Eiji Seki

1.0k total citations
24 papers, 848 citations indexed

About

Eiji Seki is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Eiji Seki has authored 24 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Physiology and 7 papers in Oncology. Recurrent topics in Eiji Seki's work include Protein Hydrolysis and Bioactive Peptides (16 papers), Biochemical effects in animals (10 papers) and Neuropeptides and Animal Physiology (6 papers). Eiji Seki is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (16 papers), Biochemical effects in animals (10 papers) and Neuropeptides and Animal Physiology (6 papers). Eiji Seki collaborates with scholars based in Japan, United Kingdom and Somalia. Eiji Seki's co-authors include Katsuhiro Osajima, Toshiro Matsui, Yutaka Osajima, Hiroshi Matsufuji, Masatoshi Nakashima, Terukazu Kawasaki, Masaki Yoshida, Tomohiro Kawasaki, Kei Tamaya and Yutaka OSAJIMA and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Carbohydrate Research and Journal of Hypertension.

In The Last Decade

Eiji Seki

23 papers receiving 778 citations

Peers

Eiji Seki
Comparison fields: 5 of 56
  • Molecular Biology 737
  • Insect Science 345
  • Physiology 215
  • Animal Science and Zoology 172
  • Aquatic Science 143
Replace Ai Saiga with:
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Belinda W.Y. Cheung United States
Fa-Yuan Hu China
Marta Pokora Poland
Ruizeng Gu China
Isabelle M. E. Lacroix Canada
Shikun Suo China
Guo Le China
Megumi Yokoo Japan
Ramak Esfandi Canada
Ai Saiga Japan View profile →
Citations per field, relative to Eiji Seki
Eiji Seki · 1×
Citations per year, relative to Eiji Seki
Eiji Seki · 1×

Countries citing papers authored by Eiji Seki

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Seki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Seki

This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Seki. A scholar is included among the top collaborators of Eiji Seki 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 Seki. Eiji Seki 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
# Work Indexed citations
1 2
2 16
3 1
4 0
5 78
6
[Antihypertensive effect and safety evaluation of vegetable drink with peptides derived from sardine protein hydrolysates on mild hypertensive, high-normal and normal blood pressure subjects].
22
7 65
8 196
9 20
10 4
11 5
12 29
13 209
14 154
15 10
16 4
17 10
18 1
19 3
20 3

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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