Takeshi Teramura

1.5k total citations
56 papers, 1.1k citations indexed

About

Takeshi Teramura is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Takeshi Teramura has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 11 papers in Surgery and 11 papers in Genetics. Recurrent topics in Takeshi Teramura's work include Pluripotent Stem Cells Research (19 papers), Mesenchymal stem cell research (10 papers) and Tissue Engineering and Regenerative Medicine (7 papers). Takeshi Teramura is often cited by papers focused on Pluripotent Stem Cells Research (19 papers), Mesenchymal stem cell research (10 papers) and Tissue Engineering and Regenerative Medicine (7 papers). Takeshi Teramura collaborates with scholars based in Japan, United States and Canada. Takeshi Teramura's co-authors include Yuta Onodera, Kanji Fukuda, Toshiyuki Takehara, Chiaki Hamanishi, Yoshihiko Hosoi, Masao Akagi, Tatsuya Sawamura, Hideki Kishimoto, Toshihiro Mihara and Kazuya Matsumoto and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Takeshi Teramura

51 papers receiving 1.1k citations

Peers

Takeshi Teramura
Comparison fields: 5 of 108
  • Molecular Biology 562
  • Rheumatology 223
  • Cancer Research 200
  • Surgery 176
  • Physiology 120
Replace Anjing Liang with:
Anjing Liang China
Shoichiro Kokabu Japan
Ileana Ruxandra Botusan Sweden
Monte Hunter United States
Mi Yang China
Yuta Onodera Japan
Anastasios Chanalaris United Kingdom
Olivier Malaise Belgium
Alain‐Pierre Gadeau France
Anjing Liang China View profile →
Citations per field, relative to Takeshi Teramura
Takeshi Teramura · 1×
Citations per year, relative to Takeshi Teramura
Takeshi Teramura · 1×

Countries citing papers authored by Takeshi Teramura

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Teramura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Teramura

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Teramura. A scholar is included among the top collaborators of Takeshi Teramura 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 Takeshi Teramura. Takeshi Teramura 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 0
3 5
4 66
5 7
6 11
7 18
8 0
9 3
10 2
11 13
12 40
13 22
14 55
15 22
16 30
17 8
18 27
19 5
20 38

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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