Steven H. Aggen

9.8k total citations · 1 hit paper
136 papers, 5.8k citations indexed

About

Steven H. Aggen is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Epidemiology. According to data from OpenAlex, Steven H. Aggen has authored 136 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Clinical Psychology, 60 papers in Experimental and Cognitive Psychology and 23 papers in Epidemiology. Recurrent topics in Steven H. Aggen's work include Mental Health Research Topics (37 papers), Child and Adolescent Psychosocial and Emotional Development (34 papers) and Cognitive Abilities and Testing (27 papers). Steven H. Aggen is often cited by papers focused on Mental Health Research Topics (37 papers), Child and Adolescent Psychosocial and Emotional Development (34 papers) and Cognitive Abilities and Testing (27 papers). Steven H. Aggen collaborates with scholars based in United States, Norway and Netherlands. Steven H. Aggen's co-authors include Kenneth S. Kendler, Michael C. Neale, Carol A. Prescott, Ted Reichborn‐Kjennerud, Denny Borsboom, J. Eric Schmitt, Espen Røysamb, Angélique O. J. Cramer, Kristian Tambs and Nikolai Olavi Czajkowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

Steven H. Aggen

136 papers receiving 5.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Critical slowing down as early warning for the onset and termination of depression

2013 492 citations Ingrid A. van de Leemput, Marieke Wichers et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven H. Aggen United States	40	2.6k	2.0k	956	797	725	136	5.8k
Charles O. Gardner United States	37	3.3k 1.3×	1.9k 0.9×	674 0.7×	910 1.1×	585 0.8×	66	7.0k
John M. Hettema United States	38	4.0k 1.5×	2.3k 1.1×	1.1k 1.1×	994 1.2×	295 0.4×	111	7.5k
Christine Blasey United States	43	1.7k 0.6×	828 0.4×	1.4k 1.5×	1.2k 1.5×	505 0.7×	72	6.0k
Kenneth S. Kendler United States	23	2.7k 1.0×	1.5k 0.7×	423 0.4×	795 1.0×	768 1.1×	29	6.3k
HonaLee Harrington United States	11	3.3k 1.3×	1.3k 0.6×	955 1.0×	990 1.2×	614 0.8×	12	8.4k
Michael C. Stallings United States	38	2.4k 0.9×	1.0k 0.5×	429 0.4×	649 0.8×	1.3k 1.8×	133	5.3k
Janine D. Flory United States	54	3.4k 1.3×	1.7k 0.8×	1.6k 1.6×	1.4k 1.7×	534 0.7×	144	9.8k
Julia D. Grant United States	45	1.7k 0.6×	725 0.4×	878 0.9×	426 0.5×	1.3k 1.8×	126	6.1k
Madeline H. Meier United States	29	2.2k 0.9×	1.1k 0.5×	1.0k 1.1×	1.6k 2.0×	914 1.3×	61	5.8k
James MacKillop United States	34	1.6k 0.6×	1.2k 0.6×	929 1.0×	583 0.7×	854 1.2×	87	4.8k

Countries citing papers authored by Steven H. Aggen

Since Specialization

Citations

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

Fields of papers citing papers by Steven H. Aggen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven H. Aggen. 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 Steven H. Aggen. The network helps show where Steven H. Aggen may publish in the future.

Co-authorship network of co-authors of Steven H. Aggen

This figure shows the co-authorship network connecting the top 25 collaborators of Steven H. Aggen. A scholar is included among the top collaborators of Steven H. Aggen 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 Steven H. Aggen. Steven H. Aggen 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

1.

Kendler, Kenneth S. & Steven H. Aggen. (2023). A population-based twin study of the symptomatic diagnostic criteria for major depression that occur within versus outside of major depressive episodes. Psychological Medicine. 53(15). 7458–7465. 2 indexed citations

2.

Loo, Hanna M. van, Steven H. Aggen, & Kenneth S. Kendler. (2022). The structure of the symptoms of major depression: Factor analysis of a lifetime worst episode of depressive symptoms in a large general population sample. Journal of Affective Disorders. 307. 115–124. 5 indexed citations

3.

Sheerin, Christina M., Kaitlin E. Bountress, Shannon E. Cusack, et al.. (2021). Psychiatric Resilience and Alcohol Resistance: A Twin Study of Genetic Correlation and Sex Differences. Behavior Genetics. 51(6). 619–630. 5 indexed citations

4.

Bountress, Kaitlin E., Steven H. Aggen, & Wendy Kliewer. (2020). Is delinquency associated with subsequent victimization by community violence in adolescents? A test of the risky behavior model in a primarily African American sample.. Psychology of Violence. 11(3). 234–243. 3 indexed citations

5.

