Nanae Aritaka
- Infectious Diseases top 2%
- Clinical Biochemistry top 0.5%
- Molecular Biology
- Molecular Medicine top 5%
- Epidemiology
- Co-authors
- Keiichi HiramatsuHideaki HanakiSatoshi HoriYoshinosuke FukuchiShiori KawasakiYasuyuki HosodaIntetsu KobayashiYasushi Isobe
- Topics
- Lymphoma Diagnosis and Treatment (5 papers)Chronic Lymphocytic Leukemia Research (3 papers)Antimicrobial Resistance in Staphylococcus (3 papers)
- Partner nations
- Japan
In The Last Decade
Nanae Aritaka
14 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Infectious Diseases 919
- Clinical Biochemistry 535
- Molecular Biology 520
- Molecular Medicine 163
- Epidemiology 158
Countries citing papers authored by Nanae Aritaka
This map shows the geographic impact of Nanae Aritaka'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 Nanae Aritaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanae Aritaka more than expected).
Fields of papers citing papers by Nanae Aritaka
This network shows the impact of papers produced by Nanae Aritaka. 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 Nanae Aritaka. The network helps show where Nanae Aritaka may publish in the future.
Co-authorship network of co-authors of Nanae Aritaka
This figure shows the co-authorship network connecting the top 25 collaborators of Nanae Aritaka. A scholar is included among the top collaborators of Nanae Aritaka 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 Nanae Aritaka. Nanae Aritaka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 12 | |
| 3 | Utility of immunohistochemistry with an antibody against MYC at the initial diagnosis of follicular lymphoma, grade 3A, for predicting a more aggressive clinical course: a case report and review of the literature. | 1 |
| 4 | 4 | |
| 5 | 31 | |
| 6 | 39 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 29 | |
| 13 | 29 | |
| 14 | Dissemination in Japanese hospitals of strains of Staphylococcus aureus heterogeneously resistant to vancomycinbreakdown → | 1040 |
About Nanae Aritaka
Nanae Aritaka is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Clinical Biochemistry (535 citations), Infectious Diseases (919 citations) and Molecular Medicine (163 citations). Nanae Aritaka has collaborated with scholars based in Japan. Frequent co-authors include Keiichi Hiramatsu, Hideaki Hanaki, Satoshi Hori, Yoshinosuke Fukuchi, Shiori Kawasaki, Yasuyuki Hosoda, Intetsu Kobayashi, Yasushi Isobe, Longzhu Cui and Norio Komatsu. Their work appears in journals such as The Lancet, Antimicrobial Agents and Chemotherapy and Journal of Clinical Pathology.
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.