Hiroaki Wakimoto

20.1k citations
185 papers · 9.4k indexed · 2 hit papers · h-index 56
Topics
Virus-based gene therapy research (65 papers)Glioma Diagnosis and Treatment (48 papers)CAR-T cell therapy research (41 papers)
Partner nations
United StatesJapanChina

In The Last Decade

Hiroaki Wakimoto

177 papers receiving 9.3k citations

Hit Papers

CAR-T cells secreting BiTEs circumvent antigen escape w...201520262018202220192015100200300400

Peers

Hiroaki Wakimoto
Comparison fields: 5 of 113
  • Molecular Biology 4.8k
  • Oncology 3.8k
  • Genetics 2.9k
  • Genetics 2.3k
  • Cancer Research 1.5k
Replace Balveen Kaur with:
Balveen Kaur United States
Juàn Fueyo United States
Candelaria Gomez‐Manzano United States
Yasushi Ino Japan
C. Ryan Miller United States
Janice Nigro United States
Dominique Bonnet United Kingdom
Jane Bayani Canada
Sandra H. Bigner United States
Brenda L. Gallie Canada
Hiroaki Wakimoto relative to Balveen Kaur United States Balveen Kaur's profile →
Citations per field
00.5×1.5×1.9×
Balveen Kaur · 1×
Citations per year

Countries citing papers authored by Hiroaki Wakimoto

Since Specialization
Citations

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

Fields of papers citing papers by Hiroaki Wakimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroaki Wakimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroaki Wakimoto. A scholar is included among the top collaborators of Hiroaki Wakimoto 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 Hiroaki Wakimoto. Hiroaki Wakimoto 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 88
3 61
4 46
5 59
6 28
7 31
8 73
9 100
10 119
11
Alternative lengthening of telomeres renders cancer cells hypersensitive to ATR inhibitorsbreakdown →
376
12 130
13 200
14 186
15 70
16 69
17 68
18 26
19 88
20 279

About Hiroaki Wakimoto

Hiroaki Wakimoto is a scholar working on Genetics, Oncology and Genetics, having authored 185 papers that have together received 9.4k indexed citations. Recurring topics across this work include Virus-based gene therapy research (65 papers), Glioma Diagnosis and Treatment (48 papers) and CAR-T cell therapy research (41 papers). The work is most often cited by research in Genetics (2.3k citations), Oncology (3.8k citations) and Genetics (2.9k citations). Hiroaki Wakimoto has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Samuel D. Rabkin, Robert L. Martuza, Khalid Shah, Daniel P. Cahill, William T. Curry, Masaru Aoyagi, David N. Louis, E. Antonio Chiocca, Ryuichi Kanai and Jianfang Ning. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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