Ph. De Nayer

979 citations
25 papers · 736 · h-index 12

Impact in

Papers in

Ph. De Nayer

25 papers receiving 665 citations

Peers

Ph. De Nayer
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 321
  • Nephrology 46
  • Obstetrics and Gynecology 39
  • Physiology 135
  • Clinical Biochemistry 32
Replace Maurice D. Kogut with:
Maurice D. Kogut United States
H Lestradet France
P. C. Ganguli United Kingdom
Johan Iversen Denmark
F. T. G. Prunty United Kingdom
Shiva Reddy New Zealand
Avraham Golander Israel
Rector Arya United States
J. Nerup Denmark
Joel M. Goldman United States
Ph. De Nayer relative to Maurice D. Kogut United States Maurice D. Kogut's profile →
Citations per field
00.5×3.3×
Maurice D. Kogut · 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-authors

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

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972205
2 1980127
3 1993103
4 199383
5 197427
6 196625
7 197924
8 197821
9 199117
10 196813
11 196613
12 196611
13 198711
14 197410
15 19829
16 19808
17 19826
18 19894
19 19784
20 19924

About Ph. De Nayer

Ph. De Nayer is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cell Biology, Physiology and Clinical Biochemistry, having authored 25 papers that have together received 736 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (11 papers), Muscle metabolism and nutrition (3 papers), Metabolism and Genetic Disorders (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Hormonal and reproductive studies (2 papers), Neonatal Health and Biochemistry (2 papers), Hemoglobin structure and function (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (321 citations), Nephrology (46 citations), Obstetrics and Gynecology (39 citations), Physiology (135 citations) and Clinical Biochemistry (32 citations). Ph. De Nayer has collaborated with scholars based in Belgium, France and Senegal. Frequent co-authors include Yves Ingenbleek, M. De Visscher, Daniel Glinoer, Bernard Lejeune, J. Kinthaert, Sylvain Meuris, P Malvaux, Christian Beckers, Birgit Durieux and Paul J. Van Cangh. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Hormone and Metabolic Research, European Journal of Clinical Investigation, The Lancet and Pediatric Research.

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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