Saige Rutherford

1.9k total citations · 1 hit paper
30 papers, 713 citations indexed

About

Saige Rutherford is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Saige Rutherford has authored 30 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 12 papers in Experimental and Cognitive Psychology and 9 papers in Psychiatry and Mental health. Recurrent topics in Saige Rutherford's work include Functional Brain Connectivity Studies (20 papers), Mental Health Research Topics (8 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Saige Rutherford is often cited by papers focused on Functional Brain Connectivity Studies (20 papers), Mental Health Research Topics (8 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Saige Rutherford collaborates with scholars based in United States, Netherlands and United Kingdom. Saige Rutherford's co-authors include Mike Angstadt, Chandra Sripada, Aman Taxali, André F. Marquand, Mary M. Heitzeg, Luke W. Hyde, Christian F. Beckmann, Ivy F. Tso, Alexander Weigard and Henricus G. Ruhé and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biological Psychiatry.

In The Last Decade

Saige Rutherford

30 papers receiving 708 citations

Hit 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.

The normative modeling framework for computational psychiatry

2022 108 citations Saige Rutherford, Seyed Mostafa Kia et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saige Rutherford United States	15	512	217	178	127	101	30	713
Ashley N. Nielsen United States	13	812 1.6×	204 0.9×	248 1.4×	105 0.8×	120 1.2×	24	979
Cedric Huchuan Xia United States	12	607 1.2×	202 0.9×	307 1.7×	134 1.1×	87 0.9×	16	823
Valeria Kebets Switzerland	10	363 0.7×	148 0.7×	121 0.7×	129 1.0×	47 0.5×	24	519
Mariam Zabihi United Kingdom	7	346 0.7×	110 0.5×	113 0.6×	99 0.8×	42 0.4×	8	471
Sridhar Kandala United States	17	726 1.4×	255 1.2×	272 1.5×	230 1.8×	134 1.3×	33	1.1k
Joe Bathelt United Kingdom	17	474 0.9×	157 0.7×	122 0.7×	183 1.4×	87 0.9×	39	731
Soon‐Beom Hong South Korea	13	342 0.7×	88 0.4×	155 0.9×	179 1.4×	154 1.5×	42	740
Tim Hahn Germany	13	242 0.5×	101 0.5×	81 0.5×	101 0.8×	54 0.5×	35	520
Mads L. Pedersen Norway	15	479 0.9×	192 0.9×	50 0.3×	220 1.7×	104 1.0×	26	771
Hamdi Eryilmaz United States	13	453 0.9×	128 0.6×	140 0.8×	69 0.5×	46 0.5×	24	682

Countries citing papers authored by Saige Rutherford

Since Specialization

Citations

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

Fields of papers citing papers by Saige Rutherford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saige Rutherford

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

All Works

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20 of 20 papers shown

Fraza, Charlotte, et al.. (2025). The promise of quantifying individual risk for brain disorders through normative modeling, a narrative review. Neuroscience & Biobehavioral Reviews. 176. 106284–106284. 1 indexed citations

Verdi, Serena, Saige Rutherford, Charlotte Fraza, et al.. (2024). Personalizing progressive changes to brain structure in Alzheimer's disease using normative modeling. Alzheimer s & Dementia. 20(10). 6998–7012. 6 indexed citations

Leonardsen, Esten H., Saige Rutherford, Geir Selbæk, et al.. (2024). Mapping cerebellar anatomical heterogeneity in mental and neurological illnesses. Nature Mental Health. 2(10). 1196–1207. 2 indexed citations

Berthet, Pierre, Beathe Haatveit, Rikka Kjelkenes, et al.. (2024). A 10-Year Longitudinal Study of Brain Cortical Thickness in People with First-Episode Psychosis Using Normative Models. Schizophrenia Bulletin. 51(1). 95–107. 15 indexed citations

