Tatsuya Kodama

16 papers and 230 indexed citations i.

About

Tatsuya Kodama is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Tatsuya Kodama has authored 16 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 7 papers in Epidemiology and 5 papers in Surgery. Recurrent topics in Tatsuya Kodama’s work include COVID-19 Clinical Research Studies (5 papers), Long-Term Effects of COVID-19 (4 papers) and Mycobacterium research and diagnosis (4 papers). Tatsuya Kodama is often cited by papers focused on COVID-19 Clinical Research Studies (5 papers), Long-Term Effects of COVID-19 (4 papers) and Mycobacterium research and diagnosis (4 papers). Tatsuya Kodama collaborates with scholars based in Japan. Tatsuya Kodama's co-authors include Hirofumi Obinata, Kaku Tamura, Shuichi Kawano, Manabu Kitagaki, Kazuyasu Miyoshi, Tsutomu Kodera, Mayu Ikeda, Sakiko Tabata, Yasuhide Uwabe and Kazuo Imai and has published in prestigious journals such as CHEST Journal, The Lancet Infectious Diseases and Advanced Science.

In The Last Decade

Co-authorship network of co-authors of Tatsuya Kodama i

Fields of papers citing papers by Tatsuya Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tatsuya Kodama

Since Specialization
Citations

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

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2025