Jonathan Hess

2.1k total citations
35 papers, 780 citations indexed

About

Jonathan Hess is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Jonathan Hess has authored 35 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 9 papers in Molecular Biology and 8 papers in Cognitive Neuroscience. Recurrent topics in Jonathan Hess's work include Genetic Associations and Epidemiology (12 papers), Autism Spectrum Disorder Research (5 papers) and Medical Imaging Techniques and Applications (4 papers). Jonathan Hess is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Autism Spectrum Disorder Research (5 papers) and Medical Imaging Techniques and Applications (4 papers). Jonathan Hess collaborates with scholars based in United States, United Kingdom and Norway. Jonathan Hess's co-authors include Stephen J. Glatt, M. X. Zarrow, Victor H. Denenberg, Stephen V. Faraone, Wolfgang Pfeifer, Ming T. Tsuang, Seymore Simon, Yanli Zhang‐James, Joyce van de Leemput and Daniel S. Tylee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Endocrinology and Journal of Abnormal Psychology.

In The Last Decade

Jonathan Hess

33 papers receiving 751 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Hess United States 17 195 193 165 157 153 35 780
Soo‐Jeong Kim South Korea 13 100 0.5× 354 1.8× 108 0.7× 142 0.9× 87 0.6× 40 753
Nadia Francia Italy 15 237 1.2× 195 1.0× 232 1.4× 229 1.5× 79 0.5× 27 985
Daniel S. Tylee United States 16 233 1.2× 107 0.6× 45 0.3× 178 1.1× 193 1.3× 24 841
Melanie P. Leussis United States 16 332 1.7× 190 1.0× 324 2.0× 196 1.2× 242 1.6× 25 1.1k
J. Dee Higley United States 13 172 0.9× 178 0.9× 311 1.9× 77 0.5× 121 0.8× 17 891
Sarah Canetta United States 13 190 1.0× 251 1.3× 190 1.2× 68 0.4× 179 1.2× 21 915
Nadja Freund Germany 20 232 1.2× 326 1.7× 261 1.6× 52 0.3× 185 1.2× 52 1.0k
Catherine L. Jensen United States 9 126 0.6× 101 0.5× 218 1.3× 103 0.7× 204 1.3× 9 790
Allison M. J. Anacker United States 15 182 0.9× 306 1.6× 430 2.6× 194 1.2× 176 1.2× 22 997
Galen Missig United States 13 308 1.6× 219 1.1× 324 2.0× 87 0.6× 144 0.9× 18 885

Countries citing papers authored by Jonathan Hess

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Hess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Hess

