J. Hangaard

38 total papers · 714 total citations
27 papers, 553 citations indexed

About

J. Hangaard is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, J. Hangaard has authored 27 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Endocrine and Autonomic Systems and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in J. Hangaard's work include Growth Hormone and Insulin-like Growth Factors (6 papers), Pituitary Gland Disorders and Treatments (5 papers) and Regulation of Appetite and Obesity (4 papers). J. Hangaard is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (6 papers), Pituitary Gland Disorders and Treatments (5 papers) and Regulation of Appetite and Obesity (4 papers). J. Hangaard collaborates with scholars based in Denmark, Belgium and United States. J. Hangaard's co-authors include Claus Hagen, René Klinkby Støving, Marianne Andersen, Ole Koldkjær, Ellen Grodum, B Nørgaard‐Pedersen, Per Hyltoft Petersen, Torben Bæk Hansen, Dorte Glintborg and Klaus Brusgaard and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Chemistry and BJOG An International Journal of Obstetrics & Gynaecology.

In The Last Decade

J. Hangaard

27 papers receiving 534 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
J. Hangaard	240	110	106	79	76	27	553
Jørgen Hangaard	234 1.0×	100 0.9×	75 0.7×	77 1.0×	53 0.7×	21	542
Konstantinos Christou	148 0.6×	60 0.5×	65 0.6×	88 1.1×	132 1.7×	35	683
Michael Schaab	158 0.7×	35 0.3×	162 1.5×	70 0.9×	158 2.1×	18	594
Luis Lima	419 1.7×	35 0.3×	130 1.2×	86 1.1×	136 1.8×	26	629
Judith Balk	82 0.3×	47 0.4×	79 0.7×	29 0.4×	57 0.8×	20	693
Maria Rosa Valetto	295 1.2×	36 0.3×	259 2.4×	93 1.2×	190 2.5×	26	559
Balasubramanian Srilatha	187 0.8×	48 0.4×	87 0.8×	70 0.9×	70 0.9×	25	519
Madhuja Mallick	98 0.4×	34 0.3×	103 1.0×	49 0.6×	98 1.3×	20	504
Hana Zamrazilová	111 0.5×	26 0.2×	135 1.3×	79 1.0×	171 2.3×	39	553
H. Brauman	225 0.9×	63 0.6×	44 0.4×	63 0.8×	84 1.1×	41	646

Countries citing papers authored by J. Hangaard

Since Specialization

Citations

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

Fields of papers citing papers by J. Hangaard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Hangaard

This figure shows the co-authorship network connecting the top 25 collaborators of J. Hangaard. A scholar is included among the top collaborators of J. Hangaard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Hangaard. J. Hangaard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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