Gil D. Hoftman

1.5k total citations
23 papers, 739 citations indexed

About

Gil D. Hoftman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Gil D. Hoftman has authored 23 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Cognitive Neuroscience. Recurrent topics in Gil D. Hoftman's work include Neuroscience and Neuropharmacology Research (9 papers), Congenital heart defects research (5 papers) and Neural dynamics and brain function (4 papers). Gil D. Hoftman is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Congenital heart defects research (5 papers) and Neural dynamics and brain function (4 papers). Gil D. Hoftman collaborates with scholars based in United States, Netherlands and Canada. Gil D. Hoftman's co-authors include David A. Lewis, Dibyadeep Datta, H. Holly Bazmi, David W. Volk, Songhui Li, A.R. Sampson, Kenneth N. Fish, Samuel J. Dienel, Carrie E. Bearden and Paul M. Thompson and has published in prestigious journals such as Journal of Neuroscience, Biological Psychiatry and Cerebral Cortex.

In The Last Decade

Gil D. Hoftman

23 papers receiving 731 citations

Peers

Gil D. Hoftman
Samuel J. Dienel United States
Masahito Nakataki Japan
Sandy Popp Germany
Oleg Granstrem Russia
Jens Benninghoff Germany
Kristina A. Simeone United States
Yohtaro Numachi Japan
Puay San Woon Singapore
Ru Band Lu Taiwan
P Yuan United States
Samuel J. Dienel United States
Gil D. Hoftman
Citations per year, relative to Gil D. Hoftman Gil D. Hoftman (= 1×) peers Samuel J. Dienel

Countries citing papers authored by Gil D. Hoftman

Since Specialization
Citations

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

Fields of papers citing papers by Gil D. Hoftman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gil D. Hoftman. 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 Gil D. Hoftman. The network helps show where Gil D. Hoftman may publish in the future.

Co-authorship network of co-authors of Gil D. Hoftman

This figure shows the co-authorship network connecting the top 25 collaborators of Gil D. Hoftman. A scholar is included among the top collaborators of Gil D. Hoftman 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 Gil D. Hoftman. Gil D. Hoftman 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
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Hernandez, Leanna M., Minsoo Kim, Pan Zhang, et al.. (2023). Multi-ancestry phenome-wide association of complement component 4 variation with psychiatric and brain phenotypes in youth. Genome biology. 24(1). 42–42. 7 indexed citations
4.
Hoftman, Gil D., Leila Kushan, Jamie Zinberg, et al.. (2023). Neurobehavioral risk factors influence prevalence and severity of hazardous substance use in youth at genetic and clinical high risk for psychosis. Frontiers in Psychiatry. 14. 1143315–1143315. 2 indexed citations
5.
Kushan, Leila, Charles Schleifer, Gil D. Hoftman, et al.. (2023). Distinct neurocognitive profiles and clinical phenotypes associated with copy number variation at the 22q11.2 locus. Autism Research. 16(12). 2247–2262. 5 indexed citations
6.
Wilson, Andrew, Nicholas Jackson, David E. Krantz, et al.. (2023). A comparison of self- and observer-rated scales for detecting clinical improvement during repetitive transcranial stimulation (rTMS) treatment of depression. Psychiatry Research. 330. 115608–115608. 7 indexed citations
7.
Fiksinski, Ania, Gil D. Hoftman, Jacob Vorstman, & Carrie E. Bearden. (2022). A genetics-first approach to understanding autism and schizophrenia spectrum disorders: the 22q11.2 deletion syndrome. Molecular Psychiatry. 28(1). 341–353. 27 indexed citations
8.
Lin, Amy, Jennifer K. Forsyth, Gil D. Hoftman, et al.. (2021). Transcriptomic profiling of whole blood in 22q11.2 reciprocal copy number variants reveals that cell proportion highly impacts gene expression. Brain Behavior & Immunity - Health. 18. 100386–100386. 5 indexed citations
9.
Hernandez, Leanna M., Minsoo Kim, Gil D. Hoftman, et al.. (2020). Transcriptomic Insight Into the Polygenic Mechanisms Underlying Psychiatric Disorders. Biological Psychiatry. 89(1). 54–64. 33 indexed citations
10.
Dienel, Samuel J., John F. Enwright, Gil D. Hoftman, & David A. Lewis. (2019). Markers of glutamate and GABA neurotransmission in the prefrontal cortex of schizophrenia subjects: Disease effects differ across anatomical levels of resolution. Schizophrenia Research. 217. 86–94. 25 indexed citations
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Hoftman, Gil D., Samuel J. Dienel, H. Holly Bazmi, et al.. (2017). Altered Gradients of Glutamate and Gamma-Aminobutyric Acid Transcripts in the Cortical Visuospatial Working Memory Network in Schizophrenia. Biological Psychiatry. 83(8). 670–679. 46 indexed citations
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Hoftman, Gil D., Dibyadeep Datta, & David A. Lewis. (2016). Layer 3 Excitatory and Inhibitory Circuitry in the Prefrontal Cortex: Developmental Trajectories and Alterations in Schizophrenia. Biological Psychiatry. 81(10). 862–873. 77 indexed citations
14.
González‐Burgos, Guillermo, Takeaki Miyamae, Diego E. Pafundo, et al.. (2014). Functional Maturation of GABA Synapses During Postnatal Development of the Monkey Dorsolateral Prefrontal Cortex. Cerebral Cortex. 25(11). 4076–4093. 47 indexed citations
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Hoftman, Gil D., David W. Volk, H. Holly Bazmi, et al.. (2013). Altered Cortical Expression of GABA-Related Genes in Schizophrenia: Illness Progression vs Developmental Disturbance. Schizophrenia Bulletin. 41(1). 180–191. 116 indexed citations
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Fish, Kenneth N., et al.. (2013). Parvalbumin-Containing Chandelier and Basket Cell Boutons Have Distinctive Modes of Maturation in Monkey Prefrontal Cortex. Journal of Neuroscience. 33(19). 8352–8358. 52 indexed citations
17.
Erp, Theo G.M. van, Paul M. Thompson, Tuula Kieseppä, et al.. (2011). Hippocampal morphology in lithium and non‐lithium‐treated bipolar I disorder patients, non‐bipolar co‐twins, and control twins. Human Brain Mapping. 33(3). 501–510. 57 indexed citations
18.
Hoftman, Gil D. & David A. Lewis. (2011). Postnatal Developmental Trajectories of Neural Circuits in the Primate Prefrontal Cortex: Identifying Sensitive Periods for Vulnerability to Schizophrenia. Schizophrenia Bulletin. 37(3). 493–503. 100 indexed citations
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Ogren, Jennifer A., Anatol Bragin, Charles L. Wilson, et al.. (2008). Three‐dimensional hippocampal atrophy maps distinguish two common temporal lobe seizure–onset patterns. Epilepsia. 50(6). 1361–1370. 75 indexed citations
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Hoftman, Nir, Michelle Braunfeld, Gil D. Hoftman, & Aman Mahajan. (2006). Peripheral venous pressure as a predictor of central venous pressure during orthotopic liver transplantation. Journal of Clinical Anesthesia. 18(4). 251–255. 30 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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