Yukie Kashima

59 total papers · 1.7k total citations
26 papers, 464 citations indexed

About

Yukie Kashima is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Yukie Kashima has authored 26 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Oncology. Recurrent topics in Yukie Kashima's work include Single-cell and spatial transcriptomics (9 papers), Cancer Genomics and Diagnostics (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Yukie Kashima is often cited by papers focused on Single-cell and spatial transcriptomics (9 papers), Cancer Genomics and Diagnostics (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Yukie Kashima collaborates with scholars based in Japan, United States and France. Yukie Kashima's co-authors include Yutaka Suzuki, Ayako Suzuki, Masahide Seki, Yoshitaka Sakamoto, Akihiro Ohashi, Susumu Kobayashi, Masanori Fujii, Hiroshi Haeno, Tomoko Morita and Toru Mukohara and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Genes & Development.

In The Last Decade

Yukie Kashima

23 papers receiving 460 citations

Author Peers

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

Author Last Decade Papers Cites
Yukie Kashima 331 117 115 84 57 26 464
Vigdis Nygaard 343 1.0× 98 0.8× 101 0.9× 70 0.8× 40 0.7× 19 506
Ramyar Molania 281 0.8× 82 0.7× 123 1.1× 58 0.7× 38 0.7× 16 454
Maoyun Sun 371 1.1× 90 0.8× 73 0.6× 127 1.5× 72 1.3× 21 543
Atsushi Kaida 279 0.8× 132 1.1× 102 0.9× 124 1.5× 52 0.9× 33 519
Véronique Leblanc 275 0.8× 67 0.6× 82 0.7× 45 0.5× 32 0.6× 15 413
Mansi Arora 403 1.2× 187 1.6× 95 0.8× 36 0.4× 66 1.2× 19 540
Caterina Riillo 363 1.1× 125 1.1× 204 1.8× 60 0.7× 53 0.9× 25 524
Alena Bačı́ková 330 1.0× 107 0.9× 58 0.5× 65 0.8× 100 1.8× 20 518
Chelsea McLean 342 1.0× 139 1.2× 101 0.9× 58 0.7× 30 0.5× 21 543
Qingwen Huang 240 0.7× 48 0.4× 119 1.0× 49 0.6× 37 0.6× 35 443

Countries citing papers authored by Yukie Kashima

Since Specialization
Citations

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

Fields of papers citing papers by Yukie Kashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukie Kashima

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