Takuya Iwasaki

2.2k citations
75 papers · 1.7k indexed · h-index 24

Takuya Iwasaki

72 papers receiving 1.7k citations

Peers

Takuya Iwasaki
Comparison fields: 5 of 115
  • Parasitology 206
  • Infectious Diseases 470
  • Cardiology and Cardiovascular Medicine 378
  • Agronomy and Crop Science 128
  • Public Health, Environmental and Occupational Health 343
Replace Matthew P. Taylor with:
Matthew P. Taylor United States
Takuya Maeda Japan
Shuchao Wang China
Esther Bullitt United States
Christian Probst Brazil
Yunya Liu China
Liangjun Chen China
Andreas Moritz Germany
E. I. Ryabchikova Russia
Changchun Liu United States
Takuya Iwasaki relative to Matthew P. Taylor United States Matthew P. Taylor's profile →
Citations per field
00.5×1.7×
Matthew P. Taylor · 1×
Citations per year

Countries citing papers authored by Takuya Iwasaki

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Iwasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Takuya Iwasaki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Takuya Iwasaki Line = papers co-authored together Takuya Iwasaki links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 202316
4 20239
5 20231
6 202061
7 20206
8 20199
9 20191
10 201716
11 200714
12
Millimeter long vertically aligned single-walled carbon nanotubes by an ultra long lifetime of catalysts
20061
13 20056
14 200523
15 20049
16 200433
17 20046
18 200424
19 200018
20 199942

About Takuya Iwasaki

Takuya Iwasaki is a scholar working on Parasitology, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 75 papers that have together received 1.7k indexed citations. Recurring topics across this work include Graphene research and applications (29 papers), Quantum and electron transport phenomena (14 papers), Diamond and Carbon-based Materials Research (10 papers), Viral Infections and Vectors (6 papers), Nanofabrication and Lithography Techniques (6 papers), Advancements in Photolithography Techniques (5 papers), Gas Sensing Nanomaterials and Sensors (5 papers) and Advancements in Semiconductor Devices and Circuit Design (5 papers). The work is most often cited by research in Parasitology (206 citations), Infectious Diseases (470 citations) and Cardiology and Cardiovascular Medicine (378 citations). Takuya Iwasaki has collaborated with scholars based in Japan, United Kingdom and Malaysia. Frequent co-authors include Tetsutaro Sata, Somchai Jongwutiwes, Chaturong Putaporntip, Hiroji Kanbara, Noriyo Nagata, Hiroshi Mizuta, Minetaro Arita, Yasushi Ami, Hiroyuki Shimizu and Yuriko Suzaki. Their work appears in journals such as Nano Letters, Applied Physics Letters and Macromolecules.

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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