

1.9k total citations
34 papers, 1.3k citations indexed

About

Kazuhisa Toda is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Oncology. According to data from OpenAlex, Kazuhisa Toda has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Surgery and 9 papers in Oncology. Recurrent topics in Kazuhisa Toda's work include Thyroid Cancer Diagnosis and Treatment (30 papers), Thyroid and Parathyroid Surgery (12 papers) and Head and Neck Anomalies (4 papers). Kazuhisa Toda is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (30 papers), Thyroid and Parathyroid Surgery (12 papers) and Head and Neck Anomalies (4 papers). Kazuhisa Toda collaborates with scholars based in Japan and United States. Kazuhisa Toda's co-authors include Iwao Sugitani, Keiko Yamada, Yoshihide Fujimoto, Noriko Yamamoto, Motoko IKENAGA, Aya Ebina, Kazuyoshi Kawabata, Osamu Fukuoka, Shunji Takahashi and Hiroki Mitani and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and Annals of Surgical Oncology.

In The Last Decade

Kazuhisa Toda

33 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kazuhisa Toda Japan 17 1.2k 631 364 200 131 34 1.3k
Chie Masaki Japan 17 1.0k 0.9× 586 0.9× 142 0.4× 166 0.8× 109 0.8× 49 1.1k
Laura Moss United Kingdom 9 987 0.8× 609 1.0× 166 0.5× 133 0.7× 189 1.4× 16 1.2k
Kenichi Matsuzu Japan 18 815 0.7× 428 0.7× 173 0.5× 128 0.6× 85 0.6× 57 1.0k
Keiko Ohkuwa Japan 18 954 0.8× 527 0.8× 137 0.4× 196 1.0× 77 0.6× 46 1.1k
Nobuyasu Suganuma Japan 19 685 0.6× 449 0.7× 270 0.7× 126 0.6× 60 0.5× 69 1.1k
Nicole M. Iñiguez‐Ariza United States 17 789 0.7× 570 0.9× 130 0.4× 81 0.4× 69 0.5× 33 1.0k
Virginia Cappagli Italy 18 868 0.7× 233 0.4× 308 0.8× 195 1.0× 79 0.6× 38 1.1k
Uwe Mäder Germany 20 902 0.8× 532 0.8× 155 0.4× 174 0.9× 176 1.3× 38 1.1k
Laura Y. Wang United States 16 865 0.7× 520 0.8× 169 0.5× 175 0.9× 107 0.8× 26 979
Nikola Bešič Slovenia 22 720 0.6× 585 0.9× 283 0.8× 221 1.1× 65 0.5× 82 1.3k

Countries citing papers authored by Kazuhisa Toda

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhisa Toda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhisa Toda

