Makoto Kudo

125 total papers · 2.1k total citations
61 papers, 1.2k citations indexed

About

Makoto Kudo is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Epidemiology. According to data from OpenAlex, Makoto Kudo has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 19 papers in Oncology and 19 papers in Epidemiology. Recurrent topics in Makoto Kudo's work include Lung Cancer Research Studies (9 papers), Tuberculosis Research and Epidemiology (9 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Makoto Kudo is often cited by papers focused on Lung Cancer Research Studies (9 papers), Tuberculosis Research and Epidemiology (9 papers) and Cancer Immunotherapy and Biomarkers (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, Andrew C. Melton, Xin Ren, John T. Li, Mary B. Engler and Chun Chen 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

Makoto Kudo

58 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Makoto Kudo 364 323 315 280 235 61 1.2k
Fernando Botelho 292 0.8× 524 1.6× 310 1.0× 296 1.1× 248 1.1× 34 1.3k
Katsuyuki Takeda 422 1.2× 637 2.0× 421 1.3× 281 1.0× 116 0.5× 56 1.5k
Morio Nakamura 238 0.7× 337 1.0× 778 2.5× 328 1.2× 173 0.7× 62 1.4k
Quan Sha 453 1.2× 666 2.1× 194 0.6× 319 1.1× 222 0.9× 30 1.5k
Susumu Yasuoka 186 0.5× 219 0.7× 303 1.0× 195 0.7× 113 0.5× 55 1.1k
Shintaro Suzuki 467 1.3× 428 1.3× 248 0.8× 148 0.5× 85 0.4× 80 1.2k
Yoshiki Shiraishi 447 1.2× 420 1.3× 522 1.7× 232 0.8× 72 0.3× 57 1.4k
W. Jones Williams 413 1.1× 181 0.6× 285 0.9× 180 0.6× 204 0.9× 55 1.2k
Christof J. Majoor 354 1.0× 141 0.4× 580 1.8× 227 0.8× 136 0.6× 50 1.3k
Gurpreet K. Singhera 275 0.8× 274 0.8× 395 1.3× 258 0.9× 62 0.3× 52 1.1k

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).

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.

Co-authorship network of co-authors of Makoto Kudo

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