Keiji Terao

7.2k citations
254 papers · 5.8k indexed · h-index 40
Topics
Immune Cell Function and Interaction (21 papers)T-cell and B-cell Immunology (21 papers)Biochemical Acid Research Studies (20 papers)
Partner nations
JapanUnited StatesIndia

In The Last Decade

Keiji Terao

249 papers receiving 5.6k citations

Peers

Keiji Terao
Comparison fields: 5 of 157
  • Molecular Biology 2.3k
  • Organic Chemistry 977
  • Immunology 682
  • Physiology 552
  • Genetics 531
Replace Wei‐Jen Tang with:
Wei‐Jen Tang United States
Soo Young Choi South Korea
Ildo Nicoletti Italy
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Patrice Codogno France
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Citations per field
00.5×1.5×2.3×
Wei‐Jen Tang · 1×
Citations per year

Countries citing papers authored by Keiji Terao

Since Specialization
Citations

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

Fields of papers citing papers by Keiji Terao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiji Terao

This figure shows the co-authorship network connecting the top 25 collaborators of Keiji Terao. A scholar is included among the top collaborators of Keiji Terao 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 Keiji Terao. Keiji Terao 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 4
2 4
3 4
4 20
5 5
6 2
7 6
8 4
9 55
10
Effect of cyclodextrin on postprandial blood glucose and triglycerides
1
11 12
12 33
13 14
14
Stabilization of R (+) Alpha Lipoic Acid by Complexation with γ-Cyclodextrin
1
15
Dynamic changes in early development of immune system in macaque monkeys : The significance from standpoint of preclinical toxicity test using nonhuman primates
2
16 36
17 43
18
Focal Macular Electroretinogram of Cynomolgus Monkey (Macaca fascicularis) With Early Onset Macular Degeneration
1
19
Comparative Proteome Analysis of Macula versus Peripheral Retina in Cynomolgus Monkey
2
20
Linkage and mutation analysis to identify the gene associated with macular degeneration segregating in a cynomolgus monkey (Macaca fascicularis) pedigree.
1

About Keiji Terao

Keiji Terao is a scholar working on Virology, Biochemistry and Toxicology, having authored 254 papers that have together received 5.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (21 papers) and Biochemical Acid Research Studies (20 papers). The work is most often cited by research in Virology (280 citations), Toxicology (156 citations) and Organic Chemistry (977 citations). Keiji Terao has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Munetaka Kunishima, Shohei Tani, Chiho Kawachi, Fumiaki Iwasaki, Yasuhiro Yoshikawa, Yoshiyuki Ishida, Sakae Uemura, Akio Toshimitsu, Fumiko Ono and Naohide Ageyama. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and Journal of Neuroscience.

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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