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhisa Toda. A scholar is included among the top collaborators of Kazuhisa Toda 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 Kazuhisa Toda. Kazuhisa Toda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fukuda, Naoki, Kazuhisa Toda, Ryosuke Oki, et al.. (2024). Clinical impact of proteinuria on renal function and treatment outcomes in patients with radioiodine-refractory thyroid cancer treated with lenvatinib. Endocrine Journal. 71(4). 363–371. 1 indexed citations
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Fukuda, Naoki, Kazuhisa Toda, Akihiro Ohmoto, et al.. (2022). A proposed clinical scoring system for initiation of lenvatinib treatment in radioiodine-refractory thyroid cancer patients. Endocrine. 76(1). 70–77. 6 indexed citations
5.
Fukuda, Naoki, Kazuhisa Toda, Akihiro Ohmoto, et al.. (2021). Baseline Tumour Size as a Prognostic Factor for Radioiodine-refractory Differentiated Thyroid Cancer Treated With Lenvatinib. Anticancer Research. 41(3). 1683–1691. 7 indexed citations
6.
Fukuda, Naoki, Kazuhisa Toda, Yu Fujiwara, et al.. (2020). Neutrophil-to-Lymphocyte Ratio as a Prognostic Marker for Anaplastic Thyroid Cancer Treated With Lenvatinib. In Vivo. 34(5). 2859–2864. 21 indexed citations
7.
Sugitani, Iwao, Kazuyoshi Kawabata, Hiroki Mitani, et al.. (2017). Thick tumor capsule is a valuable risk factor for distant metastasis in follicular thyroid carcinoma. Auris Nasus Larynx. 45(1). 147–155. 7 indexed citations
8.
Tahara, Makoto, Naomi Kiyota, Tomoko Yamazaki, et al.. (2017). Lenvatinib for Anaplastic Thyroid Cancer. Frontiers in Oncology. 7. 25–25. 143 indexed citations
9.
Koizumi, Mitsuru, Tabu Gokita, & Kazuhisa Toda. (2017). Impending Atypical Femoral Fracture in Patients With Medullary Thyroid Cancer With Skeletal Metastasis Treated With Long-term Bisphosphonate and Denosumab. Clinical Nuclear Medicine. 42(6). 463–464. 9 indexed citations
10.
Takahashi, Shunji, Naomi Kiyota, Tomoko Yamazaki, et al.. (2016). Phase II study of lenvatinib in patients with differentiated, medullary, and anaplastic thyroid cancer: Final analysis results.. Journal of Clinical Oncology. 34(15_suppl). 6088–6088. 17 indexed citations
11.
Sugitani, Iwao, et al.. (2016). Common carotid artery rupture during treatment with lenvatinib for anaplastic thyroid cancer. International Cancer Conference Journal. 5(4). 197–201. 15 indexed citations
12.
Onoda, Naoyoshi, Kiminori Sugino, Takuya Higashiyama, et al.. (2016). The Safety and Efficacy of Weekly Paclitaxel Administration for Anaplastic Thyroid Cancer Patients: A Nationwide Prospective Study. Thyroid. 26(9). 1293–1299. 41 indexed citations
13.
Orita, Yorihisa, Iwao Sugitani, Soshi Takao, et al.. (2015). Prospective Evaluation of Zoledronic Acid in the Treatment of Bone Metastases from Differentiated Thyroid Carcinoma. Annals of Surgical Oncology. 22(12). 4008–4013. 22 indexed citations
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Togashi, Takafumi, Iwao Sugitani, Kazuhisa Toda, Kazuyoshi Kawabata, & Sugata Takahashi. (2014). Surgical Management of Retropharyngeal Nodes Metastases from Papillary Thyroid Carcinoma. World Journal of Surgery. 38(11). 2831–2837. 15 indexed citations
16.
Saito, Yuki, Iwao Sugitani, Kazuhisa Toda, Keiko Yamada, & Yoshihide Fujimoto. (2013). Metastatic thyroid tumors: ultrasonographic features, prognostic factors and outcomes in 29 cases. Surgery Today. 44(1). 55–61. 21 indexed citations
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Hotomi, Muneki, Iwao Sugitani, Kazuhisa Toda, Kazuyoshi Kawabata, & Yoshihide Fujimoto. (2012). A Novel Definition of Extrathyroidal Invasion for Patients with Papillary Thyroid Carcinoma for Predicting Prognosis. World Journal of Surgery. 36(6). 1231–1240. 58 indexed citations
19.
Orita, Yorihisa, Iwao Sugitani, Kazuhisa Toda, Jun Manabe, & Yoshihide Fujimoto. (2010). Zoledronic Acid in the Treatment of Bone Metastases from Differentiated Thyroid Carcinoma. Thyroid. 21(1). 31–35. 58 indexed citations
20.
Sugitani, Iwao, Kazuhisa Toda, Keiko Yamada, et al.. (2010). Three Distinctly Different Kinds of Papillary Thyroid Microcarcinoma should be Recognized: Our Treatment Strategies and Outcomes. World Journal of Surgery. 34(6). 1222–1231. 382 indexed citations

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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