Masaki Takashima

1.8k citations
55 papers · 1.4k indexed · h-index 18
Topics
Fluid Dynamics and Thin Films (23 papers)Fluid Dynamics and Turbulent Flows (16 papers)Nanofluid Flow and Heat Transfer (15 papers)
Partner nations
JapanCanadaGreece

In The Last Decade

Masaki Takashima

49 papers receiving 1.3k citations

Peers

Masaki Takashima
Comparison fields: 5 of 89
  • Computational Mechanics 632
  • Oncology 487
  • Biomedical Engineering 432
  • Surgery 275
  • Molecular Biology 227
Replace Ardith W. El-Kareh with:
Ardith W. El-Kareh United States
Sandeep Saha United States
Hongshen Ma Canada
José Moreno Chile
Nanna M. Sijtsema Netherlands
Leonard Cohen United States
Randall Tagg United States
Tomoharu Yamada Japan
Damir B. Khismatullin United States
Ikuo Nakamura Japan
Masaki Takashima relative to Ardith W. El-Kareh United States Ardith W. El-Kareh's profile →
Citations per field
00.5×4.8×
Ardith W. El-Kareh · 1×
Citations per year

Countries citing papers authored by Masaki Takashima

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Takashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Takashima

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Takashima. A scholar is included among the top collaborators of Masaki Takashima 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 Masaki Takashima. Masaki Takashima 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 4
2
A Case of Body Stalk Anomaly
1
3 133
4 33
5 49
6 340
7 3
8 11
9 0
10 0
11 4
12 15
13 10
14 9
15 0
16 52
17 104
18 39
19 11
20 18

About Masaki Takashima

Masaki Takashima is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Otorhinolaryngology, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (23 papers), Fluid Dynamics and Turbulent Flows (16 papers) and Nanofluid Flow and Heat Transfer (15 papers). The work is most often cited by research in Computational Mechanics (632 citations), Oncology (487 citations) and Fluid Flow and Transfer Processes (94 citations). Masaki Takashima has collaborated with scholars based in Japan, Canada and Greece. Frequent co-authors include Toshiro Fukuda, Keizo Sugimachi, Hideo Baba, Ashish Ghosh, Hiroaki Kubo, Naohiko Harada, Yoshiharu Chijiíwa, Kazuya Akahoshi, Hajime Nawata and Toshihiko Sumii. Their work appears in journals such as Cancer, The American Journal of Gastroenterology and Journal of the Physical Society of Japan.

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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