Loo, Hanna M. van, Tim B. Bigdeli, Yuri Milaneschi, Steven H. Aggen, & Kenneth S. Kendler. (2020). Data mining algorithm predicts a range of adverse outcomes in major depression. Journal of Affective Disorders. 276. 945–953. 10 indexed citations

6.

Sheerin, Christina M., Laura M. Franke, Steven H. Aggen, Ananda B. Amstadter, & William C. Walker. (2018). Evaluating the Contribution of EEG Power Profiles to Characterize and Discriminate Posttraumatic Stress Symptom Factors in a Combat-Exposed Population. Clinical EEG and Neuroscience. 49(6). 379–387. 10 indexed citations

7.

Kendler, Kenneth S. & Steven H. Aggen. (2017). Symptoms of major depression: Their stability, familiality, and prediction by genetic, temperamental, and childhood environmental risk factors. Depression and Anxiety. 34(2). 171–177. 7 indexed citations

8.

Reichborn‐Kjennerud, Ted, Robert F. Krueger, Eivind Ystrøm, et al.. (2017). Do DSM-5 Section II personality disorders and Section III personality trait domains reflect the same genetic and environmental risk factors?. Psychological Medicine. 47(12). 2205–2215. 14 indexed citations

9.

Long, Elizabeth C., Steven H. Aggen, C Gardner, & Kenneth S. Kendler. (2015). Differential parenting and risk for psychopathology: a monozygotic twin difference approach. Social Psychiatry and Psychiatric Epidemiology. 50(10). 1569–1576. 14 indexed citations

10.

Hettema, John M., Steven H. Aggen, Thomas S. Kubarych, Michael C. Neale, & Kenneth S. Kendler. (2015). Identification and validation of mixed anxiety–depression. Psychological Medicine. 45(14). 3075–3084. 19 indexed citations

11.

Kendler, Kenneth S., Steven H. Aggen, Cathryn M. Lewis, et al.. (2015). The similarity of the structure of DSM-IV criteria for major depression in depressed women from China, the United States and Europe. Psychological Medicine. 45(9). 1945–1954. 20 indexed citations

12.

Loo, Hanna M. van, Steven H. Aggen, Charles O. Gardner, & Kenneth S. Kendler. (2015). Multiple risk factors predict recurrence of major depressive disorder in women. Journal of Affective Disorders. 180. 52–61. 32 indexed citations

13.

Leemput, Ingrid A. van de, Marieke Wichers, Angélique O. J. Cramer, et al.. (2013). Critical slowing down as early warning for the onset and termination of depression. Proceedings of the National Academy of Sciences. 111(1). 87–92. 492 indexed citations breakdown →

14.

Kendler, Kenneth S. & Steven H. Aggen. (2013). Clarifying the causal relationship in women between childhood sexual abuse and lifetime major depression. Psychological Medicine. 44(6). 1213–1221. 30 indexed citations

15.

Borsboom, Denny, Sophie van der Sluis, Arjen Noordhof, et al.. (2012). What kind of causal modelling approach does personality research need. European Journal of Personality. 26(4). 392–393. 2 indexed citations

16.

Aggen, Steven H., Kenneth S. Kendler, Thomas S. Kubarych, & Michael C. Neale. (2011). Differential Age and Sex Effects in the Assessment of Major Depression: A Population-Based Twin Item Analysis of the DSM Criteria. Twin Research and Human Genetics. 14(6). 524–538. 6 indexed citations

17.

Kendler, Kenneth S., Gursharan Kalsi, Peter Holmans, et al.. (2011). Genomewide Association Analysis of Symptoms of Alcohol Dependence in the Molecular Genetics of Schizophrenia (MGS2) Control Sample. Alcoholism Clinical and Experimental Research. 35(5). 963–975. 102 indexed citations

18.

Neale, Michael C., Gitta H. Lubke, Steven H. Aggen, & Conor V. Dolan. (2005). Problems With Using Sum Scores for Estimating Variance Components: Contamination and Measurement Noninvariance. Twin Research and Human Genetics. 8(6). 553–568. 31 indexed citations

19.

Neale, Michael C., Gitta H. Lubke, Steven H. Aggen, & Conor V. Dolan. (2005). Problems With Using Sum Scores for Estimating Variance Components: Contamination and Measurement Noninvariance. Twin Research and Human Genetics. 8(6). 553–568. 27 indexed citations

20.

Prescott, Carol A., Steven H. Aggen, & Kenneth S. Kendler. (2001). Sex-specific Genetic Influences on the Comorbidity of Alcoholism and Major Depression in a Population-based Sample of U.S. Twins. Twin Research and Human Genetics. 4(3). 203. 1 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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