Raimund Preidl

39 total papers · 742 total citations
31 papers, 569 citations indexed

About

Raimund Preidl is a scholar working on Surgery, Oncology and Molecular Biology. According to data from OpenAlex, Raimund Preidl has authored 31 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Raimund Preidl's work include Bone health and treatments (8 papers), Bone and Joint Diseases (6 papers) and Reconstructive Surgery and Microvascular Techniques (6 papers). Raimund Preidl is often cited by papers focused on Bone health and treatments (8 papers), Bone and Joint Diseases (6 papers) and Reconstructive Surgery and Microvascular Techniques (6 papers). Raimund Preidl collaborates with scholars based in Germany and Russia. Raimund Preidl's co-authors include Falk Wehrhan, Manuel Weber, Friedrich Wilhelm Neukam, Kerstin Amann, Maike Büttner‐Herold, Jutta Ries, Patrick Moebius, Marco Kesting, Carol‐Immanuel Geppert and Philipp Stockmann and has published in prestigious journals such as International Journal of Molecular Sciences, British Journal of Cancer and Frontiers in Immunology.

In The Last Decade

Raimund Preidl

31 papers receiving 565 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Raimund Preidl 256 157 124 118 102 31 569
Xiaomei Lao 242 0.9× 169 1.1× 86 0.7× 188 1.6× 29 0.3× 27 571
Takahiro Yagyuu 161 0.6× 87 0.6× 195 1.6× 135 1.1× 28 0.3× 32 596
Candela Reyes‐Botella 157 0.6× 78 0.5× 128 1.0× 156 1.3× 61 0.6× 37 667
Julius Moratin 229 0.9× 33 0.2× 162 1.3× 92 0.8× 58 0.6× 56 499
Vivian Bradaschia-Corrêa 189 0.7× 52 0.3× 90 0.7× 279 2.4× 106 1.0× 30 674
Takanaga Ochiai 109 0.4× 79 0.5× 115 0.9× 294 2.5× 56 0.5× 31 655
Trupti Trivedi 419 1.6× 121 0.8× 75 0.6× 225 1.9× 22 0.2× 36 655
Yuichiro Imai 109 0.4× 122 0.8× 82 0.7× 86 0.7× 26 0.3× 43 506
B. Spriewald 200 0.8× 140 0.9× 58 0.5× 164 1.4× 136 1.3× 23 647
Kazunari Oobu 215 0.8× 49 0.3× 147 1.2× 100 0.8× 12 0.1× 41 583

Countries citing papers authored by Raimund Preidl

Since Specialization
Citations

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

Fields of papers citing papers by Raimund Preidl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raimund Preidl

This figure shows the co-authorship network connecting the top 25 collaborators of Raimund Preidl. A scholar is included among the top collaborators of Raimund Preidl 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 Raimund Preidl. Raimund Preidl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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