Takeshi Imamura

21.6k citations
248 papers · 16.9k indexed · 5 hit papers · h-index 68
Topics
TGF-β signaling in diseases (77 papers)Bone Metabolism and Diseases (31 papers)Cancer-related gene regulation (21 papers)
Partner nations
JapanUnited StatesSweden

In The Last Decade

Takeshi Imamura

244 papers receiving 16.6k citations

Hit Papers

Visualizing Spatiotemporal Dynamics of Multicellular ...19972026200620162008199720002005200150010001.5k

Peers

Takeshi Imamura
Comparison fields: 5 of 167
  • Molecular Biology 12.1k
  • Oncology 3.8k
  • Cancer Research 1.6k
  • Rheumatology 1.3k
  • Surgery 1.3k
Replace Clemens W.G.M. Löwik with:
Clemens W.G.M. Löwik Netherlands
Dieter E. Jenne Germany
Gary S. Stein United States
Jane E. Aubin Canada
Calvin J. Kuo United States
Gordon Stamp United Kingdom
Ye‐Guang Chen China
Gideon Rechavi Israel
Arne Östman Sweden
Christine L. Mummery Netherlands
Takeshi Imamura relative to Clemens W.G.M. Löwik Netherlands Clemens W.G.M. Löwik's profile →
Citations per field
00.5×1.5×1.8×
Clemens W.G.M. Löwik · 1×
Citations per year

Countries citing papers authored by Takeshi Imamura

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Imamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Imamura

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Imamura. A scholar is included among the top collaborators of Takeshi Imamura 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 Imamura. Takeshi Imamura 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 0
2 0
3 1
4 2
5 5
6 5
7 7
8 9
9 1
10 25
11 42
12 9
13 1
14 76
15 26
16
Signal Transduction Pathway of ActivinA in Retinoblastoma Cell Lines
2
17 71
18 4
19 5
20 1

About Takeshi Imamura

Takeshi Imamura is a scholar working on Biophysics, Structural Biology and Molecular Biology, having authored 248 papers that have together received 16.9k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (77 papers), Bone Metabolism and Diseases (31 papers) and Cancer-related gene regulation (21 papers). The work is most often cited by research in Molecular Biology (12.1k citations), Oncology (3.8k citations) and Cancer Research (1.6k citations). Takeshi Imamura has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Kohei Miyazono, Masahiro Kawabata, Shingo Maeda, Aki Hanyu, Peter ten Dijke, Takanori Ebisawa, Yasumichi Inoue, Keiji Miyazawa, Minoru Fukuchi and Ayako Nishihara. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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