Sara Becker-Catania

1.5k citations
15 papers · 1.2k indexed · h-index 13
Topics
DNA Repair Mechanisms (6 papers)Carcinogens and Genotoxicity Assessment (3 papers)Neurogenesis and neuroplasticity mechanisms (3 papers)
Partner nations
United StatesPolandItaly

In The Last Decade

Sara Becker-Catania

15 papers receiving 1.2k citations

Peers

Sara Becker-Catania
Comparison fields: 5 of 87
  • Molecular Biology 850
  • Cancer Research 310
  • Oncology 212
  • Developmental Neuroscience 192
  • Cellular and Molecular Neuroscience 174
Replace Jinxiang Dai with:
Jinxiang Dai United States
Katsunori Semi Japan
Cesare Lancini Netherlands
Doğukan Mizrak United States
E. David Litwack United States
Prithi Rajan United States
Yang Su China
Pia Rivetti di Val Cervo Italy
Luca Tiberi Italy
Lijian Shen United States
Sara Becker-Catania relative to Jinxiang Dai United States Jinxiang Dai's profile →
Citations per field
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Jinxiang Dai · 1×
Citations per year

Countries citing papers authored by Sara Becker-Catania

Since Specialization
Citations

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

Fields of papers citing papers by Sara Becker-Catania

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Becker-Catania. 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 Sara Becker-Catania. The network helps show where Sara Becker-Catania may publish in the future.

Co-authorship network of co-authors of Sara Becker-Catania

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Becker-Catania. A scholar is included among the top collaborators of Sara Becker-Catania 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 Sara Becker-Catania. Sara Becker-Catania is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 12
2 71
3 7
4 12
5 11
6 331
7 126
8 15
9 95
10 45
11 26
12 84
13 88
14 239
15 13

About Sara Becker-Catania

Sara Becker-Catania is a scholar working on Developmental Neuroscience, Genetics and Cancer Research, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), Carcinogens and Genotoxicity Assessment (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (192 citations), Cancer Research (310 citations) and Molecular Biology (850 citations). Sara Becker-Catania has collaborated with scholars based in United States, Poland and Italy. Frequent co-authors include Richard A. Gatti, Susan Perlman, Luciana Chessa, Özden Sanal, Jean de Vellis, Ewa Bernatowska, Fei He, Weihong Ge, Wenyu Zhu and Diogo S. Castro. Their work appears in journals such as ACS Nano, Nature Neuroscience and Brain Research.

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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