Keiko Unno

2.9k citations
83 papers · 2.3k indexed · h-index 27
Topics
Tea Polyphenols and Effects (36 papers)Tryptophan and brain disorders (34 papers)Neuroinflammation and Neurodegeneration Mechanisms (14 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEApplied and Environmental Microbiology

In The Last Decade

Keiko Unno

82 papers receiving 2.2k citations

Peers

Keiko Unno
Comparison fields: 5 of 122
  • Pathology and Forensic Medicine 875
  • Molecular Biology 582
  • Biological Psychiatry 551
  • Physiology 547
  • Biochemistry 365
Replace Kavon Rezai‐Zadeh with:
Kavon Rezai‐Zadeh United States
Lap Ho United States
Zhongwen Xie China
Yoriyuki Nakamura Japan
Paul E. Milbury United States
Perla D. Maldonado Mexico
Tourandokht Baluchnejadmojarad Iran
Maria Scuto Italy
Marco Malaguti Italy
Mangala Lahkar India
Keiko Unno relative to Kavon Rezai‐Zadeh United States Kavon Rezai‐Zadeh's profile →
Citations per field
00.5×1.5×2.3×
Kavon Rezai‐Zadeh · 1×
Citations per year

Countries citing papers authored by Keiko Unno

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Unno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Unno

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Unno. A scholar is included among the top collaborators of Keiko Unno 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 Keiko Unno. Keiko Unno 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 1
3 10
4 1
5 22
6 10
7 1
8 14
9 18
10 59
11 39
12 107
13 59
14 56
15 73
16 15
17 62
18 48
19 100
20 2

About Keiko Unno

Keiko Unno is a scholar working on Biological Psychiatry, Aging and Pathology and Forensic Medicine, having authored 83 papers that have together received 2.3k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (36 papers), Tryptophan and brain disorders (34 papers) and Neuroinflammation and Neurodegeneration Mechanisms (14 papers). The work is most often cited by research in Biological Psychiatry (551 citations), Biochemistry (365 citations) and Aging (90 citations). Keiko Unno has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Yoriyuki Nakamura, Monira Pervin, Kazuaki Iguchi, Minoru Hoshino, Naoto Oku, Fumiyo Takabayashi, Akiko Takagaki, Mamoru Isemura, Noriyuki Miyoshi and Hiroki Tanabe. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

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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