Gen Kawa

62 papers and 515 indexed citations i.

About

Gen Kawa is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Gen Kawa has authored 62 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Surgery, 23 papers in Pulmonary and Respiratory Medicine and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Gen Kawa’s work include Bladder and Urothelial Cancer Treatments (14 papers), Renal cell carcinoma treatment (12 papers) and Urinary and Genital Oncology Studies (9 papers). Gen Kawa is often cited by papers focused on Bladder and Urothelial Cancer Treatments (14 papers), Renal cell carcinoma treatment (12 papers) and Urinary and Genital Oncology Studies (9 papers). Gen Kawa collaborates with scholars based in Japan. Gen Kawa's co-authors include Tadashi Matsuda, Hidefumi Kinoshita, Masaaki Yanishi, Takaaki Inoue, Takashi Yoshida, Yoshihiro Komai, Hisanori Taniguchi, Kenji Yoshida, Takashi Murota and Takeshi Usui and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of the American Society of Nephrology and The Journal of Urology.

In The Last Decade

Co-authorship network of co-authors of Gen Kawa i

Fields of papers citing papers by Gen Kawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gen Kawa

Since Specialization
Citations

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