Shuichi Ueda

49 papers receiving 464 citations

Peers

Shuichi Ueda
Comparison fields: 5 of 104
  • Molecular Biology 233
  • Information Systems 73
  • Developmental Neuroscience 68
  • Cancer Research 63
  • Genetics 55
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Citations per field
00.5×5.6×
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Citations per year

Countries citing papers authored by Shuichi Ueda

Since Specialization
Citations

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

Fields of papers citing papers by Shuichi Ueda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuichi Ueda

This figure shows the co-authorship network connecting the top 25 collaborators of Shuichi Ueda. A scholar is included among the top collaborators of Shuichi Ueda 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 Shuichi Ueda. Shuichi Ueda 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 5
2 3
3 0
4 1
5 1
6
Information redundancy effect on watching TV news: Analysis of eye tracking data and examination of the contents
2
7 40
8
Re-Examination of Evidence-based Librarianship (EBL): A content analysis of journal articles
1
9
Automatic Detection for Academic Articles Using Pooling Method
1
10
Final Results of the LIPER Project in Japan
1
11 1
12
Sequence variation found in the flanking region of a trimeric short tandem repeat at the PLA2 locus: its considerable effect on estimating alleles.
4
13
Structure of Information Retrieval Research--Tracking the Specialties and Development of Research Using Co-citation Maps and Citation Diagrams
1
14 9
15 1
16 1
17
Core journals in gene engineering; relationship between the new field and existing fields
0
18 3
19 5
20 1

About Shuichi Ueda

Shuichi Ueda is a scholar working on Library and Information Sciences, Information Systems and Management and Information Systems, having authored 59 papers that have together received 489 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (7 papers), Academic Publishing and Open Access (5 papers) and scientometrics and bibliometrics research (5 papers). The work is most often cited by research in Developmental Neuroscience (68 citations), Library and Information Sciences (11 citations) and Statistics, Probability and Uncertainty (46 citations). Shuichi Ueda has collaborated with scholars based in Japan, Bulgaria and Czechia. Frequent co-authors include Shinsuke Shibata, Shin‐ichi Sakakibara, Tetsu Yoshida, Hiroshi Takano, Yasuo Uchiyama, Hideyuki Okano, Yuki Nakamura, Tetsuo Noda, Masato Koike and Keiko Kurata. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and International Journal of Radiation Oncology*Biology*Physics.

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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