Frances Xia

1.4k total citations · 1 hit paper
9 papers, 889 citations indexed

About

Frances Xia is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Frances Xia has authored 9 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 7 papers in Cognitive Neuroscience and 3 papers in Social Psychology. Recurrent topics in Frances Xia's work include Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (7 papers) and Neural dynamics and brain function (3 papers). Frances Xia is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (7 papers) and Neural dynamics and brain function (3 papers). Frances Xia collaborates with scholars based in Canada, United States and Germany. Frances Xia's co-authors include Sheena A. Josselyn, Paul W. Frankland, Patrick E. Steadman, Blake A. Richards, Gisella Vetere, Lina Tran, Anna C. Geraghty, Amber Penning, Michelle Monje and Hendrik W. Steenland and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Frances Xia

9 papers receiving 884 citations

Hit Papers

Disruption of Oligodendrogenesis Impairs Memory Consolida... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frances Xia Canada 9 492 475 220 206 117 9 889
Jason C. Wester United States 12 496 1.0× 711 1.5× 113 0.5× 157 0.8× 250 2.1× 19 944
Alonso Martínez-Canabal Mexico 11 494 1.0× 446 0.9× 567 2.6× 236 1.1× 163 1.4× 18 1.2k
Vanessa Rodriguez Barrera United States 4 361 0.7× 425 0.9× 406 1.8× 117 0.6× 117 1.0× 5 714
Taruna Ikrar United States 13 466 0.9× 661 1.4× 197 0.9× 134 0.7× 260 2.2× 31 972
Keitaro Yoshida Japan 14 312 0.6× 459 1.0× 95 0.4× 267 1.3× 240 2.1× 19 979
Arianna Rinaldi Italy 16 229 0.5× 374 0.8× 123 0.6× 150 0.7× 301 2.6× 26 833
Axel Guskjolen Canada 13 468 1.0× 461 1.0× 483 2.2× 167 0.8× 156 1.3× 16 1.0k
María Ángeles Gómez‐Climent Spain 18 223 0.5× 528 1.1× 452 2.1× 157 0.8× 182 1.6× 21 874
Daniele Saraulli Italy 16 292 0.6× 250 0.5× 301 1.4× 109 0.5× 280 2.4× 33 869
Mieko Morishima Japan 14 674 1.4× 936 2.0× 188 0.9× 84 0.4× 275 2.4× 19 1.2k

Countries citing papers authored by Frances Xia

Since Specialization
Citations

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

Fields of papers citing papers by Frances Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frances Xia

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

All Works

9 of 9 papers shown
1.
Xia, Frances, V. Fascianelli, Anne Kwon, et al.. (2024). Understanding the neural code of stress to control anhedonia. Nature. 637(8046). 654–662. 8 indexed citations
2.
Vetere, Gisella, Frances Xia, Adam I. Ramsaran, et al.. (2021). An inhibitory hippocampal–thalamic pathway modulates remote memory retrieval. Nature Neuroscience. 24(5). 685–693. 32 indexed citations
3.
Xia, Frances & Mazen A. Kheirbek. (2020). Circuit-Based Biomarkers for Mood and Anxiety Disorders. Trends in Neurosciences. 43(11). 902–915. 36 indexed citations
4.
Steadman, Patrick E., Frances Xia, Andrew J. Mocle, et al.. (2019). Disruption of Oligodendrogenesis Impairs Memory Consolidation in Adult Mice. Neuron. 105(1). 150–164.e6. 265 indexed citations breakdown →
5.
Xia, Frances, Axel Guskjolen, Adam I. Ramsaran, et al.. (2018). Elevation of Hippocampal Neurogenesis Induces a Temporally Graded Pattern of Forgetting of Contextual Fear Memories. Journal of Neuroscience. 38(13). 3190–3198. 64 indexed citations
6.
Xia, Frances, Blake A. Richards, Matthew M. Tran, et al.. (2017). Parvalbumin-positive interneurons mediate neocortical-hippocampal interactions that are necessary for memory consolidation. eLife. 6. 144 indexed citations
7.
Xia, Frances, Adelaide P. Yiu, Scellig Stone, et al.. (2017). Entorhinal Cortical Deep Brain Stimulation Rescues Memory Deficits in Both Young and Old Mice Genetically Engineered to Model Alzheimer’s Disease. Neuropsychopharmacology. 42(13). 2493–2503. 50 indexed citations
8.
Vetere, Gisella, Justin W. Kenney, Lina Tran, et al.. (2017). Chemogenetic Interrogation of a Brain-wide Fear Memory Network in Mice. Neuron. 94(2). 363–374.e4. 191 indexed citations
9.
Richards, Blake A., Frances Xia, Adam Santoro, et al.. (2014). Patterns across multiple memories are identified over time. Nature Neuroscience. 17(7). 981–986. 99 indexed citations

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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