Saeko Uchida

577 total citations
17 papers, 440 citations indexed

About

Saeko Uchida is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Saeko Uchida has authored 17 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Saeko Uchida's work include Diabetes Treatment and Management (7 papers), Liver Disease Diagnosis and Treatment (3 papers) and Pancreatic function and diabetes (3 papers). Saeko Uchida is often cited by papers focused on Diabetes Treatment and Management (7 papers), Liver Disease Diagnosis and Treatment (3 papers) and Pancreatic function and diabetes (3 papers). Saeko Uchida collaborates with scholars based in Japan. Saeko Uchida's co-authors include Motoko Ohata, Keizo Arihara, Koichiro Shiokawa, Mari Aoki, Shigeo Morimoto, Hiroshi Hara, Teisuke Takahashi, Yukihiro Chino, Hiroyuki Kakinuma and Masayuki Arai and has published in prestigious journals such as Food Chemistry, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Saeko Uchida

16 papers receiving 428 citations

Peers

Saeko Uchida
Comparison fields: 5 of 72
  • Molecular Biology 185
  • Endocrinology, Diabetes and Metabolism 164
  • Surgery 106
  • Epidemiology 60
  • Organic Chemistry 60
Replace Mark T. Yates with:
Mark T. Yates United States
Sushmita Bhattacharya India
Stefania Asciutti Italy
K Miyamoto Japan
Bing Dai China
Paola Ciciola Italy
Ashok Hospattankar United States
Irmgard Costa Spain
C. Crotte France
Nadja Alt Germany
Mark T. Yates United States View profile →
Citations per field, relative to Saeko Uchida
Saeko Uchida · 1×
Citations per year, relative to Saeko Uchida
Saeko Uchida · 1×

Countries citing papers authored by Saeko Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Saeko Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeko Uchida

This figure shows the co-authorship network connecting the top 25 collaborators of Saeko Uchida. A scholar is included among the top collaborators of Saeko 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 Saeko Uchida. Saeko Uchida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 15
3 4
4 2
5 19
6 17
7 8
8 5
9 67
10 14
11 5
12 127
13 11
14 31
15 57
16 48
17 10

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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2026