Keizo Kimura

52 papers receiving 1.1k citations

Peers

Keizo Kimura
Comparison fields: 5 of 92
  • Endocrine and Autonomic Systems 125
  • Cardiology and Cardiovascular Medicine 294
  • Radiology, Nuclear Medicine and Imaging 252
  • Surgery 460
  • Physiology 249
Replace Thomas Podzuweit with:
Thomas Podzuweit Germany
R. Fernández‐Durango Spain
S Tadjkarimi United Kingdom
C L Seidel United States
Osami Kohmoto Japan
Santiago Camacho United States
Barbara L. Storer United States
J Spadaro Brazil
Paul Fransen Belgium
István Szokodi Hungary
Keizo Kimura relative to Thomas Podzuweit Germany Thomas Podzuweit's profile →
Citations per field
00.5×4.6×
Thomas Podzuweit · 1×
Citations per year

Countries citing papers authored by Keizo Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Keizo Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000136
2 2011127
3 199798
4 199894
5 201268
6 200062
7 201044
8 200044
9 201037
10 200132
11 201129
12 201129
13 199728
14 200227
15 201224
16 199923
17 201123
18 200321
19
Efficacy of sucralfate in the prevention of recurrence of peptic ulcer--double blind multicenter study with cimetidine.
198721
20 199711

About Keizo Kimura

Keizo Kimura is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (10 papers), Coronary Interventions and Diagnostics (10 papers), Nitric Oxide and Endothelin Effects (7 papers), Neuropeptides and Animal Physiology (5 papers), Electron Spin Resonance Studies (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Advanced MRI Techniques and Applications (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (125 citations), Cardiology and Cardiovascular Medicine (294 citations), Radiology, Nuclear Medicine and Imaging (252 citations), Surgery (460 citations) and Physiology (249 citations). Keizo Kimura has collaborated with scholars based in Japan, Sweden and United States. Frequent co-authors include Ichiro Nishio, Kazushi Tsuda, Yoshiaki Masuyama, Yasushi Ino, Takashi Kubo, Takashi Tanimoto, Kenichi Komukai, Takashi Akasaka, Toshio Imanishi and Atsushi Tanaka. Their work appears in journals such as Journal of Hypertension, Biochemical and Biophysical Research Communications, Regulatory Peptides, Clinical and Experimental Pharmacology and Physiology and JACC: Cardiovascular Interventions.

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