Emma C. Johnson

6.3k total citations · 2 hit papers
67 papers, 1.5k citations indexed

About

Emma C. Johnson is a scholar working on Genetics, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Emma C. Johnson has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 20 papers in Epidemiology and 17 papers in Pathology and Forensic Medicine. Recurrent topics in Emma C. Johnson's work include Genetic Associations and Epidemiology (27 papers), Substance Abuse Treatment and Outcomes (19 papers) and Alcohol Consumption and Health Effects (17 papers). Emma C. Johnson is often cited by papers focused on Genetic Associations and Epidemiology (27 papers), Substance Abuse Treatment and Outcomes (19 papers) and Alcohol Consumption and Health Effects (17 papers). Emma C. Johnson collaborates with scholars based in United States, Denmark and Australia. Emma C. Johnson's co-authors include Matthew C. Keller, Richard Border, Luke M. Evans, Arpana Agrawal, Patrick F. Sullivan, Andrew Smolen, Alexander S. Hatoum, Ryan Bogdan, Sarah E. Paul and J S Brook and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature reviews. Neuroscience and Nature Biotechnology.

In The Last Decade

Emma C. Johnson

59 papers receiving 1.5k 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.

No Support for Historical Candidate Gene or Candidate Gene-by-Interaction Hypotheses for Major Depression Across Multiple Large Samples

2019 356 citations Emma C. Johnson, Luke M. Evans et al. profile →
Associations Between Prenatal Cannabis Exposure and Childhood Outcomes

2020 197 citations Sarah E. Paul, Alexander S. Hatoum et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emma C. Johnson United States	17	346	307	302	271	257	67	1.5k
Florence Vorspan France	17	269 0.8×	229 0.7×	162 0.5×	192 0.7×	99 0.4×	97	1.4k
Penelope A. Lind Australia	26	492 1.4×	374 1.2×	169 0.6×	201 0.7×	90 0.4×	56	1.6k
Fernando S. Goes United States	28	649 1.9×	581 1.9×	164 0.5×	507 1.9×	90 0.4×	86	2.4k
Blanca Gutiérrez Spain	28	345 1.0×	403 1.3×	293 1.0×	473 1.7×	90 0.4×	95	2.4k
Michele L. Pergadia United States	33	420 1.2×	734 2.4×	327 1.1×	363 1.3×	212 0.8×	60	2.5k
Tabea Schoeler United Kingdom	24	332 1.0×	112 0.4×	690 2.3×	640 2.4×	253 1.0×	44	2.3k
Fergus Kane United Kingdom	17	260 0.8×	333 1.1×	360 1.2×	184 0.7×	125 0.5×	28	1.3k
Shawn J. Latendresse United States	25	232 0.7×	273 0.9×	134 0.4×	689 2.5×	184 0.7×	52	2.4k
Francesca Ducci United States	22	296 0.9×	505 1.6×	314 1.0×	625 2.3×	178 0.7×	30	2.4k
Jakob Grove Denmark	32	775 2.2×	470 1.5×	89 0.3×	383 1.4×	765 3.0×	93	2.8k

Countries citing papers authored by Emma C. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Emma C. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma C. Johnson. 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 Emma C. Johnson. The network helps show where Emma C. Johnson may publish in the future.

Co-authorship network of co-authors of Emma C. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Emma C. Johnson. A scholar is included among the top collaborators of Emma C. Johnson 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 Emma C. Johnson. Emma C. Johnson 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

Nielsen, Trine Tollerup, Jinjie Duan, Daniel F. Levey, et al.. (2024). Shared genetics of ADHD, cannabis use disorder and cannabis use and prediction of cannabis use disorder in ADHD. Nature Mental Health. 2(9). 1071–1083. 1 indexed citations

Paul, Sarah E., Sarah M. C. Colbert, Emma C. Johnson, et al.. (2024). A phenome-wide association study of cross-disorder genetic liability in youth genetically similar to individuals from European reference populations. Nature Mental Health. 2(11). 1327–1341.