Rutherford, Saige, et al.. (2024). Social Cognition and Functional Connectivity in Early and Chronic Schizophrenia. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 10(5). 542–553. 1 indexed citations

Bayer, Johanna, Seyed Mostafa Kia, Saige Rutherford, et al.. (2024). Non-Gaussian normative modelling with hierarchical Bayesian regression. Imaging Neuroscience. 2. 7 indexed citations

Bhome, Rohan, Serena Verdi, Sophie Martin, et al.. (2024). A neuroimaging measure to capture heterogeneous patterns of atrophy in Parkinson’s disease and dementia with Lewy bodies. NeuroImage Clinical. 42. 103596–103596. 5 indexed citations

Harnett, Nathaniel G., et al.. (2024). Population-level normative models reveal race- and socioeconomic-related variability in cortical thickness of threat neurocircuitry. Communications Biology. 7(1). 745–745. 4 indexed citations

Blain, Scott D., Stephan F. Taylor, Mike Angstadt, et al.. (2023). Aberrant Effective Connectivity During Eye Gaze Processing Is Linked to Social Functioning and Symptoms in Schizophrenia. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 8(12). 1228–1239. 4 indexed citations

10.

Kia, Seyed Mostafa, Saige Rutherford, Thomas Wolfers, et al.. (2022). Closing the life-cycle of normative modeling using federated hierarchical Bayesian regression. PLoS ONE. 17(12). e0278776–e0278776. 28 indexed citations

11.

Clark, David A., Brian M. Hicks, Mike Angstadt, et al.. (2021). The General Factor of Psychopathology in the Adolescent Brain Cognitive Development (ABCD) Study: A Comparison of Alternative Modeling Approaches. Clinical Psychological Science. 9(2). 169–182. 48 indexed citations

12.

Sripada, Chandra, Mike Angstadt, Aman Taxali, et al.. (2021). Widespread attenuating changes in brain connectivity associated with the general factor of psychopathology in 9- and 10-year olds. Translational Psychiatry. 11(1). 575–575. 14 indexed citations

13.

Sripada, Chandra, Mike Angstadt, Aman Taxali, et al.. (2021). Brain-wide functional connectivity patterns support general cognitive ability and mediate effects of socioeconomic status in youth. Translational Psychiatry. 11(1). 571–571. 33 indexed citations

14.

Taylor, Stephan F., et al.. (2021). Continuous Theta Burst Stimulation to the Secondary Visual Cortex at 80% Active Motor Threshold Does Not Impair Central Vision in Humans During a Simple Detection Task. Frontiers in Human Neuroscience. 15. 709275–709275. 2 indexed citations

15.

Rutherford, Saige, Pascal Sturmfels, Mike Angstadt, et al.. (2021). Automated Brain Masking of Fetal Functional MRI with Open Data. Neuroinformatics. 20(1). 173–185. 28 indexed citations

16.

Taxali, Aman, Mike Angstadt, Saige Rutherford, & Chandra Sripada. (2020). Boost in Test–Retest Reliability in Resting State fMRI with Predictive Modeling. Cerebral Cortex. 31(6). 2822–2833. 44 indexed citations

17.

Tso, Ivy F., Mike Angstadt, Saige Rutherford, et al.. (2020). Dynamic causal modeling of eye gaze processing in schizophrenia. Schizophrenia Research. 229. 112–121. 19 indexed citations

18.

Sripada, Chandra, et al.. (2019). Basic Units of Inter-Individual Variation in Resting State Connectomes. Scientific Reports. 9(1). 1900–1900. 46 indexed citations

19.

Sripada, Chandra, Saige Rutherford, Mike Angstadt, et al.. (2019). Prediction of neurocognition in youth from resting state fMRI. Molecular Psychiatry. 25(12). 3413–3421. 77 indexed citations

20.

Sturmfels, Pascal, Saige Rutherford, Mike Angstadt, et al.. (2018). A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images. 295–311. 2 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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