A Y Foo

29 papers receiving 799 citations

Peers

A Y Foo
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 298
  • Orthopedics and Sports Medicine 148
  • Nephrology 81
  • Rheumatology 157
  • Hepatology 81
Replace Kimitaka Takitani with:
Kimitaka Takitani Japan
Mohsen Elshahaly Egypt
Gabriela Angélica Martínez‐Nava Mexico
Chiara Vaccaro Italy
Howard Sussman United States
Sergio Sánchez‐Enríquez Mexico
G Wolf Germany
Salih Deveci Türkiye
Zhengtao Liu China
A Y Foo relative to Kimitaka Takitani Japan Kimitaka Takitani's profile →
Citations per field
00.5×6.8×
Kimitaka Takitani · 1×
Citations per year

Countries citing papers authored by A Y Foo

Since Specialization
Citations

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

Fields of papers citing papers by A Y Foo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A Y Foo. 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 A Y Foo. The network helps show where A Y Foo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984226
2 1982163
3 1993101
4 199850
5 198744
6 197932
7
Creatine kinase determination: a European evaluation of the creatine kinase determination in serum, plasma and whole blood with the Reflotron system.
199132
8 198723
9 198420
10 198919
11 198618
12 198517
13 197814
14 197714
15 202412
16 198012
17 199510
18 19939
19 19919
20 19818

About A Y Foo

A Y Foo is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Oncology and Nephrology, having authored 29 papers that have together received 858 indexed citations. Recurring topics across this work include Alkaline Phosphatase Research Studies (12 papers), Pancreatitis Pathology and Treatment (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Parathyroid Disorders and Treatments (3 papers), Bone health and treatments (3 papers), Biochemical and Molecular Research (3 papers), Enzyme Production and Characterization (3 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (298 citations), Orthopedics and Sports Medicine (148 citations), Nephrology (81 citations), Rheumatology (157 citations) and Hepatology (81 citations). A Y Foo has collaborated with scholars based in United Kingdom, Denmark and Australia. Frequent co-authors include S B Rosalki, Owen Epstein, Sheila Sherlock, Gerond Lake‐Bakaar, R Chapman, Sidney B. Rosalki, P Stieber, M. Hjelm, G. Klein and Heinz Bodenmüller. Their work appears in journals such as Clinical Chemistry, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Journal of Clinical Pathology, Scandinavian Journal of Clinical and Laboratory Investigation and Electrophoresis.

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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