Kenichiro Kodama

46 total papers · 697 total citations
13 papers, 192 citations indexed

About

Kenichiro Kodama is a scholar working on Hepatology, Oncology and Epidemiology. According to data from OpenAlex, Kenichiro Kodama has authored 13 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hepatology, 4 papers in Oncology and 4 papers in Epidemiology. Recurrent topics in Kenichiro Kodama's work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Liver Disease Diagnosis and Treatment (4 papers) and Cancer Genomics and Diagnostics (2 papers). Kenichiro Kodama is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Liver Disease Diagnosis and Treatment (4 papers) and Cancer Genomics and Diagnostics (2 papers). Kenichiro Kodama collaborates with scholars based in Japan. Kenichiro Kodama's co-authors include Michio Imamura, Shinsuke Uchikawa, Hiroshi Aikata, Tomokazu Kawaoka, Eisuke Murakami, Takashi Nakahara, Kazuaki Chayama, Masataka Tsuge, Kei Morio and Akira Hiramatsu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Cancer.

In The Last Decade

Kenichiro Kodama

13 papers receiving 190 citations

Author Peers

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

Author Last Decade Papers Cites
Kenichiro Kodama 134 60 54 47 45 13 192
Songqiang Zhou 171 1.3× 105 1.8× 68 1.3× 48 1.0× 55 1.2× 15 287
Jiali Chen 86 0.6× 59 1.0× 49 0.9× 24 0.5× 22 0.5× 10 197
Tim A. Labeur 123 0.9× 81 1.4× 68 1.3× 28 0.6× 25 0.6× 17 241
Guohong Han 218 1.6× 42 0.7× 81 1.5× 51 1.1× 74 1.6× 17 271
Francesca Capelli 71 0.5× 38 0.6× 96 1.8× 22 0.5× 66 1.5× 13 226
Catherine Leyh 68 0.5× 78 1.3× 40 0.7× 55 1.2× 16 0.4× 17 221
Kazuki Maesaka 134 1.0× 82 1.4× 40 0.7× 41 0.9× 45 1.0× 12 201
Anita Pathil‐Warth 57 0.4× 33 0.6× 144 2.7× 20 0.4× 27 0.6× 14 235
Cheng‐Qian Zhong 135 1.0× 47 0.8× 70 1.3× 73 1.6× 29 0.6× 20 270
David W.G. ten Cate 49 0.4× 62 1.0× 32 0.6× 15 0.3× 9 0.2× 16 153

Countries citing papers authored by Kenichiro Kodama

Since Specialization
Citations

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

Fields of papers citing papers by Kenichiro Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenichiro Kodama

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