Stephan Scharla

44 papers receiving 938 citations

Peers

Stephan Scharla
Comparison fields: 5 of 93
  • Orthopedics and Sports Medicine 290
  • Nephrology 127
  • Pathology and Forensic Medicine 199
  • Endocrinology, Diabetes and Metabolism 178
  • Reproductive Medicine 75
Replace E. Van Herck with:
E. Van Herck Belgium
Janez Preželj Slovenia
Nicholas J. Berg United States
P Broulík Czechia
Ulrike Hügel Germany
Alan Hamstra United States
F.C. Logue United Kingdom
Joel L. Ivey United States
Carlos Encinas Dominguez United States
E Slatopolsky United States
Stephan Scharla relative to E. Van Herck Belgium E. Van Herck's profile →
Citations per field
00.5×1.6×
E. Van Herck · 1×
Citations per year

Countries citing papers authored by Stephan Scharla

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Scharla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephan Scharla, 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 Stephan Scharla Line = papers co-authored together Stephan Scharla 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 1998172
2 201898
3 199198
4 198891
5 198471
6 199068
7 198956
8 199348
9 198443
10 199426
11 200626
12 199323
13
Alfacalcidol versus plain vitamin D in inflammation induced bone loss.
200522
14 198818
15 198914
16 199512
17 198912
18 199110
19 199110
20
Diagnosis of disorders of vitamin D-metabolism and osteomalacia.
20088

About Stephan Scharla

Stephan Scharla is a scholar working on Oncology, Pathology and Forensic Medicine, Orthopedics and Sports Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 49 papers that have together received 984 indexed citations. Recurring topics across this work include Bone health and treatments (21 papers), Bone health and osteoporosis research (17 papers), Vitamin D Research Studies (17 papers), Bone Metabolism and Diseases (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Parathyroid Disorders and Treatments (5 papers), Endometriosis Research and Treatment (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (290 citations), Nephrology (127 citations), Pathology and Forensic Medicine (199 citations), Endocrinology, Diabetes and Metabolism (178 citations) and Reproductive Medicine (75 citations). Stephan Scharla has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Reinhard Ziegler, H. W. Minne, Subburaman Mohan, Thomas A. Linkhart, Donna D. Strong, H. Schmidt‐Gayk, R. Ziegler, Christa Scheidt‐Nave, Andreas Grauer and Albert Gollhofer. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Calcified Tissue International, Endocrinology and Clinica Chimica Acta.

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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