H. Iwane

35 papers receiving 607 citations

Peers

H. Iwane
Comparison fields: 5 of 97
  • Complementary and alternative medicine 221
  • Orthopedics and Sports Medicine 113
  • Rehabilitation 81
  • Physiology 167
  • Cardiology and Cardiovascular Medicine 127
Replace Frank H. Fu with:
Frank H. Fu Hong Kong
M G Everitt United Kingdom
Jessica R. Meendering United States
John J. Duncan United States
L. Vanhees Belgium
Artur Mamcarz Poland
P. Oja Finland
Antônio Marcos Vargas da Silva Brazil
Mads Rosenkilde Denmark
Rebecca Pollard United States
H. Iwane relative to Frank H. Fu Hong Kong Frank H. Fu's profile →
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Citations per year

Countries citing papers authored by H. Iwane

Since Specialization
Citations

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

Fields of papers citing papers by H. Iwane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996221
2
Exercise for health
199566
3 199965
4 199652
5 199051
6 200048
7 199738
8 199626
9
Experimental studies on aconitine-induced atrial fibrillation with microelectrodes.
196912
10 201111
11 19898
12 19726
13 19946
14
[Left ventricular function after prolonged exercise].
19905
15 19974
16 19934
17
Effects of adenosine and pertussis toxin on lipolysis in adipocytes from exercise-trained male rats.
19893
18 19963
19 19953
20 19952

About H. Iwane

H. Iwane is a scholar working on Complementary and alternative medicine, Physiology, Rehabilitation, Cell Biology and Orthopedics and Sports Medicine, having authored 37 papers that have together received 651 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (13 papers), Sports Performance and Training (7 papers), Exercise and Physiological Responses (7 papers), Muscle metabolism and nutrition (6 papers), Thermoregulation and physiological responses (3 papers), Adipose Tissue and Metabolism (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Complementary and alternative medicine (221 citations), Orthopedics and Sports Medicine (113 citations), Rehabilitation (81 citations), Physiology (167 citations) and Cardiology and Cardiovascular Medicine (127 citations). H. Iwane has collaborated with scholars based in Japan, Vietnam and United States. Frequent co-authors include Teruichi Shimomitsu, Toshihito Katsumura, Norio Murase, Takafumi Hamaoka, Takuya Osada, Yuko Kurosawa, B. Chance, Shin Nishio, Yukari Kawai and Yoshikazu Takanami. Their work appears in journals such as Medicine & Science in Sports & Exercise, Sports Medicine, Journal of Applied Physiology, The Physician and Sportsmedicine and Bulletin of the World Health Organization.

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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