Julia Eberle

38 papers receiving 938 citations

Peers

Julia Eberle
Comparison fields: 5 of 123
  • Endocrinology, Diabetes and Metabolism 223
  • Pulmonary and Respiratory Medicine 368
  • Nephrology 77
  • Orthopedics and Sports Medicine 61
  • Urology 41
Replace Gábor Kovács with:
Gábor Kovács Hungary
Yang‐Min Ning United States
Sebastian Seitz Germany
K. Sean Kimbro United States
Satu Helske Finland
Louise Izatt United Kingdom
Rebecca Ganetzky United States
Karen A. Autio United States
Stephen Ryan United States
Martin Buess Switzerland
Julia Eberle relative to Gábor Kovács Hungary Gábor Kovács's profile →
Citations per field
00.5×3.8×
Gábor Kovács · 1×
Citations per year

Countries citing papers authored by Julia Eberle

Since Specialization
Citations

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

Fields of papers citing papers by Julia Eberle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993337
2 199992
3 201280
4 202159
5
Point mutation in the DNA binding domain of the androgen receptor in two families with Reifenstein syndrome.
199253
6 201438
7 199036
8 200533
9 199324
10 199423
11 200323
12 200919
13 200116
14 200415
15 201815
16 199314
17 202112
18 202110
19 201710
20 20209

About Julia Eberle

Julia Eberle is a scholar working on Developmental and Educational Psychology, Public Health, Environmental and Occupational Health, Surgery, Molecular Biology and Oncology, having authored 42 papers that have together received 969 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (7 papers), Cutaneous Melanoma Detection and Management (4 papers), Health and Medical Research Impacts (4 papers), Online and Blended Learning (4 papers), Urological Disorders and Treatments (4 papers), Doctoral Education Challenges and Solutions (4 papers), Motivation and Self-Concept in Sports (3 papers) and Sexual Differentiation and Disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (223 citations), Pulmonary and Respiratory Medicine (368 citations), Nephrology (77 citations), Orthopedics and Sports Medicine (61 citations) and Urology (41 citations). Julia Eberle has collaborated with scholars based in Germany, Austria and France. Frequent co-authors include Helmut Klocker, G. Bartsch, Christian Radmayr, Zoran Čulig, Alfred Hobisch, Andrew C.B. Cato, Marcus V. Cronauer, A Hittmair, M. Stangassinger and Reinhold G. Erben. Their work appears in journals such as International Journal of Computer-Supported Collaborative Learning, British Journal of Educational Technology, World Journal of Urology, International Orthopaedics and Molecular Endocrinology.

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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