Annalisa Schaub

8 total papers · 412 total citations
5 papers, 246 citations indexed

About

Annalisa Schaub is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Annalisa Schaub has authored 5 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in Annalisa Schaub's work include Genomics, phytochemicals, and oxidative stress (1 paper), Genetic Neurodegenerative Diseases (1 paper) and Ubiquitin and proteasome pathways (1 paper). Annalisa Schaub is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (1 paper), Genetic Neurodegenerative Diseases (1 paper) and Ubiquitin and proteasome pathways (1 paper). Annalisa Schaub collaborates with scholars based in Germany, United States and Australia. Annalisa Schaub's co-authors include Elke Glasmacher, Robert Gentleman, Corey E. Bakalarski, Jens Reeder, Somasekar Seshagiri, James Lee, David Stokoe, Ryan J. Hartmaier, Leonard D. Goldstein and Christiaan Klijn and has published in prestigious journals such as Nature Communications, Cell Reports and Oncotarget.

In The Last Decade

Annalisa Schaub

5 papers receiving 239 citations

Author Peers

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

Author Last Decade Papers Cites
Annalisa Schaub 219 58 26 25 18 5 246
Renan da Silva Santos 220 1.0× 51 0.9× 41 1.6× 16 0.6× 16 0.9× 6 266
Abigail L. Thorpe 177 0.8× 49 0.8× 25 1.0× 19 0.8× 23 1.3× 7 233
Tristan M. G. Kenney 237 1.1× 42 0.7× 48 1.8× 20 0.8× 14 0.8× 6 288
Simranjit X. Singh 247 1.1× 106 1.8× 27 1.0× 14 0.6× 13 0.7× 7 291
Amanda Khoury 187 0.9× 79 1.4× 24 0.9× 16 0.6× 9 0.5× 7 235
Sally J. Deeb 215 1.0× 28 0.5× 31 1.2× 25 1.0× 6 0.3× 4 291
Steffan Vartanian 179 0.8× 34 0.6× 44 1.7× 11 0.4× 33 1.8× 5 229
Gilbert R. Lee 152 0.7× 37 0.6× 44 1.7× 28 1.1× 16 0.9× 5 212
Shun H. Yip 215 1.0× 69 1.2× 23 0.9× 50 2.0× 7 0.4× 5 267
Dmitri Segal 231 1.1× 36 0.6× 23 0.9× 19 0.8× 12 0.7× 7 279

Countries citing papers authored by Annalisa Schaub

Since Specialization
Citations

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

Fields of papers citing papers by Annalisa Schaub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annalisa Schaub

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