Marcella Birtele

42 total papers · 1.0k total citations
23 papers, 557 citations indexed

About

Marcella Birtele is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Marcella Birtele has authored 23 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Developmental Neuroscience. Recurrent topics in Marcella Birtele's work include Pluripotent Stem Cells Research (16 papers), CRISPR and Genetic Engineering (9 papers) and Neuroscience and Neural Engineering (5 papers). Marcella Birtele is often cited by papers focused on Pluripotent Stem Cells Research (16 papers), CRISPR and Genetic Engineering (9 papers) and Neuroscience and Neural Engineering (5 papers). Marcella Birtele collaborates with scholars based in Sweden, United States and Denmark. Marcella Birtele's co-authors include Malin Parmar, Daniella Rylander Ottosson, Maria Pereira, Alessandro Fiorenzano, Janko Kajtez, Yogita Sharma, Giorgia Quadrato, Fredrik Nilsson, Jenny Emnéus and Petter Storm and has published in prestigious journals such as Nature Communications, Nature Reviews Molecular Cell Biology and Nature Neuroscience.

In The Last Decade

Marcella Birtele

21 papers receiving 550 citations

Author Peers

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

Author Last Decade Papers Cites
Marcella Birtele 349 193 162 133 54 23 557
Nisha Iyer 316 0.9× 274 1.4× 205 1.3× 142 1.1× 30 0.6× 20 670
Offra Sarig-Nadir 201 0.6× 329 1.7× 143 0.9× 145 1.1× 57 1.1× 8 626
Kari Pollock 431 1.2× 169 0.9× 187 1.2× 132 1.0× 49 0.9× 9 668
Zachary Jones 246 0.7× 127 0.7× 91 0.6× 89 0.7× 32 0.6× 18 562
Min-Yin Li 418 1.2× 242 1.3× 181 1.1× 118 0.9× 37 0.7× 9 667
Mengdan Tao 278 0.8× 97 0.5× 188 1.2× 46 0.3× 24 0.4× 15 533
Janko Kajtez 249 0.7× 133 0.7× 212 1.3× 43 0.3× 41 0.8× 24 523
Alexander William Phillips 419 1.2× 137 0.7× 265 1.6× 124 0.9× 20 0.4× 6 592
Siham Hachi 325 0.9× 193 1.0× 306 1.9× 92 0.7× 63 1.2× 9 547
Sarah Nickels 350 1.0× 206 1.1× 160 1.0× 112 0.8× 158 2.9× 16 619

Countries citing papers authored by Marcella Birtele

Since Specialization
Citations

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

Fields of papers citing papers by Marcella Birtele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcella Birtele

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