J. Nerup

2.2k citations
49 papers · 2k · h-index 21

Impact in

Papers in

J. Nerup

49 papers receiving 1.8k citations

Peers

J. Nerup
Comparison fields: 5 of 74
  • Genetics 1.2k
  • Endocrinology, Diabetes and Metabolism 207
  • Surgery 388
  • Immunology 102
  • Rheumatology 52
Replace Betty M. Dean with:
Betty M. Dean United Kingdom
Huckaby Lewis United Kingdom
Jozef Laureys Belgium
Katherine J. Barriga United States
Kathleen Waugh United States
K. B. Taylor United Kingdom
Fránco Cerutti Italy
Maria Luisa Manca Bitti Italy
Jennifer M. Barker United States
Giovanni Marietti Italy
J. Nerup relative to Betty M. Dean United Kingdom Betty M. Dean's profile →
Citations per field
00.5×1.5×2×2.4×
Betty M. Dean · 1×
Citations per year

Countries citing papers authored by J. Nerup

Since Specialization
Citations

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

Fields of papers citing papers by J. Nerup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987284
2 1995182
3 1990173
4 1994126
5
Mechanisms of pancreatic beta-cell destruction in type I diabetes.
1989124
6 2001122
7 200684
8 199178
9 198370
10 198565
11 199858
12 200155
13 198450
14 198546
15 198239
16 198339
17 198236
18 199032
19 199627
20 198725

About J. Nerup

J. Nerup is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Surgery, Ophthalmology and Pediatrics, Perinatology and Child Health, having authored 49 papers that have together received 2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (36 papers), Genetic Associations and Epidemiology (13 papers), Pancreatic function and diabetes (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Thyroid Disorders and Treatments (2 papers), Down syndrome and intellectual disability research (1 paper), Heat shock proteins research (1 paper) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Genetics (1.2k citations), Endocrinology, Diabetes and Metabolism (207 citations), Surgery (388 citations), Immunology (102 citations) and Rheumatology (52 citations). J. Nerup has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Thomas R Mandrup-Poulsen, Charles Anthony Dinarello, Klaus Bendtzen, Flemming Pociot, Steffen Helqvist, Lise Wogensen, Jens Mølvig, Birgitte Marner, Jesper Johannesen and David Owerbach. Their work appears in journals such as Diabetologia, The Lancet, Diabetic Medicine, Diabetes and Hormone and Metabolic 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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