Christina Beckmann

11 total papers · 1.1k total citations
9 papers, 810 citations indexed

About

Christina Beckmann is a scholar working on Cellular and Molecular Neuroscience, Orthopedics and Sports Medicine and Surgery. According to data from OpenAlex, Christina Beckmann has authored 9 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cellular and Molecular Neuroscience, 2 papers in Orthopedics and Sports Medicine and 1 paper in Surgery. Recurrent topics in Christina Beckmann's work include Nerve injury and regeneration (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Liver Disease Diagnosis and Treatment (1 paper). Christina Beckmann is often cited by papers focused on Nerve injury and regeneration (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Liver Disease Diagnosis and Treatment (1 paper). Christina Beckmann collaborates with scholars based in Germany, Netherlands and New Zealand. Christina Beckmann's co-authors include Jonathan C Rawstorn, Ralph Maddison, Nicholas Gant, Artur Direito, Andrea von Berg, Joachim Weis, Gary A. Brook, I. Heschel, Frank Schügner and Bernd Sellhaus and has published in prestigious journals such as Biomaterials, Journal of Allergy and Clinical Immunology and Heart.

In The Last Decade

Christina Beckmann

9 papers receiving 781 citations

Hit Papers

Telehealth exercise-based... 2016 2026 2019 2022 2016 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Christina Beckmann 198 189 154 135 105 9 810
Rahul Koka 142 0.7× 54 0.3× 359 2.3× 228 1.7× 243 2.3× 20 711
Gang Zhao 24 0.1× 84 0.4× 273 1.8× 101 0.7× 48 0.5× 25 964
Peter Woodruff 71 0.4× 69 0.4× 351 2.3× 107 0.8× 47 0.4× 23 964
J. P. Szalai 204 1.0× 105 0.6× 209 1.4× 32 0.2× 26 0.2× 13 855
Peter H.U. Lee 38 0.2× 77 0.4× 236 1.5× 110 0.8× 266 2.5× 29 943
Jean-Marc Cavaillon 33 0.2× 51 0.3× 159 1.0× 15 0.1× 67 0.6× 12 973
S Armstrong 48 0.2× 88 0.5× 130 0.8× 8 0.1× 42 0.4× 18 750
Sagar P. Bapat 16 0.1× 45 0.2× 53 0.3× 26 0.2× 46 0.4× 8 1.0k
Nicholas Parkhouse 59 0.3× 46 0.2× 283 1.8× 40 0.3× 17 0.2× 25 969
Emmanuel Pham 23 0.1× 82 0.4× 244 1.6× 14 0.1× 115 1.1× 16 719

Countries citing papers authored by Christina Beckmann

Since Specialization
Citations

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

Fields of papers citing papers by Christina Beckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Beckmann

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Beckmann. A scholar is included among the top collaborators of Christina Beckmann 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 Christina Beckmann. Christina Beckmann 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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