Takahiro Ono

2.2k citations
48 papers · 1.3k indexed · h-index 14
Topics
Glioma Diagnosis and Treatment (16 papers)Meningioma and schwannoma management (6 papers)Cancer, Hypoxia, and Metabolism (4 papers)

In The Last Decade

Takahiro Ono

42 papers receiving 1.2k citations

Peers

Takahiro Ono
Comparison fields: 5 of 106
  • Endocrinology 575
  • Immunology 402
  • Genetics 278
  • Molecular Biology 272
  • Food Science 158
Replace Haipeng Zhang with:
Haipeng Zhang China
David C. Fritzinger United States
Yanqi Li China
Lisa M. Maurer United States
Susumu Shiota Japan
Kęstutis Sužiedėlis Lithuania
Berend Tolner United Kingdom
Preethi Udagama Sri Lanka
Christophe Barthe France
Tongwu Zhang United States
Takahiro Ono relative to Haipeng Zhang China Haipeng Zhang's profile →
Citations per field
00.5×10×14.0×
Haipeng Zhang · 1×
Citations per year

Countries citing papers authored by Takahiro Ono

Since Specialization
Citations

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

Fields of papers citing papers by Takahiro Ono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahiro Ono

This figure shows the co-authorship network connecting the top 25 collaborators of Takahiro Ono. A scholar is included among the top collaborators of Takahiro Ono 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 Takahiro Ono. Takahiro Ono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 6
3 0
4 2
5 2
6 2
7 1
8 6
9 1
10 5
11 207
12 2
13 14
14 28
15 12
16 2
17 2
18
[A case of minocycline-induced eosinophilic pneumonia presenting with multiple white eosinophilic plaques in the tracheobronchial mucosa].
4
19 3
20
[Analysis of cases with liver abscess following transcatheter arterial chemoembolization (TAE) for malignant hepatic tumors].
3

About Takahiro Ono

Takahiro Ono is a scholar working on Genetics, Anatomy and Cancer Research, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), Meningioma and schwannoma management (6 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Endocrinology (575 citations), Genetics (278 citations) and Immunology (402 citations). Takahiro Ono has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Takeshi Honda, Tetsuya Iida, Kwon-Sam Park, Mitsuhiro Rokuda, Myoung Ho Jang, Kazuhisa Okada, Mayumi Ueta, Mitsuaki Shirahata, Andreas von Deimling and Kazuhiro Mori. Their work appears in journals such as Nature Communications, Infection and Immunity and Frontiers in Immunology.

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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