Nana Arai

53 total papers · 464 total citations
32 papers, 350 citations indexed

About

Nana Arai is a scholar working on Hematology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Nana Arai has authored 32 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 9 papers in Oncology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Nana Arai's work include Lymphoma Diagnosis and Treatment (8 papers), Acute Myeloid Leukemia Research (7 papers) and Hematopoietic Stem Cell Transplantation (7 papers). Nana Arai is often cited by papers focused on Lymphoma Diagnosis and Treatment (8 papers), Acute Myeloid Leukemia Research (7 papers) and Hematopoietic Stem Cell Transplantation (7 papers). Nana Arai collaborates with scholars based in Japan and United States. Nana Arai's co-authors include JD Rowley, Rafael Espinosa, Richard A. Larson, R.S. Lemons, MM Le Beau, Tsuyoshi Nakamaki, Norimichi Hattori, Yuta Baba, Bungo Saito and Yohei Sasaki and has published in prestigious journals such as Blood, International Journal of Molecular Sciences and Emerging infectious diseases.

In The Last Decade

Nana Arai

30 papers receiving 345 citations

Author Peers

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

Author Last Decade Papers Cites
Nana Arai 133 125 111 61 39 32 350
Gislaine Borba Oliveira 122 0.9× 213 1.7× 64 0.6× 54 0.9× 36 0.9× 28 391
Kazuaki Yakushiji 47 0.4× 113 0.9× 80 0.7× 66 1.1× 33 0.8× 18 386
Baldeep Wirk 52 0.4× 138 1.1× 105 0.9× 96 1.6× 25 0.6× 32 347
Takahisa� Nakanishi 125 0.9× 125 1.0× 83 0.7× 55 0.9× 44 1.1× 38 379
Patrick Medd 194 1.5× 147 1.2× 79 0.7× 69 1.1× 31 0.8× 22 382
Paola Terranova 168 1.3× 131 1.0× 48 0.4× 56 0.9× 19 0.5× 37 348
A. Insunza 44 0.3× 162 1.3× 80 0.7× 82 1.3× 27 0.7× 24 365
Carole Leroy 67 0.5× 85 0.7× 62 0.6× 110 1.8× 29 0.7× 17 338
Kikue Iwamasa 202 1.5× 58 0.5× 75 0.7× 55 0.9× 23 0.6× 21 362
Stephan Fuhrmann 116 0.9× 133 1.1× 110 1.0× 114 1.9× 37 0.9× 18 395

Countries citing papers authored by Nana Arai

Since Specialization
Citations

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

Fields of papers citing papers by Nana Arai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nana Arai

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