Ph. De Nayer

979 citations
25 papers · 739 indexed · h-index 12

Impact in

Papers in

Ph. De Nayer

25 papers receiving 668 citations

Peers

Ph. De Nayer
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 322
  • Nephrology 53
  • Obstetrics and Gynecology 53
  • Physiology 143
  • Nutrition and Dietetics 79
Replace Henry C. Ford with:
Henry C. Ford New Zealand
Robert A. Ulstrom United States
Johan Iversen Denmark
Maurice D. Kogut United States
Joel M. Goldman United States
Philip M. LeCompte United States
H Lestradet France
P. C. Ganguli United Kingdom
Piotr Fichna Poland
J. Nerup Denmark
Ph. De Nayer relative to Henry C. Ford New Zealand Henry C. Ford's profile →
Citations per field
00.5×1.5×1.8×
Henry C. Ford · 1×
Citations per year

Countries citing papers authored by Ph. De Nayer

Since Specialization
Citations

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

Fields of papers citing papers by Ph. De Nayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ph. De Nayer. 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 Ph. De Nayer. The network helps show where Ph. De Nayer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199383
2 1993102
3 19924
4 199117
5 19894
6 198711
7 19826
8 19829
9 19812
10 1980127
11 197924
12 19784
13 19782
14 19753
15 19751
16 197427
17 196813
18 196613
19 196611
20 196625

About Ph. De Nayer

Ph. De Nayer is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Cell Biology, Endocrine and Autonomic Systems and Obstetrics and Gynecology, having authored 25 papers that have together received 739 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (11 papers), Metabolism and Genetic Disorders (3 papers), Muscle metabolism and nutrition (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Pregnancy and preeclampsia studies (2 papers), Neonatal Health and Biochemistry (2 papers), Hemoglobin structure and function (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (322 citations), Nephrology (53 citations), Obstetrics and Gynecology (53 citations), Physiology (143 citations) and Nutrition and Dietetics (79 citations). Ph. De Nayer has collaborated with scholars based in Belgium, France and Senegal. Frequent co-authors include Yves Ingenbleek, M. De Visscher, Bernard Lejeune, Daniel Glinoer, Béatrice Dozin, J. Kinthaert, Sylvain Meuris, C. Robyn, P Malvaux and Christian Beckers. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hormone and Metabolic Research, The Lancet, European Journal of Clinical Investigation and FEBS Letters.

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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