Lene Heickendorff

9.5k citations
158 papers · 6.7k · h-index 51

Impact in

Papers in

Lene Heickendorff

155 papers receiving 6.5k citations

Peers

Lene Heickendorff
Comparison fields: 5 of 138
  • Nephrology 1.2k
  • Pathology and Forensic Medicine 1.7k
  • Orthopedics and Sports Medicine 633
  • Hematology 602
  • Dermatology 334
Replace Murray B. Urowitz with:
Murray B. Urowitz Canada
Gwan Gyu Song South Korea
Chi Chiu Mok China
Frederick R. Singer United States
Jan Damoiseaux Netherlands
Pnina Langevitz Israel
Louis A. Healey United States
Adriana Dusso United States
Gisele Zandman‐Goddard Israel
Marie B. Demay United States
Lene Heickendorff relative to Murray B. Urowitz Canada Murray B. Urowitz's profile →
Citations per field
00.5×3.3×
Murray B. Urowitz · 1×
Citations per year

Countries citing papers authored by Lene Heickendorff

Since Specialization
Citations

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

Fields of papers citing papers by Lene Heickendorff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016237
2 2005206
3 1997199
4 2000150
5 1996147
6 2005143
7 2011141
8 2001130
9 2014130
10 2000119
11 2013116
12 2010114
13 2008112
14 2015108
15 1989104
16 2008103
17 200494
18 200193
19 200292
20 200091

About Lene Heickendorff

Lene Heickendorff is a scholar working on Pathology and Forensic Medicine, Nephrology, Genetics, Oncology and Hematology, having authored 158 papers that have together received 6.7k indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (28 papers), Vitamin D Research Studies (20 papers), Bone health and treatments (15 papers), Bone health and osteoporosis research (13 papers), Multiple Myeloma Research and Treatments (11 papers), Systemic Sclerosis and Related Diseases (11 papers), Proteoglycans and glycosaminoglycans research (10 papers) and Protease and Inhibitor Mechanisms (9 papers). The work is most often cited by research in Nephrology (1.2k citations), Pathology and Forensic Medicine (1.7k citations), Orthopedics and Sports Medicine (633 citations), Hematology (602 citations) and Dermatology (334 citations). Lene Heickendorff has collaborated with scholars based in Denmark, United Kingdom and Norway. Frequent co-authors include Leif Mosekilde, Peter Vestergaard, Lars Rejnmark, Kim Brixen, Peer Christiansen, H Zachariae, Jes S. Lindholt, Tanja Sikjær, Niels Abildgaard and Lars Melholt Rasmussen. Their work appears in journals such as Clinical Endocrinology, European Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Acta Dermato Venereologica and European Journal of Vascular and Endovascular Surgery.

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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