Susan Gabrieli

1.2k total citations · 1 hit paper
6 papers, 759 citations indexed

About

Susan Gabrieli is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Susan Gabrieli has authored 6 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 2 papers in Experimental and Cognitive Psychology and 2 papers in Psychiatry and Mental health. Recurrent topics in Susan Gabrieli's work include Functional Brain Connectivity Studies (3 papers), Memory and Neural Mechanisms (2 papers) and Mental Health Research Topics (2 papers). Susan Gabrieli is often cited by papers focused on Functional Brain Connectivity Studies (3 papers), Memory and Neural Mechanisms (2 papers) and Mental Health Research Topics (2 papers). Susan Gabrieli collaborates with scholars based in United States and China. Susan Gabrieli's co-authors include John D. E. Gabrieli, Michael C. Anderson, Jeffrey C. Cooper, Elaine R. Robertson, Brice A. Kuhl, Kevin N. Ochsner, Gary H. Glover, Leanne M. Williams, Mark H. Pollack and Satrajit Ghosh and has published in prestigious journals such as Science, Biological Psychiatry and Neuropsychopharmacology.

In The Last Decade

Susan Gabrieli

6 papers receiving 719 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neural Systems Underlying the Suppression of Unwanted Memories

2004 738 citations Michael C. Anderson, Kevin N. Ochsner et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Susan Gabrieli United States	4	572	205	149	96	89	6	759
Marcus Rothkirch Germany	17	700 1.2×	222 1.1×	83 0.6×	121 1.3×	66 0.7×	34	904
Nuria Doñamayor Germany	15	482 0.8×	166 0.8×	95 0.6×	115 1.2×	91 1.0×	22	685
Víctor Costumero Spain	17	567 1.0×	267 1.3×	152 1.0×	262 2.7×	136 1.5×	51	946
Mariët van Buuren Netherlands	16	760 1.3×	188 0.9×	101 0.7×	229 2.4×	73 0.8×	36	997
Vincent Valton United Kingdom	13	349 0.6×	193 0.9×	83 0.6×	84 0.9×	113 1.3×	20	629
Steven C. Lacey United States	5	908 1.6×	226 1.1×	102 0.7×	166 1.7×	148 1.7×	9	1.1k
Helga A. Harsay Netherlands	9	622 1.1×	177 0.9×	132 0.9×	110 1.1×	113 1.3×	10	806
Pierre Gagnepain France	14	808 1.4×	306 1.5×	123 0.8×	47 0.5×	107 1.2×	30	1.0k
Vincent Taschereau‐Dumouchel United States	12	410 0.7×	129 0.6×	93 0.6×	71 0.7×	99 1.1×	27	559
Benedikt Reuter Germany	17	675 1.2×	256 1.2×	209 1.4×	213 2.2×	75 0.8×	40	946

Countries citing papers authored by Susan Gabrieli

Since Specialization

Citations

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

Fields of papers citing papers by Susan Gabrieli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Gabrieli

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Williams, Leanne M. & Susan Gabrieli. (2024). Neuroimaging for precision medicine in psychiatry. Neuropsychopharmacology. 50(1). 246–257. 9 indexed citations

2.

Du, Fei, Xi Chen, Xiaoying Fan, et al.. (2018). T81. Regional GABA Concentrations Modulate Inter-Network Resting-State Functional Connectivity. Biological Psychiatry. 83(9). S160–S160. 1 indexed citations

3.

Redcay, Elizabeth, et al.. (2013). Intrinsic functional network organization in high-functioning adolescents with autism spectrum disorder. DSpace@MIT (Massachusetts Institute of Technology). 4 indexed citations

4.

Doehrmann, Oliver, Frida E. Polli, Gretchen Reynolds, et al.. (2012). Predicting Treatment Response in Social Anxiety Disorder From Functional Magnetic Resonance Imaging. DSpace@MIT (Massachusetts Institute of Technology). 6 indexed citations

5.

Trivedi, Mehul A., Travis Stoub, Christopher M. Murphy, et al.. (2011). Entorhinal cortex volume is associated with episodic memory related brain activation in normal aging and amnesic mild cognitive impairment. Brain Imaging and Behavior. 5(2). 126–136. 1 indexed citations

6.

Anderson, Michael C., Kevin N. Ochsner, Brice A. Kuhl, et al.. (2004). Neural Systems Underlying the Suppression of Unwanted Memories. Science. 303(5655). 232–235. 738 indexed citations breakdown →

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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