Tatsuo Suga

72 total papers · 5.9k total citations
51 papers, 4.7k citations indexed

About

Tatsuo Suga is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Tatsuo Suga has authored 51 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Pulmonary and Respiratory Medicine, 16 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Tatsuo Suga's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Medical Imaging and Pathology Studies (6 papers) and Neonatal Respiratory Health Research (5 papers). Tatsuo Suga is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers), Medical Imaging and Pathology Studies (6 papers) and Neonatal Respiratory Health Research (5 papers). Tatsuo Suga collaborates with scholars based in Japan, United States and Ireland. Tatsuo Suga's co-authors include Masahiko Kurabayashi, Makoto Kuro‐o, Yoshio Ohyama, Yutaka Matsumura, Hiroki Aizawa, Ryozo Nagai, Yo-ichi Nabeshima, Hiroshi Kawaguchi, Tadashi Kaname and Toshihiro Utsugi and has published in prestigious journals such as Nature, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Tatsuo Suga

47 papers receiving 4.6k citations

Hit Papers

Mutation of the mouse klo... 1997 2026 2006 2016 1997 500 1000 1.5k 2.0k 2.5k

Author Peers

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

Author Last Decade Papers Cites
Tatsuo Suga 2.4k 1.5k 1.4k 891 585 51 4.7k
Yutaka Matsumura 3.2k 1.3× 2.0k 1.3× 1.4k 1.0× 406 0.5× 575 1.0× 50 5.3k
Yoshio Ohyama 2.9k 1.2× 1.9k 1.2× 1.9k 1.4× 492 0.6× 660 1.1× 112 5.8k
Neal X. Chen 2.8k 1.2× 802 0.5× 1.2k 0.8× 675 0.8× 379 0.6× 74 4.8k
Hiroki Aizawa 3.3k 1.3× 2.1k 1.4× 1.4k 1.0× 408 0.5× 592 1.0× 31 5.0k
W. Charles O’Neill 2.2k 0.9× 1.3k 0.9× 1.7k 1.2× 1.2k 1.4× 529 0.9× 113 5.7k
Tadashi Kaname 2.0k 0.8× 1.5k 1.0× 1.8k 1.3× 295 0.3× 455 0.8× 40 4.4k
Susan C. Schiavi 3.5k 1.4× 1.8k 1.2× 1.7k 1.2× 667 0.7× 219 0.4× 41 5.1k
Michel Baum 2.2k 0.9× 1.2k 0.8× 2.2k 1.5× 962 1.1× 336 0.6× 135 5.2k
Ming Chang Hu 4.3k 1.8× 2.0k 1.3× 1.9k 1.4× 669 0.8× 519 0.9× 75 6.7k
Toshihiro Utsugi 2.1k 0.8× 1.9k 1.2× 1.2k 0.9× 268 0.3× 526 0.9× 45 4.6k

Countries citing papers authored by Tatsuo Suga

Since Specialization
Citations

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

Fields of papers citing papers by Tatsuo Suga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatsuo Suga

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