Keisuke Sekine

10.1k citations
65 papers · 7.1k indexed · 4 hit papers · h-index 28
Topics
Pluripotent Stem Cells Research (15 papers)3D Printing in Biomedical Research (14 papers)Liver physiology and pathology (13 papers)
Partner nations
JapanUnited StatesMexico

In The Last Decade

Keisuke Sekine

64 papers receiving 7.0k citations

Hit Papers

Vascularized and functional human live...1997202620062016201319991997201750010001.5k

Peers

Keisuke Sekine
Comparison fields: 5 of 143
  • Molecular Biology 4.0k
  • Surgery 1.8k
  • Biomedical Engineering 1.3k
  • Genetics 1.0k
  • Hepatology 950
Replace Magda Kucia with:
Magda Kucia United States
Jennifer LeCouter United States
Jan Kitajewski United States
Dieter Riethmacher Germany
Stefania Bruno Italy
Neil A. Hanley United Kingdom
Miodrag Stojković Germany
Takahiro Kunisada Japan
John S. Rudge United States
Samuel Davis United States
Keisuke Sekine relative to Magda Kucia United States Magda Kucia's profile →
Citations per field
00.5×
Magda Kucia · 1×
Citations per year

Countries citing papers authored by Keisuke Sekine

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Sekine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Sekine

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Sekine. A scholar is included among the top collaborators of Keisuke Sekine 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 Keisuke Sekine. Keisuke Sekine 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 5
2 11
3 5
4 27
5 146
6 65
7 39
8 4
9 23
10 5
11 2
12 11
13 13
14 288
15 26
16 2
17 19
18 9
19 272
20 38

About Keisuke Sekine

Keisuke Sekine is a scholar working on Hepatology, Molecular Biology and Oral Surgery, having authored 65 papers that have together received 7.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (15 papers), 3D Printing in Biomedical Research (14 papers) and Liver physiology and pathology (13 papers). The work is most often cited by research in Hepatology (950 citations), Molecular Biology (4.0k citations) and Urology (288 citations). Keisuke Sekine has collaborated with scholars based in Japan, United States and Mexico. Frequent co-authors include Shigeaki Kato, Hideki Taniguchi, Takanori Takebe, Tatsuya Yoshizawa, Ranran Zhang, Hideyo Ohuchi, Nobuyuki Itoh, Masahiro Yamasaki, Yasuharu Ueno and Yun‐Wen Zheng. 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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