Yumi Kanegae

6.8k citations
94 papers · 5.9k indexed · 2 hit papers · h-index 36
Topics
Virus-based gene therapy research (48 papers)Viral Infectious Diseases and Gene Expression in Insects (22 papers)RNA Interference and Gene Delivery (20 papers)
Partner nations
JapanPolandUnited States

In The Last Decade

Yumi Kanegae

93 papers receiving 5.8k citations

Hit Papers

Efficient generation of recombinant adenoviruses using ad...199520262005201519961995250500750

Peers

Yumi Kanegae
Comparison fields: 5 of 112
  • Molecular Biology 3.6k
  • Genetics 1.9k
  • Oncology 1.2k
  • Epidemiology 1.0k
  • Immunology 768
Replace Ken‐ichi Yamamura with:
Ken‐ichi Yamamura Japan
Pamela J. Mitchell United States
Choy‐Pik Chiu United States
Nobuo Sasaki Japan
Jane Lebkowski United States
Udo Baron Germany
Miranda Cozijnsen Netherlands
Timothy F. Lane United States
Linda Rangell United States
Serge Lichtsteiner United States
Yumi Kanegae relative to Ken‐ichi Yamamura Japan Ken‐ichi Yamamura's profile →
Citations per field
00.5×
Ken‐ichi Yamamura · 1×
Citations per year

Countries citing papers authored by Yumi Kanegae

Since Specialization
Citations

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

Fields of papers citing papers by Yumi Kanegae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yumi Kanegae

This figure shows the co-authorship network connecting the top 25 collaborators of Yumi Kanegae. A scholar is included among the top collaborators of Yumi Kanegae 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 Yumi Kanegae. Yumi Kanegae 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 11
2 13
3 2
4 34
5 12
6 26
7 25
8 49
9 114
10 32
11 39
12 48
13 89
14 180
15 99
16 68
17 40
18 10
19
Efficient gene activation in mammalian cells by using recombinant adenovirus expressing site-specific Cre recombinasebreakdown →
576
20 36

About Yumi Kanegae

Yumi Kanegae is a scholar working on Genetics, Hepatology and Molecular Biology, having authored 94 papers that have together received 5.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (48 papers), Viral Infectious Diseases and Gene Expression in Insects (22 papers) and RNA Interference and Gene Delivery (20 papers). The work is most often cited by research in Genetics (1.9k citations), Molecular Biology (3.6k citations) and Oncology (1.2k citations). Yumi Kanegae has collaborated with scholars based in Japan, Poland and United States. Frequent co-authors include Izumu Saito, Yumi Sato, Gwang Lee, Shizuko Harada, Kenji Takamori, Shinji Miyake, Yuichi Sato, Inder M. Verma, Toshiyuki Sakaki and Sumio Sugano. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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