Ε. Schoenle

3.1k citations
30 papers · 1.6k · h-index 20

Impact in

Papers in

Ε. Schoenle

29 papers receiving 1.4k citations

Peers

Ε. Schoenle
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 837
  • Genetics 561
  • Clinical Biochemistry 83
  • Physiology 276
  • Surgery 464
Replace Wolfgang Rabl with:
Wolfgang Rabl Germany
T J Merimée United States
R Illig Switzerland
Angelo M. DiGeorge United States
K Zuppinger Switzerland
Harry J. Hirsch Israel
Ζ. Josefsberg Israel
J. van Doorn Netherlands
Daniella Brasacchio Australia
Virginia V. Weldon United States
Ε. Schoenle relative to Wolfgang Rabl Germany Wolfgang Rabl's profile →
Citations per field
00.5×3.5×
Wolfgang Rabl · 1×
Citations per year

Countries citing papers authored by Ε. Schoenle

Since Specialization
Citations

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

Fields of papers citing papers by Ε. Schoenle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002173
2 2006147
3 1979143
4 2007111
5 199198
6 200297
7 200781
8 200871
9 200170
10 197766
11 199364
12 200055
13 200654
14 200550
15 200649
16 197929
17 198327
18 197627
19 199326
20 199525

About Ε. Schoenle

Ε. Schoenle is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Physiology and Surgery, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Sexual Differentiation and Disorders (6 papers), Diabetes Management and Research (5 papers), Adipose Tissue and Metabolism (5 papers), Diabetes and associated disorders (5 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (837 citations), Genetics (561 citations), Clinical Biochemistry (83 citations), Physiology (276 citations) and Surgery (464 citations). Ε. Schoenle has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include J. Zapf, Daniel Konrad, Luciano Molinari, E. R. Froesch, Anna Biason‐Lauber, E. R. Froesch, R. H. Largo, Assaf Rudich, M. Zachmann and Gianpaolo De Filippo. Their work appears in journals such as Diabetologia, European Journal of Pediatrics, Pediatric Research, FEBS Letters and The Journal of Clinical Endocrinology & Metabolism.

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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