Akihiro Kume

5.2k total citations
135 papers, 4.1k citations indexed

About

Akihiro Kume is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Akihiro Kume has authored 135 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 75 papers in Genetics and 30 papers in Oncology. Recurrent topics in Akihiro Kume's work include Virus-based gene therapy research (73 papers), RNA Interference and Gene Delivery (35 papers) and CAR-T cell therapy research (24 papers). Akihiro Kume is often cited by papers focused on Virus-based gene therapy research (73 papers), RNA Interference and Gene Delivery (35 papers) and CAR-T cell therapy research (24 papers). Akihiro Kume collaborates with scholars based in Japan, United States and China. Akihiro Kume's co-authors include Hiroaki Mizukami, Keiya Ozawa, Masashi Urabe, Takashi Okada, Shin‐ichi Tominaga, Morisada Hayakawa, Hiroko Hayakawa, Shin‐ichi Muramatsu, Yutaka Hanazono and Imaharu Nakano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Akihiro Kume

134 papers receiving 4.1k citations

Peers

Akihiro Kume
Comparison fields: 5 of 112
  • Molecular Biology 2.2k
  • Genetics 1.5k
  • Immunology 844
  • Oncology 618
  • Cellular and Molecular Neuroscience 527
Replace Michael A. Patton with:
Michael A. Patton United Kingdom
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Rafael Espinosa United States
Carol A. Wise United States
Yutaka Hanazono Japan
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Keiko Funa Sweden
Corrinne G. Lobe Canada
Craig L. Bennett United States
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Michael A. Patton United Kingdom View profile →
Citations per field, relative to Akihiro Kume
Akihiro Kume · 1×
Citations per year, relative to Akihiro Kume
Akihiro Kume · 1×

Countries citing papers authored by Akihiro Kume

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Kume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Kume

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Kume. A scholar is included among the top collaborators of Akihiro Kume 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 Akihiro Kume. Akihiro Kume 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
# Work Indexed citations
1 10
2 72
3 3
4 61
5 34
6
Patch test results in 346 patients of suspected cosmetic dermatitis (1993-1996)
3
7
Two cases of allergic contact dermatitis from nail cosmetics
1
8 1
9
Allergic contact dermatitis due to topical medicaments (1993-1996)
1
10
A case of type I allergy due to cochineal extract
2
11 8
12 5
13 11
14 1
15 1
16 1
17 1
18 2
19 1
20
A case of fixed drug eruption from ofloxacin
2

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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