Akiko Yashima‐Abo

34 total papers · 530 total citations
18 papers, 418 citations indexed

About

Akiko Yashima‐Abo is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Akiko Yashima‐Abo has authored 18 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Akiko Yashima‐Abo's work include Lymphoma Diagnosis and Treatment (6 papers), Cancer Genomics and Diagnostics (4 papers) and Viral-associated cancers and disorders (2 papers). Akiko Yashima‐Abo is often cited by papers focused on Lymphoma Diagnosis and Treatment (6 papers), Cancer Genomics and Diagnostics (4 papers) and Viral-associated cancers and disorders (2 papers). Akiko Yashima‐Abo collaborates with scholars based in Japan, United States and South Korea. Akiko Yashima‐Abo's co-authors include Chihaya Maesawa, Tomoyuki Masuda, Masahiko Shibazaki, Takeshi Iwaya, Satoshi Ogasawara, Hideaki Komatsu, Go Wakabayashi, Kuniyuki Kato, Hiroki Oikawa and Toru Sugiyama and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Journal of Clinical Pathology.

In The Last Decade

Akiko Yashima‐Abo

16 papers receiving 410 citations

Author Peers

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

Author Last Decade Papers Cites
Akiko Yashima‐Abo 297 254 63 44 43 18 418
Yuko Hino 290 1.0× 164 0.6× 34 0.5× 65 1.5× 25 0.6× 17 400
Zexuan Liu 195 0.7× 145 0.6× 24 0.4× 69 1.6× 37 0.9× 25 375
Carl Hilliker 222 0.7× 65 0.3× 40 0.6× 62 1.4× 65 1.5× 23 416
PJ van Diest 234 0.8× 225 0.9× 40 0.6× 83 1.9× 35 0.8× 13 447
Kathleen Dass 156 0.5× 179 0.7× 29 0.5× 136 3.1× 62 1.4× 17 458
Michael WY Chan 282 0.9× 81 0.3× 23 0.4× 57 1.3× 57 1.3× 13 388
Helga Simon‐Molas 250 0.8× 198 0.8× 16 0.3× 86 2.0× 34 0.8× 18 384
Chanatip Metheetrairut 322 1.1× 249 1.0× 28 0.4× 37 0.8× 44 1.0× 21 453
Mercia Medeiros Pacheco 158 0.5× 162 0.6× 69 1.1× 176 4.0× 24 0.6× 15 421
Fangmiao Jing 285 1.0× 242 1.0× 21 0.3× 40 0.9× 17 0.4× 13 445

Countries citing papers authored by Akiko Yashima‐Abo

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Yashima‐Abo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akiko Yashima‐Abo. 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 Akiko Yashima‐Abo. The network helps show where Akiko Yashima‐Abo may publish in the future.

Co-authorship network of co-authors of Akiko Yashima‐Abo

This figure shows the co-authorship network connecting the top 25 collaborators of Akiko Yashima‐Abo. A scholar is included among the top collaborators of Akiko Yashima‐Abo 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 Akiko Yashima‐Abo. Akiko Yashima‐Abo 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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2026