Tetsuo Noda

339 total papers · 33.1k total citations
260 papers, 24.2k citations indexed

About

Tetsuo Noda is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Tetsuo Noda has authored 260 papers receiving a total of 24.2k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Molecular Biology, 43 papers in Oncology and 36 papers in Surgery. Recurrent topics in Tetsuo Noda's work include Pancreatic function and diabetes (19 papers), Cancer Genomics and Diagnostics (16 papers) and Genetic factors in colorectal cancer (14 papers). Tetsuo Noda is often cited by papers focused on Pancreatic function and diabetes (19 papers), Cancer Genomics and Diagnostics (16 papers) and Genetic factors in colorectal cancer (14 papers). Tetsuo Noda collaborates with scholars based in Japan, United States and India. Tetsuo Noda's co-authors include Osamu Minowa, Junko Kuno, Shöichiro Tsukita, Hiroshi Takano, Mikio Furuse, Yoshinobu Sugitani, Kohei Miyazono, Masaki Hata, Sachie Hiratsuka and Mitinori Saitou and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Tetsuo Noda

257 papers receiving 23.9k citations

Hit Papers

Claudin-based tight junct... 1995 2026 2005 2015 2002 2001 2000 1995 1998 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Tetsuo Noda 15.6k 2.9k 2.7k 2.7k 2.7k 260 24.2k
Urban Lendahl 15.4k 1.0× 2.9k 1.0× 2.4k 0.9× 2.0k 0.7× 1.6k 0.6× 215 24.8k
Nobuyoshi Shimizu 12.5k 0.8× 3.8k 1.3× 2.2k 0.8× 1.4k 0.5× 2.2k 0.8× 541 27.5k
Dudley K. Strickland 8.7k 0.6× 2.4k 0.8× 3.5k 1.3× 1.6k 0.6× 2.4k 0.9× 257 21.2k
Frank Baas 9.4k 0.6× 5.4k 1.9× 2.0k 0.7× 2.1k 0.8× 1.8k 0.7× 361 21.7k
Calvin J. Kuo 10.8k 0.7× 5.1k 1.8× 1.8k 0.7× 982 0.4× 2.7k 1.0× 139 20.8k
Jacopo Meldolesi 15.6k 1.0× 1.3k 0.5× 4.8k 1.8× 2.1k 0.8× 1.9k 0.7× 324 23.9k
Anne Brunet 26.5k 1.7× 4.1k 1.4× 3.0k 1.1× 1.3k 0.5× 2.9k 1.1× 143 38.5k
Bengt Westermark 16.4k 1.1× 5.4k 1.9× 4.0k 1.5× 804 0.3× 3.5k 1.3× 340 29.0k
Jerold Chun 23.9k 1.5× 1.5k 0.5× 6.7k 2.5× 2.0k 0.8× 3.9k 1.5× 333 31.5k
Mahendra S. Rao 18.1k 1.2× 2.2k 0.8× 1.3k 0.5× 1.5k 0.6× 965 0.4× 399 27.1k

Countries citing papers authored by Tetsuo Noda

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Noda

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