Akito Dobashi

17 papers and 362 indexed citations i.

About

Akito Dobashi is a scholar working on Pathology and Forensic Medicine, Oncology and Surgery. According to data from OpenAlex, Akito Dobashi has authored 17 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 6 papers in Oncology and 5 papers in Surgery. Recurrent topics in Akito Dobashi’s work include Lymphoma Diagnosis and Treatment (7 papers), Lung Cancer Treatments and Mutations (4 papers) and Ubiquitin and proteasome pathways (3 papers). Akito Dobashi is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Lung Cancer Treatments and Mutations (4 papers) and Ubiquitin and proteasome pathways (3 papers). Akito Dobashi collaborates with scholars based in Japan, United States and Ukraine. Akito Dobashi's co-authors include Kengo Takeuchi, Seiji Sakata, Naoko Tsuyama, Kana Sakamoto, Satoko Baba, Yuki Togashi, Reimi Asaka, Kiyohiko Hatake, Kyoko Ueda and Kazuyoshi Kawabata and has published in prestigious journals such as Cancer Research, The American Journal of Surgical Pathology and Carcinogenesis.

In The Last Decade

Co-authorship network of co-authors of Akito Dobashi i

Fields of papers citing papers by Akito Dobashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akito Dobashi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025