Eiji Kudo

74 total papers · 2.2k total citations
59 papers, 1.6k citations indexed

About

Eiji Kudo is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Eiji Kudo has authored 59 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Molecular Biology. Recurrent topics in Eiji Kudo's work include Sarcoma Diagnosis and Treatment (10 papers), Cell Adhesion Molecules Research (6 papers) and Pituitary Gland Disorders and Treatments (5 papers). Eiji Kudo is often cited by papers focused on Sarcoma Diagnosis and Treatment (10 papers), Cell Adhesion Molecules Research (6 papers) and Pituitary Gland Disorders and Treatments (5 papers). Eiji Kudo collaborates with scholars based in Japan, Canada and United States. Eiji Kudo's co-authors include Toshiaki Sano, Zhi Rong Qian, Katsuhiko Yoshimoto, Kazuo Hizawa, Takanori Hirose, Shozo Yamada, Tadashi Hasegawa, Mitsuo Itakura, Md. Mustafizur Rahman and Masahiko Nakasono and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Kidney International.

In The Last Decade

Eiji Kudo

57 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Eiji Kudo 444 348 345 340 268 59 1.6k
Ingrid Laurendeau 468 1.1× 248 0.7× 402 1.2× 338 1.0× 146 0.5× 34 1.7k
Martha Quezado 340 0.8× 113 0.3× 404 1.2× 298 0.9× 225 0.8× 60 1.7k
Hans-Jürgen Holzhausen 561 1.3× 461 1.3× 450 1.3× 532 1.6× 114 0.4× 72 2.0k
T Sano 225 0.5× 279 0.8× 377 1.1× 370 1.1× 107 0.4× 39 1.3k
Luigi Chiusa 593 1.3× 196 0.6× 427 1.2× 330 1.0× 285 1.1× 76 2.3k
Kousuke Marutsuka 483 1.1× 162 0.5× 514 1.5× 490 1.4× 310 1.2× 106 2.3k
Francisco J. Martínez‐Tello 539 1.2× 353 1.0× 280 0.8× 360 1.1× 155 0.6× 42 1.6k
Javier Menárguez 442 1.0× 134 0.4× 251 0.7× 190 0.6× 338 1.3× 68 2.2k
Bing Xu 319 0.7× 256 0.7× 326 0.9× 112 0.3× 93 0.3× 76 1.3k
Stefania Damiani 524 1.2× 120 0.3× 391 1.1× 498 1.5× 95 0.4× 62 2.0k

Countries citing papers authored by Eiji Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Kudo

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