Paul Fu

11.1k citations
59 papers · 9.6k · 1 hit paper · h-index 24

Impact in

Papers in

Paul Fu

58 papers receiving 8.8k citations

Paul Fu's Hit Papers

Enzymatic Determination of Total Serum Cholesterol 1974 · 7.9k citations
7.9k0+17+34Years since publication2.5k5.0k7.5k

Peers

Paul Fu
Comparison fields: 5 of 174
  • Endocrinology, Diabetes and Metabolism 2.5k
  • Biochemistry 655
  • Nutrition and Dietetics 1.4k
  • Pharmacology 756
  • Biochemistry 510
Replace W. Richmond with:
W. Richmond United Kingdom
Lindsay Brown Australia
Émile Lévy Canada
H. Hendriks Netherlands
Sushil K. Jain United States
Arrigo F.G. Cicero Italy
Makoto Makishima Japan
Cesare R. Sirtori Italy
Gérard Siest France
Jorge Joven Spain
Paul Fu relative to W. Richmond United Kingdom W. Richmond's profile →
Citations per field
00.5×1.5×
W. Richmond · 1×
Citations per year

Countries citing papers authored by Paul Fu

Since Specialization
Citations

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

Fields of papers citing papers by Paul Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enzymatic Determination of Total Serum Cholesterol
Hit paper breakdown →
19747946
2 1995149
3 2000148
4 1993128
5 198978
6 200066
7 200252
8 197651
9 199649
10
Tau protein in cerebrospinal fluid as an aid in the diagnosis of Alzheimer's disease.
199548
11 201344
12 198443
13 201142
14 199541
15 200041
16 200839
17 200834
18 201233
19 200030
20 201029

About Paul Fu

Paul Fu is a scholar working on Pathology and Forensic Medicine, Epidemiology, Molecular Biology, Physiology and Surgery, having authored 59 papers that have together received 9.6k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (13 papers), Liver Disease Diagnosis and Treatment (8 papers), Electronic Health Records Systems (4 papers), Diet and metabolism studies (4 papers), Bipolar Disorder and Treatment (4 papers), Acute Ischemic Stroke Management (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Tracheal and airway disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.5k citations), Biochemistry (655 citations), Nutrition and Dietetics (1.4k citations), Pharmacology (756 citations) and Biochemistry (510 citations). Paul Fu has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include W. Richmond, Samuel W. French, Magnus Ingelman‐Sundberg, B.A. French, Emanuele Albano, Barbara A. French, Yu‐Jui Yvonne Wan, J. Li, Fawzia Bardag‐Gorce and Yuchuan Ding. Their work appears in journals such as Experimental and Molecular Pathology, Neurological Research, Biological Psychiatry, The Annals of Thoracic Surgery and Journal of Medical Systems.

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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