Jun Fujita

5.9k total citations
133 papers, 4.5k citations indexed

About

Jun Fujita is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jun Fujita has authored 133 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 37 papers in Surgery and 18 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jun Fujita's work include Pluripotent Stem Cells Research (24 papers), Tissue Engineering and Regenerative Medicine (23 papers) and CRISPR and Genetic Engineering (12 papers). Jun Fujita is often cited by papers focused on Pluripotent Stem Cells Research (24 papers), Tissue Engineering and Regenerative Medicine (23 papers) and CRISPR and Genetic Engineering (12 papers). Jun Fujita collaborates with scholars based in Japan, United States and United Kingdom. Jun Fujita's co-authors include Keiichi Fukuda, Hiroshi Kawada, Kiyoshi Ando, Stuart A. Aaronson, Shugo Tohyama, Hiroki Nakayama, Hideyuki Okano, Tomomitsu Hotta, Satoshi Ogawa and Kenneth S. Polonsky and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jun Fujita

129 papers receiving 4.4k citations

Peers

Jun Fujita
Comparison fields: 5 of 120
  • Molecular Biology 2.4k
  • Surgery 1.4k
  • Genetics 656
  • Oncology 597
  • Immunology 592
Replace Antonis K. Hatzopoulos with:
Antonis K. Hatzopoulos United States
Maurizio Pesce Italy
T. Michael Underhill Canada
Deborah L. French United States
Thomas Korff Germany
Wendy M. Mars United States
Su‐Li Cheng United States
Ronald A. Seifert United States
Jochen W.U. Fries Germany
Dirk Büscher United States
Antonis K. Hatzopoulos United States View profile →
Citations per field, relative to Jun Fujita
Jun Fujita · 1×
Citations per year, relative to Jun Fujita
Jun Fujita · 1×

Countries citing papers authored by Jun Fujita

Since Specialization
Citations

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

Fields of papers citing papers by Jun Fujita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Fujita

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Fujita. A scholar is included among the top collaborators of Jun Fujita 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 Jun Fujita. Jun Fujita 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 6
3 6
4 8
5 11
6 0
7 13
8 53
9 10
10 229
11 66
12 32
13 41
14 55
15 15
16 55
17 44
18 4
19
Inhibition of erythroid differentiation by stem cell factor in K562 cells expressing the c-kit gene.
16
20 6

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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