Rebecca Fuldner

26 total papers · 1.4k total citations
16 papers, 546 citations indexed

About

Rebecca Fuldner is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Rebecca Fuldner has authored 16 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Physiology. Recurrent topics in Rebecca Fuldner's work include Cardiomyopathy and Myosin Studies (4 papers), Alzheimer's disease research and treatments (2 papers) and Ubiquitin and proteasome pathways (2 papers). Rebecca Fuldner is often cited by papers focused on Cardiomyopathy and Myosin Studies (4 papers), Alzheimer's disease research and treatments (2 papers) and Ubiquitin and proteasome pathways (2 papers). Rebecca Fuldner collaborates with scholars based in United States, Italy and United Kingdom. Rebecca Fuldner's co-authors include Herbert L. Cooper, G. L. Prasad, Mark D. Adams, Richard Braverman, Keith G. Weinstock, Anthony R. Kerlavage, Ewen F. Kirkness, Anna Glodek, Larry F. Lemanski and D. J. Paulson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Development.

In The Last Decade

Rebecca Fuldner

16 papers receiving 528 citations

Author Peers

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

Author Last Decade Papers Cites
Rebecca Fuldner 351 156 83 83 62 16 546
Hae Yung Pyun 292 0.8× 138 0.9× 79 1.0× 52 0.6× 49 0.8× 12 487
José-Marı́a Trifaró 329 0.9× 247 1.6× 36 0.4× 53 0.6× 93 1.5× 17 502
Yuan Yan Sin 342 1.0× 59 0.4× 76 0.9× 58 0.7× 34 0.5× 19 498
Susanne Vetterkind 291 0.8× 192 1.2× 113 1.4× 76 0.9× 19 0.3× 16 513
Daniel M. Williams 390 1.1× 81 0.5× 75 0.9× 57 0.7× 86 1.4× 14 516
Jolanta Kordowska 405 1.2× 109 0.7× 43 0.5× 48 0.6× 35 0.6× 16 546
Arezou Azarani 344 1.0× 80 0.5× 30 0.4× 94 1.1× 50 0.8× 14 542
Isabelle Quéguiner 210 0.6× 129 0.8× 84 1.0× 111 1.3× 79 1.3× 15 542
Qing Luan 295 0.8× 232 1.5× 118 1.4× 38 0.5× 25 0.4× 21 599
Brian T. Edmonds 442 1.3× 184 1.2× 29 0.3× 39 0.5× 49 0.8× 16 602

Countries citing papers authored by Rebecca Fuldner

Since Specialization
Citations

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

Fields of papers citing papers by Rebecca Fuldner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rebecca Fuldner

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