Takuya Maeda

3.3k citations
185 papers · 2.1k · h-index 25

Impact in

Papers in

    • Trypanosoma species research and implications 7
    • SARS-CoV-2 and COVID-19 Research 8
    • COVID-19 Clinical Research Studies 7
    • SARS-CoV-2 detection and testing 7

Takuya Maeda

164 papers receiving 2.1k citations

Peers

Takuya Maeda
Comparison fields: 5 of 155
  • Parasitology 175
  • Infectious Diseases 441
  • Aging 37
  • Molecular Medicine 88
  • Clinical Biochemistry 92
Replace Grégory Jouvion with:
Grégory Jouvion France
Tao Hong China
Michael Laue Germany
Charles C. Kim United States
Akio Yamada Japan
James C. Wright United States
Seung‐Yong Seong South Korea
Vadim M. Govorun Russia
Li Xiao United States
Hitomi Yamaguchi Japan
Takuya Maeda relative to Grégory Jouvion France Grégory Jouvion's profile →
Citations per field
00.5×1.5×1.8×
Grégory Jouvion · 1×
Citations per year

Countries citing papers authored by Takuya Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Takuya Maeda, 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 Maeda Line = papers co-authored together Takuya Maeda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202085
2 202082
3 199872
4 200869
5 200066
6 201956
7 201852
8 201447
9 200743
10 201742
11 202141
12 200840
13
Physiologically defined VIM nucleus. Its special reference to control of tremor.
197838
14 201437
15 199835
16 201335
17 201835
18 201834
19 200932
20 199731

About Takuya Maeda

Takuya Maeda is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 185 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (14 papers), Bacterial Identification and Susceptibility Testing (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Metal Alloys Wear and Properties (7 papers), Trypanosoma species research and implications (7 papers), COVID-19 Clinical Research Studies (7 papers), Toxoplasma gondii Research Studies (7 papers) and SARS-CoV-2 detection and testing (7 papers). The work is most often cited by research in Parasitology (175 citations), Infectious Diseases (441 citations), Aging (37 citations), Molecular Medicine (88 citations) and Clinical Biochemistry (92 citations). Takuya Maeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuo Imai, Shigefumi Maesaki, Norihito Tarumoto, Jun Sakai, Akihiko Kawana, Takashi Murakami, Kei Mikita, Yasushi Miyahira, Yutaro Kitagawa and Shinichi Takeuchi. Their work appears in journals such as ISIJ International, Journal of Medical Microbiology, Japanese Journal of Applied Physics, International Journal of Infectious Diseases and Journal of Medical Virology.

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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