Cornelia Franke

14 total papers · 543 total citations
8 papers, 458 citations indexed

About

Cornelia Franke is a scholar working on Surgery, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Cornelia Franke has authored 8 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 4 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Cornelia Franke's work include Lipoproteins and Cardiovascular Health (4 papers), Computational Drug Discovery Methods (4 papers) and Glycosylation and Glycoproteins Research (1 paper). Cornelia Franke is often cited by papers focused on Lipoproteins and Cardiovascular Health (4 papers), Computational Drug Discovery Methods (4 papers) and Glycosylation and Glycoproteins Research (1 paper). Cornelia Franke collaborates with scholars based in Germany and United States. Cornelia Franke's co-authors include Wernér E.G. Müller, Gunter P. Eckert, Leslie N. Johnson‐Anuna, W. Gibson Wood, Urule Igbavboa, Manfred Schubert‐Zsilavecz, Michael Nöldner, Michael Karas, Sascha Meyer dos Santos and Reham M. Abdel‐Kader and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Biophysical Journal and Journal of Neurochemistry.

In The Last Decade

Cornelia Franke

8 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Cornelia Franke	193	160	89	77	61	8	458
Marjan Shafaati	321 1.7×	397 2.5×	115 1.3×	110 1.4×	31 0.5×	11	550
Dimitri Paola	193 1.0×	82 0.5×	139 1.6×	42 0.5×	38 0.6×	12	448
Heather F. McMurray	146 0.8×	80 0.5×	94 1.1×	65 0.8×	30 0.5×	8	502
H. J. Stuerenburg	210 1.1×	99 0.6×	163 1.8×	47 0.6×	102 1.7×	11	503
Nicholas B. Pike	272 1.4×	121 0.8×	116 1.3×	32 0.4×	35 0.6×	6	546
Andrew Chiu	195 1.0×	97 0.6×	59 0.7×	72 0.9×	47 0.8×	12	541
Jaya R.P. Prasanthi	213 1.1×	141 0.9×	192 2.2×	47 0.6×	59 1.0×	8	543
Anja Zahno	281 1.5×	130 0.8×	45 0.5×	68 0.9×	18 0.3×	8	513
Eleni E. Zanni	221 1.1×	181 1.1×	148 1.7×	34 0.4×	39 0.6×	15	518
Dushmanthi Jayasinghe	319 1.7×	63 0.4×	157 1.8×	51 0.7×	83 1.4×	11	456

Countries citing papers authored by Cornelia Franke

Since Specialization

Citations

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

Fields of papers citing papers by Cornelia Franke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelia Franke

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