Sayaka Sekiya

2.1k citations
19 papers · 1.5k indexed · 1 hit paper · h-index 13
Topics
Liver physiology and pathology (10 papers)Pancreatic function and diabetes (6 papers)Pluripotent Stem Cells Research (3 papers)

In The Last Decade

Sayaka Sekiya

19 papers receiving 1.5k citations

Hit Papers

Direct conversion of mouse fibroblasts to hepatocyte-like...20112026201620212011200400600

Peers

Sayaka Sekiya
Comparison fields: 5 of 84
  • Molecular Biology 884
  • Surgery 738
  • Hepatology 555
  • Oncology 226
  • Cancer Research 139
Replace Jiawen Huang with:
Jiawen Huang United States
Leslie Wakefield United States
Naoki Tanimizu Japan
Yong-Qing Zhou China
Petar N. Grozdanov United States
Juling Ji China
Jesús V. Soriano Switzerland
Juan Bayo Argentina
Esteban Fiore Argentina
Mariana Malvicini Argentina
Sayaka Sekiya relative to Jiawen Huang United States Jiawen Huang's profile →
Citations per field
00.5×2.9×
Jiawen Huang · 1×
Citations per year

Countries citing papers authored by Sayaka Sekiya

Since Specialization
Citations

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

Fields of papers citing papers by Sayaka Sekiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sayaka Sekiya

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 7
2 3
3 4
4 18
5 46
6 2
7 30
8 24
9 12
10 89
11 261
12
Direct conversion of mouse fibroblasts to hepatocyte-like cells by defined factorsbreakdown →
633
13 32
14 57
15 88
16 118
17 63
18 2
19 34

About Sayaka Sekiya

Sayaka Sekiya is a scholar working on Hepatology, Surgery and Cancer Research, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver physiology and pathology (10 papers), Pancreatic function and diabetes (6 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Hepatology (555 citations), Surgery (738 citations) and Molecular Biology (884 citations). Sayaka Sekiya has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Atsushi Suzuki, Hideki Taniguchi, Juan Carlos Izpisúa Belmonte, Dirk Büscher, Hiroshi Kiyonari, Hiromitsu Nakauchi, Naoko Oshima, Miyako Udono, Yasuyuki Ohkawa and Kenichi Horisawa. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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