Takashi Shindo

1.5k citations
42 papers · 1.1k indexed · h-index 10

Takashi Shindo

42 papers receiving 1.0k citations

Peers

Takashi Shindo
Comparison fields: 5 of 77
  • Cardiology and Cardiovascular Medicine 497
  • Pathology and Forensic Medicine 388
  • Developmental Neuroscience 68
  • Emergency Medicine 136
  • Radiology, Nuclear Medicine and Imaging 222
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Jun Asayama Japan
J. Craig Hartman United States
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Citations per year

Countries citing papers authored by Takashi Shindo

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Shindo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 20051
3 20054
4
Phase I study of the novel oral steroidal antiestrogenic agent TAS-108, ascending single dose, safety, tolerance, and pharmacokinetic parameters in healthy postmenopausal women
20011
5 200010
6 19992
7 199863
8 199872
9
[Risk of side branch occlusion after coronary Palmaz-Schatz stenting].
199711
10 19964
11
Pharmacokinetic Studies on Propiverine Hydrochloride. Metabolites in Urinary Bladder, Other Tissues and Urine of Rats.:Metabolites in Urinary Bladder, Other Tissues and Urine of Rats
19952
12
Pharmacokinetic studies of MPC-1304 (4) - Dose response, animal differences, protein binding
19931
13 199297
14 1991182
15 19901
16 19894
17 19802
18 19791
19 19795
20 19763

About Takashi Shindo

Takashi Shindo is a scholar working on Pharmacology, Pharmacology and Analytical Chemistry, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Cardiac Imaging and Diagnostics (5 papers), Cardiac Ischemia and Reperfusion (5 papers), Analytical Methods in Pharmaceuticals (4 papers), Cardiac Arrest and Resuscitation (4 papers), Inflammatory mediators and NSAID effects (4 papers), Pharmacology and Obesity Treatment (3 papers) and Coronary Interventions and Diagnostics (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (497 citations), Pathology and Forensic Medicine (388 citations) and Developmental Neuroscience (68 citations). Takashi Shindo has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Yoshiyuki Horio, Mitsuhiko Yamada, Y Kurachi, Chikako Kondo, S Isomoto, Sayuri Matsumoto, Hideyuki Nosaka, Naoya Hamasaki, Takeshi Kimura and Hiroatsu Yokoi. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and The Journal of Physiology.

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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