Tetsuro Maeda

23 papers receiving 244 citations

Peers

Tetsuro Maeda
Comparison fields: 5 of 67
  • Infectious Diseases 88
  • Applied Microbiology and Biotechnology 9
  • Critical Care and Intensive Care Medicine 17
  • Neurology 36
  • Radiological and Ultrasound Technology 8
Replace Khaled Elhusseiny with:
Khaled Elhusseiny Egypt
Lütfi Saltuk Demir Türkiye
Viviane Cordeiro Veiga Brazil
Xiao Qing Wang United States
Andrew Dysangco United States
Eirik Alnes Buanes Norway
Juan Carlos de Carlos Vicente Spain
Federico Espinosa Chile
Ezequiel Saavedra Argentina
A Bengolea Argentina
Tetsuro Maeda relative to Khaled Elhusseiny Egypt Khaled Elhusseiny's profile →
Citations per field
00.5×1.5×
Khaled Elhusseiny · 1×
Citations per year

Countries citing papers authored by Tetsuro Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuro Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202045
2 202042
3 202032
4 202329
5 202019
6 202016
7 202313
8 20039
9 20178
10 19786
11 20025
12 20035
13 20234
14 20204
15 20203
16 20232
17 20222
18 20231
19 20171
20 20241

About Tetsuro Maeda

Tetsuro Maeda is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Epidemiology, Critical Care and Intensive Care Medicine and Radiation, having authored 26 papers that have together received 250 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Sepsis Diagnosis and Treatment (4 papers), Radiation Detection and Scintillator Technologies (3 papers), Particle Detector Development and Performance (3 papers), Respiratory Support and Mechanisms (2 papers), Tuberculosis Research and Epidemiology (2 papers), Intensive Care Unit Cognitive Disorders (2 papers) and Pleural and Pulmonary Diseases (2 papers). The work is most often cited by research in Infectious Diseases (88 citations), Applied Microbiology and Biotechnology (9 citations), Critical Care and Intensive Care Medicine (17 citations), Neurology (36 citations) and Radiological and Ultrasound Technology (8 citations). Tetsuro Maeda has collaborated with scholars based in United States and Japan. Frequent co-authors include Toshiki Kuno, Dahlia Rizk, Mai Takahashi, Mark T. Dransfield, Ryota Sato, Daisuke Hasegawa, Narut Prasitlumkum, Kazuki Nishida, Siddharth Dugar and Fuyuki Tokanai. Their work appears in journals such as Critical Care Medicine, Journal of Intensive Care Medicine, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, CHEST Journal and IEEE Transactions on Nuclear Science.

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.

Explore authors with similar magnitude of impact