E Schönle

738 citations
8 papers · 494 · h-index 6

Impact in

Papers in

E Schönle

8 papers receiving 489 citations

Peers

E Schönle
Comparison fields: 5 of 51
  • Endocrinology, Diabetes and Metabolism 364
  • Genetics 208
  • Pediatrics, Perinatology and Child Health 71
  • Endocrine and Autonomic Systems 24
  • Surgery 111
Replace N Etavard-Gorris with:
N Etavard-Gorris Germany
M A Satta Italy
Judith Brownell Netherlands
James Ahlquist United Kingdom
Christina Wei United Kingdom
Sjoerd D. Joustra Netherlands
Efthymia Melista United States
Eva Grenbäck Sweden
Noah Hardy France
E Schönle relative to N Etavard-Gorris Germany N Etavard-Gorris's profile →
Citations per field
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N Etavard-Gorris · 1×
Citations per year

Countries citing papers authored by E Schönle

Since Specialization
Citations

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

Fields of papers citing papers by E Schönle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2004208
2 2004188
3 200051
4 199716
5 201015
6 200912
7
[Detection of RET-proto-oncogene mutations in the diagnosis of Type 2 endocrine neoplasia (MEN 2)].
19963
8
[Feminizing testicular Leydig cell tumor. Case contribution to the differential diagnosis of gynecomastia].
19811

About E Schönle

E Schönle is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Genetics and Genetics, having authored 8 papers that have together received 494 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Diabetes Management and Research (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Diabetes and associated disorders (2 papers), Glioma Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (364 citations), Genetics (208 citations), Pediatrics, Perinatology and Child Health (71 citations), Endocrine and Autonomic Systems (24 citations) and Surgery (111 citations). E Schönle has collaborated with scholars based in Switzerland, United Kingdom and Denmark. Frequent co-authors include Karin Ribi, Andrea Poretti, Eugen Boltshauser, Michael A. Grotzer, M. Zachmann, Valeria Brunelli, Silvia Einaudi, Maguelone G. Forest, Anna Biason‐Lauber and Michael B. Ranke. Their work appears in journals such as Developmental Medicine & Child Neurology, BMC Endocrine Disorders, PROTEOMICS - CLINICAL APPLICATIONS, The Journal of Clinical Endocrinology & Metabolism and Medical and Pediatric Oncology.

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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