Junko Sasaki

4.0k citations
53 papers · 2.8k indexed · 1 hit paper · h-index 25
Topics
Cellular transport and secretion (14 papers)PI3K/AKT/mTOR signaling in cancer (8 papers)Protein Kinase Regulation and GTPase Signaling (8 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Junko Sasaki

50 papers receiving 2.7k citations

Hit Papers

Hepatocyte-specific Pten deficiency results in steatohepa...20042026201120182004100200300400500

Peers

Junko Sasaki
Comparison fields: 5 of 103
  • Molecular Biology 1.7k
  • Cell Biology 647
  • Epidemiology 565
  • Immunology 307
  • Cancer Research 287
Replace Tina Garofalo with:
Tina Garofalo Italy
Russell W. Jenkins United States
Stefano Fumagalli France
Bill X. Wu United States
Maria Laura Avantaggiati United States
Rebecca P. Hughey United States
Christopher Belham United Kingdom
Francesc Tebar Spain
Gudrun Ihrke United States
Giusy Fiucci Israel
Junko Sasaki relative to Tina Garofalo Italy Tina Garofalo's profile →
Citations per field
00.5×1.5×1.8×
Tina Garofalo · 1×
Citations per year

Countries citing papers authored by Junko Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Junko Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Junko Sasaki. A scholar is included among the top collaborators of Junko Sasaki 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 Junko Sasaki. Junko Sasaki 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 4
2 0
3 3
4 47
5 22
6 19
7 72
8 57
9 49
10 114
11 117
12 65
13 45
14 27
15
Mammalian Type III Phosphatidylinositol Phosphate Kinase is Dispensable for Cell Growth and Survival
1
16 236
17
Hepatocyte-specific Pten deficiency results in steatohepatitis and hepatocellular carcinomasbreakdown →
547
18 41
19 18
20 7

About Junko Sasaki

Junko Sasaki is a scholar working on Physiology, Cell Biology and Aging, having authored 53 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (14 papers), PI3K/AKT/mTOR signaling in cancer (8 papers) and Protein Kinase Regulation and GTPase Signaling (8 papers). The work is most often cited by research in Cell Biology (647 citations), Biochemistry (198 citations) and Molecular Biology (1.7k citations). Junko Sasaki has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Takehiko Sasaki, Akira Suzuki, Yasuo Horie, Shunsuke Takasuga, Tak W. Mak, Masakazu Yamazaki, Satoshi Eguchi, Toru Nakano, Go Hasegawa and Hiroyuki Kishimoto. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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