Kunio Kondo

17 total papers · 621 total citations
16 papers, 520 citations indexed

About

Kunio Kondo is a scholar working on Epidemiology, Molecular Biology and Genetics. According to data from OpenAlex, Kunio Kondo has authored 16 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 5 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Kunio Kondo's work include Virology and Viral Diseases (12 papers), Respiratory viral infections research (11 papers) and Virus-based gene therapy research (5 papers). Kunio Kondo is often cited by papers focused on Virology and Viral Diseases (12 papers), Respiratory viral infections research (11 papers) and Virus-based gene therapy research (5 papers). Kunio Kondo collaborates with scholars based in Japan. Kunio Kondo's co-authors include Masato Tsurudome, Hisanori Bando, Machiko Nishio, Yasuhiko Ito, Mitsuo Kawano, Hiroshi Komada, Shinji Ohgimoto, Hitoshi Matsushime, Sachie Hiratsuka and H Takemura and has published in prestigious journals such as Nucleic Acids Research, Journal of Bacteriology and Gene.

In The Last Decade

Kunio Kondo

16 papers receiving 513 citations

Author Peers

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

Author Last Decade Papers Cites
Kunio Kondo 324 172 155 96 68 16 520
Jane McAllister 184 0.6× 201 1.2× 105 0.7× 58 0.6× 53 0.8× 25 596
M Ranki 143 0.4× 131 0.8× 153 1.0× 75 0.8× 44 0.6× 21 489
Kathleen Van Wyke Coelingh 512 1.6× 77 0.4× 272 1.8× 62 0.6× 34 0.5× 10 593
Pele Chong 236 0.7× 132 0.8× 69 0.4× 62 0.6× 48 0.7× 18 489
Louis E.-C. Leong 184 0.6× 331 1.9× 75 0.5× 77 0.8× 38 0.6× 10 533
Rachel R. Higgins 178 0.5× 258 1.5× 112 0.7× 128 1.3× 31 0.5× 23 577
Helen W. McL. Rixon 380 1.2× 145 0.8× 172 1.1× 69 0.7× 50 0.7× 11 521
Jeffery Stevenson 173 0.5× 203 1.2× 132 0.9× 37 0.4× 24 0.4× 15 499
J. E. Officer 186 0.6× 164 1.0× 88 0.6× 151 1.6× 37 0.5× 20 595
K. K. A. Goswami 366 1.1× 57 0.3× 120 0.8× 115 1.2× 22 0.3× 14 516

Countries citing papers authored by Kunio Kondo

Since Specialization
Citations

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

Fields of papers citing papers by Kunio Kondo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunio Kondo

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