Takahiro Yano

7.1k citations
121 papers · 5.4k indexed · h-index 44

Takahiro Yano

115 papers receiving 5.3k citations

Peers

Takahiro Yano
Comparison fields: 5 of 139
  • Molecular Biology 3.0k
  • Oncology 947
  • Pathology and Forensic Medicine 884
  • Immunology 624
  • Infectious Diseases 537
Replace Christopher R. Chitambar with:
Christopher R. Chitambar United States
Rui Manuel Reis Brazil
Maria Caterina Turco Italy
Zhi‐Jun Sun China
Yong Wang China
Snezna Rogelj United States
Jiang Xia Hong Kong
Zhenfeng Duan United States
In‐San Kim South Korea
Baoan Chen China
Takahiro Yano relative to Christopher R. Chitambar United States Christopher R. Chitambar's profile →
Citations per field
00.5×
Christopher R. Chitambar · 1×
Citations per year

Countries citing papers authored by Takahiro Yano

Since Specialization
Citations

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

Fields of papers citing papers by Takahiro Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahiro Yano

This figure shows the co-authorship network connecting the top 25 collaborators of Takahiro Yano. A scholar is included among the top collaborators of Takahiro Yano 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 Yano. Takahiro Yano 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 2
2 4
3
Development of Millimeter wave Radar using Stepped Multiple Frequency Complementary Phase Code modulation(Technical Session,ICSANE 2011(International Conference on Space, Aeronautical and Navigational Electronics 2011))
0
4 73
5 34
6 7
7 4
8 40
9 87
10 42
11 62
12 62
13 193
14 0
15 58
16 123
17 48
18 38
19 2
20 64

About Takahiro Yano

Takahiro Yano is a scholar working on Pathology and Forensic Medicine, Genetics and Hematology, having authored 121 papers that have together received 5.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (26 papers), Photosynthetic Processes and Mechanisms (19 papers) and ATP Synthase and ATPases Research (17 papers). The work is most often cited by research in Pathology and Forensic Medicine (884 citations), Molecular Biology (3.0k citations) and Molecular Medicine (205 citations). Takahiro Yano has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Takao Yagi, Tomo̧ko Ohnishi, Mark Raffeld, Harvey Rubin, Vladimir D. Sled, Akemi Matsuno‐Yagi, Salvatore Di Bernardo, Elaine S. Jaffe, J. S. Teh and ES Jaffe. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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