Koller, Dóra, Gita A. Pathak, Daniel F. Levey, et al.. (2024). Pleiotropy and genetically inferred causality linking multisite chronic pain to substance use disorders. Molecular Psychiatry. 29(7). 2021–2030. 2 indexed citations

Baranger, David A. A., Sarah Paul, Sarah M. C. Colbert, et al.. (2023). 308. Increased Mental Health Burden Associated With Prenatal Cannabis Exposure Persists From Childhood to Early Adolescence, but is Not Mediated by Brain Gray Matter or Resting State Correlations. Biological Psychiatry. 93(9). S218–S218. 1 indexed citations

Johnson, Emma C., Jessica E. Salvatore, Dongbing Lai, et al.. (2023). The collaborative study on the genetics of alcoholism: Genetics. Genes Brain & Behavior. 22(5). e12856–e12856. 6 indexed citations

Colbert, Sarah M. C., Niamh Mullins, Grace Chan, et al.. (2023). Polygenic Contributions to Suicidal Thoughts and Behaviors in a Sample Ascertained for Alcohol Use Disorders. PubMed. 9(1-4). 11–23. 3 indexed citations

Hatoum, Alexander S., Evan A. Winiger, Claire L. Morrison, Emma C. Johnson, & Arpana Agrawal. (2022). Characterisation of the genetic relationship between the domains of sleep and circadian‐related behaviours with substance use phenotypes. Addiction Biology. 27(4). e13184–e13184. 4 indexed citations

Bogdan, Ryan, Alexander S. Hatoum, Emma C. Johnson, & Arpana Agrawal. (2022). The Genetically Informed Neurobiology of Addiction (GINA) model. Nature reviews. Neuroscience. 24(1). 40–57. 23 indexed citations

Deak, Joseph D., Hang Zhou, Marco Galimberti, et al.. (2022). Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci. Molecular Psychiatry. 27(10). 3970–3979. 53 indexed citations

10.

Colbert, Sarah M. C., Alexander S. Hatoum, Andrey A. Shabalin, et al.. (2021). Exploring the genetic overlap of suicide‐related behaviors and substance use disorders. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 186(8). 445–455. 19 indexed citations

11.

Hatoum, Alexander S., Emma C. Johnson, Sarah M. C. Colbert, et al.. (2021). The addiction risk factor: A unitary genetic vulnerability characterizes substance use disorders and their associations with common correlates. Neuropsychopharmacology. 47(10). 1739–1745. 63 indexed citations

12.

Bountress, Kaitlin E., Frank R. Wendt, Arpana Agrawal, et al.. (2021). Potential causal effect of posttraumatic stress disorder on alcohol use disorder and alcohol consumption in individuals of European descent: A Mendelian Randomization Study. Alcoholism Clinical and Experimental Research. 45(8). 1616–1623. 14 indexed citations

13.

Colbert, Sarah M. C., Emma C. Johnson, Claire L. Morrison, et al.. (2021). Novel characterization of the multivariate genetic architecture of internalizing psychopathology and alcohol use. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 186(6). 353–366. 6 indexed citations

14.

Hatoum, Alexander S., Emma C. Johnson, David A. A. Baranger, et al.. (2021). Polygenic risk scores for alcohol involvement relate to brain structure in substance‐naïve children: Results from the ABCD study. Genes Brain & Behavior. 20(6). e12756–e12756. 10 indexed citations

15.

Huggett, Spencer B., Emma C. Johnson, Alexander S. Hatoum, et al.. (2021). Genes identified in rodent studies of alcohol intake are enriched for heritability of human substance use. Alcoholism Clinical and Experimental Research. 45(12). 2485–2494. 4 indexed citations

16.

Evans, Luke M., Emma C. Johnson, John K. Hewitt, et al.. (2020). The Role of A Priori–Identified Addiction and Smoking Gene Sets in Smoking Behaviors. Nicotine & Tobacco Research. 22(8). 1310–1315. 5 indexed citations

17.

Johnson, Emma C., Spencer B. Huggett, Jason A. Bubier, et al.. (2020). Interpretation of psychiatric genome-wide association studies with multispecies heterogeneous functional genomic data integration. Neuropsychopharmacology. 46(1). 86–97. 14 indexed citations

18.

Barr, Peter B., Albert J. Ksinan, Jinni Su, et al.. (2020). Using polygenic scores for identifying individuals at increased risk of substance use disorders in clinical and population samples. Translational Psychiatry. 10(1). 196–196. 31 indexed citations

19.

Johnson, Emma C., Celine L. St. Pierre, Jacquelyn L. Meyers, et al.. (2019). The Genetic Relationship Between Alcohol Consumption and Aspects of Problem Drinking in an Ascertained Sample. Alcoholism Clinical and Experimental Research. 43(6). 1113–1125. 10 indexed citations

20.

Johnson, Emma C., Luke M. Evans, & Matthew C. Keller. (2018). Relationships between estimated autozygosity and complex traits in the UK Biobank. PLoS Genetics. 14(7). e1007556–e1007556. 28 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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