E. de Nobel

413 citations
10 papers · 310 · h-index 8

Impact in

  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes
    • Diabetes Treatment and Management
    • Diabetes Management and Research
    • Diabetes, Cardiovascular Risks, and Lipoproteins
    • Diabetes Management and Education
    • Hormonal Regulation and Hypertension

Papers in

E. de Nobel

10 papers receiving 291 citations

Peers

E. de Nobel
Comparison fields: 5 of 58
  • Nephrology 75
  • Endocrinology, Diabetes and Metabolism 136
  • Cardiology and Cardiovascular Medicine 63
  • Ophthalmology 17
  • Obstetrics and Gynecology 10
Replace Mohammad A. Siddiqui with:
Mohammad A. Siddiqui India
Toshika Otani Japan
Alejandro Díaz González-Colmenero Mexico
Eugen Moța Romania
M. Ravikiran India
Victoria González‐Nava United States
Massimo Perotto Italy
Miriam Pecis Brazil
R. Boizel France
Maria da Saúde de Oliveira Brazil
E. de Nobel relative to Mohammad A. Siddiqui India Mohammad A. Siddiqui's profile →
Citations per field
00.5×3.4×
Mohammad A. Siddiqui · 1×
Citations per year

Countries citing papers authored by E. de Nobel

Since Specialization
Citations

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

Fields of papers citing papers by E. de Nobel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. de Nobel. 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 E. de Nobel. The network helps show where E. de Nobel may publish in the future.

Co-authors

The 16 scholars most cited alongside E. de Nobel, 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 E. de Nobel Line = papers co-authored together E. de Nobel links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 198972
2 199051
3 199440
4 199338
5 197833
6 199129
7 199222
8 199217
9 19895
10 19943

About E. de Nobel

E. de Nobel is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Nephrology, Molecular Biology and Pharmacology, having authored 10 papers that have together received 310 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), Diabetes Management and Research (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Potassium and Related Disorders (1 paper), Retinal Diseases and Treatments (1 paper), Retinal Imaging and Analysis (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Nephrology (75 citations), Endocrinology, Diabetes and Metabolism (136 citations), Cardiology and Cardiovascular Medicine (63 citations), Ophthalmology (17 citations) and Obstetrics and Gynecology (10 citations). E. de Nobel has collaborated with scholars based in Netherlands. Frequent co-authors include L.D. Elving, A. van ‘t Laar, Jack F.M. Wetzels, Jo H. M. Berden, Chris van Weel, J. A. J. M. Bakkeren, Merel Jansen, Guy E.H.M. Rutten, Henk J.J. van Lier and Martha T. van der Beek. Their work appears in journals such as Diabetologia, Family Practice, American Journal of Kidney Diseases, The Journal of Clinical Pharmacology and Scandinavian Journal of Primary Health Care.

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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