F. WADA

442 citations
21 papers · 364 · h-index 9

Impact in

Papers in

F. WADA

17 papers receiving 329 citations

Peers

F. WADA
Comparison fields: 5 of 70
  • Biochemistry 47
  • Clinical Biochemistry 38
  • Organic Chemistry 132
  • Physiology 55
  • Endocrinology, Diabetes and Metabolism 26
Replace Michiharu Sugiura with:
Michiharu Sugiura Japan
Todd W. Siegel United States
Dawei Yang United States
Ben J. Murray United Kingdom
Bahman M. Sadeghpour Italy
William D. Sweet United States
Magotoshi Morii Japan
Masahiko Ueno Japan
Hartmut Strobel Germany
Jerry J. Baldwin United States
F. WADA relative to Michiharu Sugiura Japan Michiharu Sugiura's profile →
Citations per field
00.5×2×3×3.5×
Michiharu Sugiura · 1×
Citations per year

Countries citing papers authored by F. WADA

Since Specialization
Citations

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

Fields of papers citing papers by F. WADA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1981129
2 197748
3 199430
4 198730
5 197126
6 199424
7 197518
8 199616
9 19839
10 19958
11
Is the Gauer-Henry reflex important for immersion diuresis in men?
19996
12
Damaging effect of peripheral mononuclear cells of dermatomyositis on cultured human skin fibroblasts.
19874
13 19894
14 19873
15 19973
16
THE EFFECT OF OXYGEN GAS PRESSURE ON THE PROPERTIES OF Ph ADDED Ba - FERRITE SPUTTERED FILMS
19953
17
Studies on the inhibitor of acetylcholine synthesis in the serum of patients with myasthenia gravis.
19681
18
19821
19
19821
20
19820

About F. WADA

F. WADA is a scholar working on Orthopedics and Sports Medicine, Cell Biology, Physiology, Biochemistry and Oncology, having authored 21 papers that have together received 364 indexed citations. Recurring topics across this work include Bone health and treatments (3 papers), Bone health and osteoporosis research (3 papers), Magnetic Properties and Applications (2 papers), Muscle metabolism and nutrition (2 papers), Aldose Reductase and Taurine (2 papers), Bone Metabolism and Diseases (2 papers), Biochemical effects in animals (2 papers) and Diet and metabolism studies (1 paper). The work is most often cited by research in Biochemistry (47 citations), Clinical Biochemistry (38 citations), Organic Chemistry (132 citations), Physiology (55 citations) and Endocrinology, Diabetes and Metabolism (26 citations). F. WADA has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tsutomu Matsuda, Kazuhiko Nagira, M Usami, Nozomu Nishi, Yuhsi Matuo, Hiroshi Miyanaka, Yasuko Aoki, Yukiya Sakamoto, Fumihide Isohashi and Masashi Inui. Their work appears in journals such as International Orthopaedics, Tetrahedron, Journal of Biological Chemistry, Analytical Biochemistry and Journal of Applied 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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