Eiji Uchida

1.2k citations
31 papers · 964 indexed · h-index 13
Topics
Virus-based gene therapy research (3 papers)Animal Virus Infections Studies (3 papers)Genetic Neurodegenerative Diseases (2 papers)

In The Last Decade

Eiji Uchida

30 papers receiving 934 citations

Peers

Eiji Uchida
Comparison fields: 5 of 100
  • Molecular Biology 627
  • Plant Science 344
  • Cellular and Molecular Neuroscience 175
  • Genetics 96
  • Pollution 63
Replace Matteo Chiara with:
Matteo Chiara Italy
Lulu Li China
Natalia Makarova United States
Hyung‐Lyun Kang South Korea
Zhen Tian China
R. Harcourt Australia
Pengpeng Li China
Xiaojing Yang China
Eiji Uchida relative to Matteo Chiara Italy Matteo Chiara's profile →
Citations per field
00.5×4.5×
Matteo Chiara · 1×
Citations per year

Countries citing papers authored by Eiji Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Uchida

This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Uchida. A scholar is included among the top collaborators of Eiji Uchida 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 Eiji Uchida. Eiji Uchida 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 28
2 181
3 0
4 1
5 72
6 20
7 4
8 61
9 37
10 12
11 31
12 46
13
Tumor marker measurements of cells in a fine needle used for aspiration cytology.
1
14 323
15 10
16 1
17 1
18 8
19
Induction of liver tumors in Wistar rats by sodium nitrite given in pellet diet.
16
20
A melanotic ameloblastic fibro-odontoma.
19

About Eiji Uchida

Eiji Uchida is a scholar working on Animal Science and Zoology, Biotechnology and Applied Psychology, having authored 31 papers that have together received 964 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Animal Virus Infections Studies (3 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (175 citations), Plant Science (344 citations) and Molecular Biology (627 citations). Eiji Uchida has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Mayumi Kimizu, Yasuo Nagato, Shinnosuke Ohmori, Hitoshi Yoshida, Akio Miyao, Hirohiko Hirochika, Nobutada Tachi, José Barros, Clara Barbot and Tetsuya Nagata. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Environmental Science & Technology.

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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