Akira Sawaguchi

5.6k total citations · 1 hit paper
100 papers, 3.8k citations indexed

About

Akira Sawaguchi is a scholar working on Molecular Biology, Surgery and Hematology. According to data from OpenAlex, Akira Sawaguchi has authored 100 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 22 papers in Surgery and 21 papers in Hematology. Recurrent topics in Akira Sawaguchi's work include Platelet Disorders and Treatments (14 papers), Neuroscience of respiration and sleep (12 papers) and Glycosylation and Glycoproteins Research (8 papers). Akira Sawaguchi is often cited by papers focused on Platelet Disorders and Treatments (14 papers), Neuroscience of respiration and sleep (12 papers) and Glycosylation and Glycoproteins Research (8 papers). Akira Sawaguchi collaborates with scholars based in Japan, United States and Pakistan. Akira Sawaguchi's co-authors include Yukari Date, Kenji Kangawa, Masamitsu Nakazato, Muhtashan S. Mondal, Masayasu Kojima, Shigeru Matsukura, Hiroshi Hosoda, Koji Eto, Naoya Takayama and Hiromitsu Nakauchi and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Akira Sawaguchi

95 papers receiving 3.7k citations

Hit Papers

Ghrelin, a Novel Growth Hormone-Releasing Acylated Peptid... 2000 2026 2008 2017 2000 400 800 1.2k

Peers

Akira Sawaguchi
Comparison fields: 5 of 129
  • Endocrine and Autonomic Systems 1.4k
  • Physiology 964
  • Molecular Biology 958
  • Nutrition and Dietetics 954
  • Hematology 694
Replace Farid Chehab with:
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Farid Chehab United States View profile →
Citations per field, relative to Akira Sawaguchi
Akira Sawaguchi · 1×
Citations per year, relative to Akira Sawaguchi
Akira Sawaguchi · 1×

Countries citing papers authored by Akira Sawaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Akira Sawaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Sawaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Sawaguchi. A scholar is included among the top collaborators of Akira Sawaguchi 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 Akira Sawaguchi. Akira Sawaguchi 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 0
2 0
3 6
4 19
5 4
6 15
7 1
8 4
9 63
10 22
11 44
12 16
13 21
14 2
15 48
16 10
17
Ghrelin, a Novel Growth Hormone-Releasing Acylated Peptide, Is Synthesized in a Distinct Endocrine Cell Type in the Gastrointestinal Tracts of Rats and Humans1 breakdown →
1459
18
Factor I (IF) polymorphism in the Japanese population: existence of a new variant and quantitative analysis of different allotypes.
1
19 8
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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