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

All Works

20 of 20 papers shown
1.
Hess, Jonathan, et al.. (2025). Towards industrially relevant total variation based reconstruction of few-view computed tomography by exploiting noise level estimation. CIRP journal of manufacturing science and technology. 61. 336–352.
2.
Ghosh, Auyon, Santosh Kumar Panda, Aravind Menon, et al.. (2025). LungGENIE: the lung gene-expression and network imputation engine. BMC Genomics. 26(1). 227–227. 1 indexed citations
3.
Hess, Jonathan, et al.. (2024). The constrained split Bregman algorithm for enhancing the quality of image reconstruction and analysis in few-view computed tomography. SHILAP Revista de lepidopterología. 29(3). 1 indexed citations
4.
Mazza, Tommaso, Jonathan Hess, Steven D. Blatt, et al.. (2023). Novel genome‐wide associations for effort valuation and psychopathology in children and adults. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 195(4). e32964–e32964. 2 indexed citations
5.
Hess, Jonathan, Manuel Mattheisen, Tiffany A. Greenwood, et al.. (2023). A polygenic resilience score moderates the genetic risk for schizophrenia: Replication in 18,090 cases and 28,114 controls from the Psychiatric Genomics Consortium. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 195(2). e32957–e32957. 5 indexed citations
6.
7.
Bartscher, Markus, Frank Dennerlein, Patrick Fuchs, et al.. (2023). Introduction to “Realistic Simulation of real CT systems with a basic-qualified Simulation Software - CTSimU2“. e-Journal of Nondestructive Testing. 28(3). 1 indexed citations
8.
Hess, Jonathan, et al.. (2022). Polygenic risk for alcohol consumption and multisite chronic pain: Associations with ad lib drinking behavior.. Experimental and Clinical Psychopharmacology. 31(5). 933–941. 1 indexed citations
9.
Radonjić, Nevena V., Jonathan Hess, Paula Rovira, et al.. (2021). Structural brain imaging studies offer clues about the effects of the shared genetic etiology among neuropsychiatric disorders. Molecular Psychiatry. 26(6). 2101–2110. 48 indexed citations
10.
Hess, Jonathan, et al.. (2020). Autophagy, apoptosis, and neurodevelopmental genes might underlie selective brain region vulnerability in attention-deficit/hyperactivity disorder. Molecular Psychiatry. 26(11). 6643–6654. 22 indexed citations
11.
12.
Zaso, Michelle J., Stephen A. Maisto, Stephen J. Glatt, Jonathan Hess, & Aesoon Park. (2020). Effects of Polygenic Risk and Perceived Friends’ Drinking and Disruptive Behavior on Development of Alcohol Use Across Adolescence. Journal of Studies on Alcohol and Drugs. 81(6). 808–815. 3 indexed citations
13.
Zhang‐James, Yanli, Noèlia Fernàndez‐Castillo, Jonathan Hess, et al.. (2018). An integrated analysis of genes and functional pathways for aggression in human and rodent models. Molecular Psychiatry. 24(11). 1655–1667. 59 indexed citations
14.
Hess, Jonathan, et al.. (2017). Why is there selective subcortical vulnerability in ADHD? Clues from postmortem brain gene expression data. Molecular Psychiatry. 23(8). 1787–1793. 26 indexed citations
15.
Breen, Michael S., Daniel S. Tylee, Adam X. Maihofer, et al.. (2017). PTSD Blood Transcriptome Mega-Analysis: Shared Inflammatory Pathways across Biological Sex and Modes of Trauma. Neuropsychopharmacology. 43(3). 469–481. 77 indexed citations
16.
Bousman, Chad, Vanessa Cropley, Paul Klauser, et al.. (2017). Neuregulin-1 (NRG1) polymorphisms linked with psychosis transition are associated with enlarged lateral ventricles and white matter disruption in schizophrenia. Psychological Medicine. 48(5). 801–809. 10 indexed citations
17.
Tylee, Daniel S., Jonathan Hess, Thomas P. Quinn, et al.. (2016). Blood transcriptomic comparison of individuals with and without autism spectrum disorder: A combined‐samples mega‐analysis. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 174(3). 181–201. 37 indexed citations
18.
Hess, Jonathan, Simone de Jong, Roel A. Ophoff, et al.. (2016). Transcriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophrenia. Schizophrenia Research. 176(2-3). 114–124. 66 indexed citations
19.
Leemput, Joyce van de, Jonathan Hess, Stephen J. Glatt, & Ming T. Tsuang. (2016). Genetics of Schizophrenia. Advances in genetics. 96. 99–141. 44 indexed citations
20.
Hess, Jonathan, et al.. (2015). The influence of genes on “positive valence systems” constructs: A systematic review. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 171(1). 92–110. 12 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Soo‐Jeong Kim Breakdown of academic impact, for papers by Nadia Francia Breakdown of academic impact, for papers by Daniel S. Tylee Breakdown of academic impact, for papers by Melanie P. Leussis Breakdown of academic impact, for papers by J. Dee Higley Breakdown of academic impact, for papers by Sarah Canetta Breakdown of academic impact, for papers by Nadja Freund Breakdown of academic impact, for papers by Catherine L. Jensen Breakdown of academic impact, for papers by Allison M. J. Anacker Breakdown of academic impact, for papers by Galen Missig
Rankless by CCL
2026