Akira Saeki

1.1k total citations
26 papers, 850 citations indexed

About

Akira Saeki is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Hepatology. According to data from OpenAlex, Akira Saeki has authored 26 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Hepatology. Recurrent topics in Akira Saeki's work include Liver Disease Diagnosis and Treatment (7 papers), Hepatitis C virus research (6 papers) and Hepatitis B Virus Studies (5 papers). Akira Saeki is often cited by papers focused on Liver Disease Diagnosis and Treatment (7 papers), Hepatitis C virus research (6 papers) and Hepatitis B Virus Studies (5 papers). Akira Saeki collaborates with scholars based in Japan, Switzerland and United States. Akira Saeki's co-authors include Kazuhiko Nakao, Seigo Abiru, Hiroshi Yatsuhashi, Satoru Hashimoto, Kazumi Yamasaki, Atsumasa Komori, Shinya Nagaoka, Shigemune Bekki, Tatsuki Ichikawa and Keisuke Hamasaki and has published in prestigious journals such as PLoS ONE, Hepatology and Cancer.

In The Last Decade

Akira Saeki

25 papers receiving 833 citations

Peers

Akira Saeki
Comparison fields: 5 of 63
  • Epidemiology 661
  • Hepatology 496
  • Molecular Biology 160
  • Genetics 134
  • Oncology 62
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Citations per field, relative to Akira Saeki
Akira Saeki · 1×
Citations per year, relative to Akira Saeki
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Countries citing papers authored by Akira Saeki

Since Specialization
Citations

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

Fields of papers citing papers by Akira Saeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Saeki

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Saeki. A scholar is included among the top collaborators of Akira Saeki 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 Saeki. Akira Saeki 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 3
2 1
3 16
4 1
5 76
6 66
7 190
8 1
9
[Metastasis of uterine leiomyosarcoma to the pancreas--usefulness and limitations of EUS-FNA].
3
10 16
11 253
12 5
13 162
14
[Syndrome of inappropriate secretion of antidiuretic hormone associated with miliary tuberculosis].
0
15
[Erythropoietin improved anemia in a case of multicentric Castleman's disease].
2
16
[RAEB in T with monosomy 7 after treatment of severe aplastic anemia with long term G-CSF].
3
17
[A clinical experience of DNA probe method for identifying Mycobacterium avium and Mycobacterium intracellulare].
1
18
[Aplastic anemia with giant splenomegaly and myelofibrosis successfully treated with antilymphocyte globulin].
1
19 1
20
[Radioimmunoassay of urinary and serum HCG with anti-beta-subunit HCG serum].
1

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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