Takumi Kudo

120 papers and 2.6k indexed citations i.

About

Takumi Kudo is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Takumi Kudo has authored 120 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Endocrinology, Diabetes and Metabolism, 49 papers in Surgery and 16 papers in Molecular Biology. Recurrent topics in Takumi Kudo’s work include Thyroid Cancer Diagnosis and Treatment (78 papers), Thyroid Disorders and Treatments (44 papers) and Thyroid and Parathyroid Surgery (38 papers). Takumi Kudo is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (78 papers), Thyroid Disorders and Treatments (44 papers) and Thyroid and Parathyroid Surgery (38 papers). Takumi Kudo collaborates with scholars based in Japan, United States and China. Takumi Kudo's co-authors include Akira Miyauchi, Yasuhiro Ito, Akihiro Miya, Nobuyuki Amino, Kaoru Kobayashi, Minoru Kihara, Eijun Nishihara, Ito M, Sumihisa Kubota and Shuji Fukata and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Takumi Kudo i

Fields of papers citing papers by Takumi Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Takumi Kudo

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025