Rieko Uchihi

584 citations
36 papers · 473 indexed · h-index 12
Topics
Molecular Biology Techniques and Applications (21 papers)Forensic and Genetic Research (20 papers)Genetic diversity and population structure (4 papers)
Partner nations
JapanUnited KingdomChina

In The Last Decade

Rieko Uchihi

36 papers receiving 456 citations

Peers

Rieko Uchihi
Comparison fields: 5 of 64
  • Genetics 335
  • Molecular Biology 321
  • Ecology 96
  • Archeology 34
  • Biotechnology 28
Replace Ingo Bastisch with:
Ingo Bastisch Germany
Daniele Podini United States
Cordula Eichmann Austria
Ole J. Marvik Norway
Reza Alaeddini Australia
Donna A. Sobieski United States
Michael Stangegaard Denmark
Angela K. Hinz United States
Daguang Wang China
J E Ikeda United States
Rieko Uchihi relative to Ingo Bastisch Germany Ingo Bastisch's profile →
Citations per field
00.5×1.5×2.3×
Ingo Bastisch · 1×
Citations per year

Countries citing papers authored by Rieko Uchihi

Since Specialization
Citations

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

Fields of papers citing papers by Rieko Uchihi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rieko Uchihi

This figure shows the co-authorship network connecting the top 25 collaborators of Rieko Uchihi. A scholar is included among the top collaborators of Rieko Uchihi 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 Rieko Uchihi. Rieko Uchihi 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 1
2 5
3 1
4 21
5 40
6 31
7 12
8 6
9 8
10 3
11 7
12 19
13 1
14 5
15 8
16 7
17
[DNA typing of the three HLA-class II loci from saliva stains].
4
18
[DNA typing and analysis of the D1S8 (MS 32) allele in the Japanese population by the minisatellite variant repeat (MVR) mapping by polymerase chain reaction (PCR) assay].
5
19 33
20 5

About Rieko Uchihi

Rieko Uchihi is a scholar working on Genetics, Molecular Biology and Virology, having authored 36 papers that have together received 473 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (21 papers), Forensic and Genetic Research (20 papers) and Genetic diversity and population structure (4 papers). The work is most often cited by research in Genetics (335 citations), Molecular Biology (321 citations) and Ecology (96 citations). Rieko Uchihi has collaborated with scholars based in Japan, United Kingdom and China. Frequent co-authors include Yoshinao Katsumata, Toshimichi Yamamoto, Keiji Tamaki, Takashi Yoshimoto, Takeo Kojima, Shigezo Udaka, Norihiro Tsukagoshi, Akio Tsuboi, Takashi Sasaki and Hideo Yamagata. Their work appears in journals such as Journal of Bacteriology, Electrophoresis and Human Genetics.

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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