Daichi Narushima

53 total papers · 693 total citations
6 papers, 103 citations indexed

About

Daichi Narushima is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Daichi Narushima has authored 6 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Daichi Narushima's work include Cancer Genomics and Diagnostics (3 papers), Cancer Cells and Metastasis (2 papers) and Biomedical Text Mining and Ontologies (1 paper). Daichi Narushima is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Cancer Cells and Metastasis (2 papers) and Biomedical Text Mining and Ontologies (1 paper). Daichi Narushima collaborates with scholars based in Japan, United Kingdom and United States. Daichi Narushima's co-authors include Mamoru Kato, Koji Okamoto, Daisuke Shiokawa, Toshiaki Miyazaki, Masahito Hosokawa, Hitoshi Nakagama, Hiroaki Sakai, Hirokazu Ohata, Yutaka Suzuki and Shigeki Sekine and has published in prestigious journals such as Nature Communications, Cancer Research and BMC Biology.

In The Last Decade

Daichi Narushima

5 papers receiving 102 citations

Author Peers

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

Author Last Decade Papers Cites
Daichi Narushima 56 49 44 19 9 6 103
Maria C. Lecca 32 0.6× 47 1.0× 33 0.8× 18 0.9× 4 0.4× 7 91
Jacob Househam 56 1.0× 44 0.9× 47 1.1× 15 0.8× 9 1.0× 8 112
Alexandra Wuest 70 1.3× 38 0.8× 26 0.6× 22 1.2× 6 0.7× 6 107
Timothy Hagan 52 0.9× 26 0.5× 20 0.5× 15 0.8× 14 1.6× 5 94
Vera M. Todd 38 0.7× 49 1.0× 31 0.7× 8 0.4× 7 0.8× 4 88
Tiziano Bernasocchi 76 1.4× 39 0.8× 43 1.0× 12 0.6× 6 0.7× 6 124
Pierre Foidart 53 0.9× 56 1.1× 35 0.8× 6 0.3× 6 0.7× 7 120
Valentina A. Zavala 43 0.8× 54 1.1× 50 1.1× 22 1.2× 11 1.2× 8 117
Brandon M. Oswald 55 1.0× 32 0.7× 43 1.0× 8 0.4× 3 0.3× 8 119
P. Hill 43 0.8× 46 0.9× 43 1.0× 7 0.4× 9 1.0× 7 103

Countries citing papers authored by Daichi Narushima

Since Specialization
Citations

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

Fields of papers citing papers by Daichi Narushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daichi Narushima

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