Sara Abbott

5 papers receiving 313 citations

Peers

Sara Abbott
Comparison fields: 5 of 81
  • Statistics and Probability 126
  • Developmental and Educational Psychology 81
  • Sensory Systems 28
  • Developmental Neuroscience 16
  • Cellular and Molecular Neuroscience 66
Replace Dongnhu T. Truong with:
Dongnhu T. Truong United States
Christopher G. Fiondella United States
Thomas O’Reilly-Pol United States
Heidi Anthoni Finland
Haiying Meng United States
Tom S. Scerri United Kingdom
Lisa A. Gabel United States
Janet G. Walter United States
Martín Elías Costa Argentina
Shannon Ellis United States
Sara Abbott relative to Dongnhu T. Truong United States Dongnhu T. Truong's profile →
Citations per field
00.5×3.5×
Dongnhu T. Truong · 1×
Citations per year

Countries citing papers authored by Sara Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Sara Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sara Abbott, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sara Abbott Line = papers co-authored together Sara Abbott links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2004138
2 2007136
3 200126
4 201822
5 20241
6 20170

About Sara Abbott

Sara Abbott is a scholar working on Cellular and Molecular Neuroscience, Family Practice, Sociology and Political Science, Marketing and Epidemiology, having authored 6 papers that have together received 323 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Nerve injury and regeneration (1 paper), Uterine Myomas and Treatments (1 paper), Clinical Reasoning and Diagnostic Skills (1 paper), Marketing and Advertising Strategies (1 paper), Radiology practices and education (1 paper) and Cervical Cancer and HPV Research (1 paper). The work is most often cited by research in Statistics and Probability (126 citations), Developmental and Educational Psychology (81 citations), Sensory Systems (28 citations), Developmental Neuroscience (16 citations) and Cellular and Molecular Neuroscience (66 citations). Sara Abbott has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Elizabeth M. Brannon, Hiroshi Hasegawa, Bao-Xia Han, Fan Wang, Nigel Morgan, Annette Pritchard, Gretchen Kimmick, Rex C. Bentley, Smita K. Nair and Kelly Westbrook. Their work appears in journals such as Journal Of Vacation Marketing, Clinical Breast Cancer, International Journal of Gynecological Pathology, Cognition and Journal of Neuroscience.

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.

Explore authors with similar magnitude of impact