T. Nakamura

516 citations
12 papers · 436 indexed · h-index 7
Topics
Fibroblast Growth Factor Research (2 papers)TGF-β signaling in diseases (2 papers)Ecology and Conservation Studies (2 papers)
Partner nations
Japan

In The Last Decade

T. Nakamura

12 papers receiving 426 citations

Peers

T. Nakamura
Comparison fields: 5 of 88
  • Molecular Biology 251
  • Oncology 138
  • Genetics 60
  • Biomedical Engineering 51
  • Urology 50
Replace Mehrdad Noruzinia with:
Mehrdad Noruzinia Iran
Hitoshi Tai Japan
Ana Lı́a Errecalde Argentina
Robert M. DePhilip United States
Dao Chao Huang Canada
Leyao Shen United States
Karim El Khatib Morocco
Diane Foster United Kingdom
Jessica Gabler Germany
T. Nakamura relative to Mehrdad Noruzinia Iran Mehrdad Noruzinia's profile →
Citations per field
00.5×3.8×
Mehrdad Noruzinia · 1×
Citations per year

Countries citing papers authored by T. Nakamura

Since Specialization
Citations

This map shows the geographic impact of T. Nakamura'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 T. Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nakamura more than expected).

Fields of papers citing papers by T. Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Nakamura

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 5
2 3
3 72
4
Follistatin and its role as an activin-binding protein.
56
5 30
6
A new sensitive method for determination of intracellular 1-beta-D-arabinofuranosylcytosine 5'-triphosphate content in human materials in vivo.
29
7 201
8 6
9 17
10
Effect of recombinant human basic fibroblast growth factor on skin tumor formation in 7, 12-Dimethylbenz [a] anthracene-initiated mice
1
11
Chromosome number and geographical distribution of monoecious and dioecious Hydrilla verticillata (L.f.) royle (Hydrocharitaceae) in Japan
15
12
[Development of slow releasing anticancer drug based with absorbable biomaterial chitin].
1

About T. Nakamura

T. Nakamura is a scholar working on Surfaces, Coatings and Films, Aquatic Science and Biochemistry, having authored 12 papers that have together received 436 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (2 papers), TGF-β signaling in diseases (2 papers) and Ecology and Conservation Studies (2 papers). The work is most often cited by research in Urology (50 citations), Oncology (138 citations) and Genetics (39 citations). T. Nakamura has collaborated with scholars based in Japan. Frequent co-authors include H Sugino, Kyoka Sugino, Hiroki Shoji, Osamu Hashimoto, Takahiro Yamauchi, Yasuro Kadono, Takeshi Kawabe, Sei Haga, Shin-ichi Akiyama and Morimasa Wada. Their work appears in journals such as Circulation Research, PLANT PHYSIOLOGY and Biochemical and Biophysical Research Communications.

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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