Hirofumi Maeda

1.8k citations
63 papers · 1.3k · h-index 16

Impact in

Papers in

Hirofumi Maeda

48 papers receiving 1.2k citations

Peers

Hirofumi Maeda
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 287
  • Cardiology and Cardiovascular Medicine 320
  • Obstetrics and Gynecology 79
  • Rehabilitation 36
  • Complementary and alternative medicine 40
Replace Nariman Moradi with:
Nariman Moradi Iran
Hiroyuki Kanda Japan
Toshiharu Kawamoto Japan
Αreti Triantafyllou Greece
Carsta Koehler Germany
Kuldip Thusu United States
Jae‐Seung Yun South Korea
Elena Daghini United States
Ole Peter Kristiansen Denmark
Hirofumi Maeda relative to Nariman Moradi Iran Nariman Moradi's profile →
Citations per field
00.5×10×20×29.5×
Nariman Moradi · 1×
Citations per year

Countries citing papers authored by Hirofumi Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Hirofumi Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012233
2 2012222
3 2013159
4 2009107
5
The superoxide generation of neutrophils in normal and preeclamptic pregnancies.
199393
6 201447
7 201542
8 201532
9 201427
10 201026
11 201621
12 201519
13 201518
14 201516
15 198916
16 201515
17 201514
18 198814
19 200813
20 198912

About Hirofumi Maeda

Hirofumi Maeda is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Biomedical Engineering, Control and Systems Engineering and Pulmonary and Respiratory Medicine, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Soft Robotics and Applications (7 papers), Stroke Rehabilitation and Recovery (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers), Modular Robots and Swarm Intelligence (4 papers), Robot Manipulation and Learning (4 papers), Cardiovascular Health and Disease Prevention (3 papers), Robotics and Automated Systems (3 papers) and Cerebral Palsy and Movement Disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (287 citations), Cardiology and Cardiovascular Medicine (320 citations), Obstetrics and Gynecology (79 citations), Rehabilitation (36 citations) and Complementary and alternative medicine (40 citations). Hirofumi Maeda has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Hisao Ogawa, Seigo Sugiyama, Eiichi Akiyama, Junichi Matsubara, Koichi Kaikita, Koichi Sugamura, Keisuke Ohba, Hirofumi Kurokawa, Hideaki Jinnouchi and Kunihiko Matsui. Their work appears in journals such as Circulation Journal, Journal of Computer Assisted Tomography, Journal of Cardiology, Journal of the American Heart Association and Journal of the American College of Cardiology.

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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