Makoto Kudo

60 papers and 1.1k indexed citations i.

About

Makoto Kudo is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Oncology. According to data from OpenAlex, Makoto Kudo has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 19 papers in Epidemiology and 18 papers in Oncology. Recurrent topics in Makoto Kudo’s work include Tuberculosis Research and Epidemiology (9 papers), Lung Cancer Treatments and Mutations (8 papers) and Lung Cancer Research Studies (8 papers). Makoto Kudo is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Lung Cancer Treatments and Mutations (8 papers) and Lung Cancer Research Studies (8 papers). Makoto Kudo collaborates with scholars based in Japan, United States and China. Makoto Kudo's co-authors include Dean Sheppard, Takeshi Kaneko, Xiaozhu Huang, Kamran Atabai, Katherine Huang, Mary B. Engler, John T. Li, Yanli Wang, Chun Chen and Andrew C. Melton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

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

Fields of papers citing papers by Makoto Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Makoto Kudo

Since Specialization
Citations

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