Agneta Hilding

5.2k citations
59 papers · 2.9k · h-index 35

Impact in

Papers in

Agneta Hilding

59 papers receiving 2.9k citations

Peers

Agneta Hilding
Comparison fields: 5 of 115
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Speech and Hearing 349
  • Genetics 431
  • Physiology 311
  • Endocrine and Autonomic Systems 81
Replace Mette Kildevæld Simonsen with:
Mette Kildevæld Simonsen Denmark
Naoakira Niino Japan
David A. Ehrmann United States
Sirimon Reutrakul United States
J. Kratzsch Germany
MaryFran R. Sowers United States
Kathleen E. Bainbridge United States
Yasuki Higaki Japan
Heikki Tikkanen Finland
William T. Dahms United States
Agneta Hilding relative to Mette Kildevæld Simonsen Denmark Mette Kildevæld Simonsen's profile →
Citations per field
00.5×4.9×
Mette Kildevæld Simonsen · 1×
Citations per year

Countries citing papers authored by Agneta Hilding

Since Specialization
Citations

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

Fields of papers citing papers by Agneta Hilding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999164
2 2008152
3 2011113
4 2004111
5 2012110
6 2007107
7 2002106
8 1995105
9 2013103
10 2015101
11 201490
12 200090
13 199986
14 200876
15 201671
16 201070
17 201067
18 201267
19 200461
20 200661

About Agneta Hilding

Agneta Hilding is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics and Surgery, having authored 59 papers that have together received 2.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (23 papers), Metabolism, Diabetes, and Cancer (9 papers), Lipid metabolism and disorders (9 papers), Genetic Syndromes and Imprinting (6 papers), Noise Effects and Management (5 papers), Pancreatic function and diabetes (5 papers), Pituitary Gland Disorders and Treatments (4 papers) and Schizophrenia research and treatment (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Speech and Hearing (349 citations), Genetics (431 citations), Physiology (311 citations) and Endocrine and Autonomic Systems (81 citations). Agneta Hilding has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Claes‐Göran Östenson, Suad Efendić, Kerstin Brismar, Marja Thorén, Kerstin Hall, Anna-Karin Eriksson, Göran Pershagen, Charlotta Eriksson, M. Thorén and K. Hall. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetologia, Diabetic Medicine, Growth Hormone & IGF Research and European Journal of Endocrinology.

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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