J.W. Persaud

605 citations
21 papers · 490 · h-index 14

Impact in

Papers in

J.W. Persaud

21 papers receiving 463 citations

Peers

J.W. Persaud
Comparison fields: 5 of 62
  • Nephrology 177
  • Endocrinology, Diabetes and Metabolism 161
  • Transplantation 19
  • Clinical Biochemistry 47
  • Surgery 177
Replace Keane Wf with:
Keane Wf United States
C Cachera France
Kaihui Liang United States
U Neyer Austria
Evi Trenkwalder Austria
B. O'Connor United Kingdom
Alberto Casaretto United States
Annette Krämer‐Guth Germany
Won Ki Min South Korea
Christian Demers Canada
J.W. Persaud relative to Keane Wf United States Keane Wf's profile →
Citations per field
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Citations per year

Countries citing papers authored by J.W. Persaud

Since Specialization
Citations

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

Fields of papers citing papers by J.W. Persaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.W. Persaud. 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 J.W. Persaud. The network helps show where J.W. Persaud may publish in the future.

Co-authors

The 25 scholars most cited alongside J.W. Persaud, 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 J.W. Persaud Line = papers co-authored together J.W. Persaud 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 198498
2 198158
3 199240
4 199134
5 199033
6 199127
7
Apolipoprotein B turnover in dialysis patients: its relationship to pathogenesis of hyperlipidemia.
198927
8 199322
9 198420
10 198219
11 201118
12 197116
13 198016
14 198214
15
Partial lecithin:cholesterol acyltransferase (LCAT) deficiency in Balkan endemic nephropathy.
199112
16 19869
17 20177
18 19817
19 19836
20 20016

About J.W. Persaud

J.W. Persaud is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Nephrology, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 21 papers that have together received 490 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Metabolism and Genetic Disorders (3 papers), Muscle metabolism and nutrition (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Nephrology (177 citations), Endocrinology, Diabetes and Metabolism (161 citations), Transplantation (19 citations), Clinical Biochemistry (47 citations) and Surgery (177 citations). J.W. Persaud has collaborated with scholars based in United Kingdom, Hong Kong and China. Frequent co-authors include Man K. Chan, Zac Varghese, J.F. Moorhead, John F. Moorhead, Zachariah Varghese, J F Moorhead, P. Sweny, David C. Wheeler, R. A. Baillod and Z. Varghese. Their work appears in journals such as Clinica Chimica Acta, Nephrology Dialysis Transplantation, Kidney International, ˜The œNephron journals/Nephron journals and International Journal of Clinical Practice.

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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