Winnie Pradel

1.1k total citations
37 papers, 788 citations indexed

About

Winnie Pradel is a scholar working on Oral Surgery, Surgery and Genetics. According to data from OpenAlex, Winnie Pradel has authored 37 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oral Surgery, 13 papers in Surgery and 12 papers in Genetics. Recurrent topics in Winnie Pradel's work include Cleft Lip and Palate Research (12 papers), Craniofacial Disorders and Treatments (10 papers) and Dental Implant Techniques and Outcomes (8 papers). Winnie Pradel is often cited by papers focused on Cleft Lip and Palate Research (12 papers), Craniofacial Disorders and Treatments (10 papers) and Dental Implant Techniques and Outcomes (8 papers). Winnie Pradel collaborates with scholars based in Germany, Switzerland and United Kingdom. Winnie Pradel's co-authors include Günter Lauer, Uwe Eckelt, Georg M. Lauer, R. Mai, Tomasz Gedrange, Bernd Stadlinger, Matthias Schneider, Peter Proff, Ursula Range and Michael Gelinsky and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Oral and Maxillofacial Surgery and Head & Neck.

In The Last Decade

Winnie Pradel

34 papers receiving 770 citations

Peers

Winnie Pradel
Comparison fields: 5 of 75
  • Surgery 387
  • Oral Surgery 271
  • Genetics 185
  • Biomedical Engineering 185
  • Urology 123
Replace John F. Caccamese with:
John F. Caccamese United States
Kaan Yerit Austria
Lorenzo Trevisiol Italy
Wolfgang Puelacher Austria
A. Gleizal France
Philipp Stockmann Germany
Paul Schumann Germany
H A Merten Germany
B. Laure France
Ting‐Ling Chang United States
John F. Caccamese United States View profile →
Citations per field, relative to Winnie Pradel
Winnie Pradel · 1×
Citations per year, relative to Winnie Pradel
Winnie Pradel · 1×

Countries citing papers authored by Winnie Pradel

Since Specialization
Citations

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

Fields of papers citing papers by Winnie Pradel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Winnie Pradel

This figure shows the co-authorship network connecting the top 25 collaborators of Winnie Pradel. A scholar is included among the top collaborators of Winnie Pradel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Winnie Pradel. Winnie Pradel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 26
3 0
4 23
5 54
6 16
7 28
8 51
9 10
10 12
11 11
12 38
13 11
14 30
15 54
16 6
17 12
18 24
19 1
20 27

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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