Shigeru Abe

2.1k citations
100 papers · 1.8k indexed · h-index 24

Shigeru Abe

97 papers receiving 1.7k citations

Peers

Shigeru Abe
Comparison fields: 5 of 134
  • Automotive Engineering 267
  • Microbiology 101
  • Infectious Diseases 262
  • Epidemiology 387
  • Cell Biology 168
Replace Daniel J. Fitzgerald with:
Daniel J. Fitzgerald United States
Xudong Peng China
Xinxin Zhao China
Hongwei Cao China
Jang Ho Lee South Korea
Attila Magyar Hungary
Abul Azad United States
Eunjung Lee South Korea
Michael Schmid Germany
John C. March United States
Shigeru Abe relative to Daniel J. Fitzgerald United States Daniel J. Fitzgerald's profile →
Citations per field
00.5×4.8×
Daniel J. Fitzgerald · 1×
Citations per year

Countries citing papers authored by Shigeru Abe

Since Specialization
Citations

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

Fields of papers citing papers by Shigeru Abe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shigeru Abe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shigeru Abe Line = papers co-authored together Shigeru Abe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201738
2 201525
3 20142
4 20138
5 20135
6 201235
7 201216
8
Maximum Efficiency of Contactless Power Transfer Systems using k and Q
20111
9 201023
10 20101
11 20095
12 200814
13 200747
14 20070
15 20006
16 19945
17 19933
18 19874
19 19871
20
Correlation of differences in antigenicity of four 3-methyl-cholanthrene-induced tumors in syngeneic mice with the susceptibility of tumors to an immunopotentiator, PS-K.
197815

About Shigeru Abe

Shigeru Abe is a scholar working on Microbiology, Automotive Engineering, Cell Biology, Pharmacology and Complementary and alternative medicine, having authored 100 papers that have together received 1.8k indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (22 papers), Wireless Power Transfer Systems (22 papers), Nail Diseases and Treatments (14 papers), Advanced Battery Technologies Research (11 papers), Fungal Biology and Applications (9 papers), Antifungal resistance and susceptibility (9 papers), Plant Pathogens and Fungal Diseases (9 papers) and Antimicrobial Peptides and Activities (8 papers). The work is most often cited by research in Automotive Engineering (267 citations), Microbiology (101 citations), Infectious Diseases (262 citations), Epidemiology (387 citations) and Cell Biology (168 citations). Shigeru Abe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yasuyoshi Kaneko, Hideyo Yamaguchi, Tomio Yasuda, Shigeru Tansho, Koichi Makimura, Tsuyoshi Yamada, Masatoshi Yamazaki, Takafumi Okutomi, Hiroyuki Wakabayashi and Den’ichi Mizuno. Their work appears in journals such as IEEJ Transactions on Industry Applications, The Journal of Antibiotics, Medical Mycology, Biological Cybernetics and Immunopharmacology and Immunotoxicology.

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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