Aletta C. Schnitzler

29 total papers · 1.1k total citations
17 papers, 860 citations indexed

About

Aletta C. Schnitzler is a scholar working on Molecular Biology, Biomedical Engineering and Surgery. According to data from OpenAlex, Aletta C. Schnitzler has authored 17 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Biomedical Engineering and 3 papers in Surgery. Recurrent topics in Aletta C. Schnitzler's work include Pluripotent Stem Cells Research (5 papers), Mesenchymal stem cell research (3 papers) and 3D Printing in Biomedical Research (3 papers). Aletta C. Schnitzler is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Mesenchymal stem cell research (3 papers) and 3D Printing in Biomedical Research (3 papers). Aletta C. Schnitzler collaborates with scholars based in United States, China and Austria. Aletta C. Schnitzler's co-authors include Ignacio López-Coviella, Jan Krzysztof Blusztajn, Julie Agapite, Lei Zhou, Lawrence M. Schwartz, Hermann Steller, John R. Nambu, Tiffany J. Mellott, Vesela Kovacheva and Jessica Davison and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Aletta C. Schnitzler

16 papers receiving 848 citations

Author Peers

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

Author Last Decade Papers Cites
Aletta C. Schnitzler 469 162 161 104 94 17 860
Marco D’Aurora 348 0.7× 45 0.3× 109 0.7× 96 0.9× 196 2.1× 32 939
Renato Puga 436 0.9× 72 0.4× 171 1.1× 119 1.1× 89 0.9× 40 948
Garry N. Hannan 424 0.9× 174 1.1× 97 0.6× 208 2.0× 26 0.3× 39 1.0k
Nancy D. Borson 466 1.0× 78 0.5× 174 1.1× 70 0.7× 37 0.4× 26 964
Hélène Legros 284 0.6× 73 0.5× 34 0.2× 121 1.2× 60 0.6× 28 717
Diego Dolcetta 454 1.0× 108 0.7× 77 0.5× 183 1.8× 65 0.7× 25 852
Miki Taketomi Saito 147 0.3× 53 0.3× 65 0.4× 55 0.5× 90 1.0× 44 780
D. W. James 358 0.8× 266 1.6× 97 0.6× 54 0.5× 25 0.3× 33 963
Irantzu Bernales 345 0.7× 130 0.8× 58 0.4× 129 1.2× 24 0.3× 13 971
Yue Gao 252 0.5× 121 0.7× 61 0.4× 75 0.7× 38 0.4× 25 725

Countries citing papers authored by Aletta C. Schnitzler

Since Specialization
Citations

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

Fields of papers citing papers by Aletta C. Schnitzler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aletta C. Schnitzler. 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 Aletta C. Schnitzler. The network helps show where Aletta C. Schnitzler may publish in the future.

Co-authorship network of co-authors of Aletta C. Schnitzler

This figure shows the co-authorship network connecting the top 25 collaborators of Aletta C. Schnitzler. A scholar is included among the top collaborators of Aletta C. Schnitzler 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 Aletta C. Schnitzler. Aletta C. Schnitzler 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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