Philip D. Kohn

4.7k total citations · 1 hit paper
53 papers, 3.7k citations indexed

About

Philip D. Kohn is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Philip D. Kohn has authored 53 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 13 papers in Cellular and Molecular Neuroscience and 13 papers in Psychiatry and Mental health. Recurrent topics in Philip D. Kohn's work include Functional Brain Connectivity Studies (15 papers), Williams Syndrome Research (10 papers) and Schizophrenia research and treatment (10 papers). Philip D. Kohn is often cited by papers focused on Functional Brain Connectivity Studies (15 papers), Williams Syndrome Research (10 papers) and Schizophrenia research and treatment (10 papers). Philip D. Kohn collaborates with scholars based in United States, Czechia and France. Philip D. Kohn's co-authors include Karen F. Berman, Andreas Meyer‐Lindenberg, Daniel R. Weinberger, Rosanna K. Olsen, Michael Egan, Bhaskar Kolachana, Jean‐Claude Dreher, J. Shane Kippenhan, Timothy T. Brown and John L. Holt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Philip D. Kohn

50 papers receiving 3.6k 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.

Reduced prefrontal activity predicts exaggerated striatal dopaminergic function in schizophrenia

2002 515 citations Andreas Meyer‐Lindenberg, Philip D. Kohn et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip D. Kohn United States	23	1.9k	846	810	500	441	53	3.7k
Golijeh Golarai United States	24	1.6k 0.8×	1.2k 1.4×	498 0.6×	511 1.0×	486 1.1×	36	3.0k
Scott Schobel United States	23	1.2k 0.6×	1.3k 1.6×	1.0k 1.3×	838 1.7×	191 0.4×	43	3.8k
Henrik Dobrowolny Germany	29	2.0k 1.0×	798 0.9×	925 1.1×	742 1.5×	240 0.5×	122	5.0k
Michael T. Alkire United States	28	2.7k 1.4×	1.0k 1.2×	301 0.4×	256 0.5×	732 1.7×	38	4.5k
Joseph I. Friedman United States	28	1.1k 0.6×	873 1.0×	1.6k 2.0×	683 1.4×	186 0.4×	49	4.2k
Thomas H. Wassink United States	30	1.6k 0.8×	554 0.7×	696 0.9×	844 1.7×	191 0.4×	55	3.1k
Ahmad R. Hariri United States	26	1.7k 0.9×	1.5k 1.8×	708 0.9×	923 1.8×	363 0.8×	41	4.5k
Lynn D. Selemon United States	27	2.6k 1.3×	2.2k 2.6×	1.5k 1.8×	1.0k 2.1×	383 0.9×	50	5.6k
Bob Oranje Denmark	37	2.5k 1.3×	826 1.0×	1.3k 1.6×	489 1.0×	76 0.2×	129	4.1k
Stuart M. Zola United States	28	3.5k 1.8×	2.2k 2.6×	496 0.6×	611 1.2×	364 0.8×	54	5.2k

Countries citing papers authored by Philip D. Kohn

Since Specialization

Citations

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

Fields of papers citing papers by Philip D. Kohn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip D. Kohn

This figure shows the co-authorship network connecting the top 25 collaborators of Philip D. Kohn. A scholar is included among the top collaborators of Philip D. Kohn 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 Philip D. Kohn. Philip D. Kohn 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

Eisenberg, Daniel P., Rachael K. Blackman, Philip D. Kohn, et al.. (2024). Genetic risk for treatment resistant schizophrenia and corresponding variation in dopamine synthesis capacity and D2/3 receptor availability in healthy individuals. Molecular Psychiatry. 30(6). 2645–2652.

Nash, Tiffany, Philip D. Kohn, Carolyn Β. Mervis, et al.. (2024). Contrasting neurofunctional correlates of face- and visuospatial-processing in children and adolescents with Williams syndrome: convergent results from four fMRI paradigms. Scientific Reports. 14(1). 10304–10304.

Martinez, Pedro E., Michael D. Gregory, J. Shane Kippenhan, et al.. (2023). Changes in Brain Structure Associated with Adrenarche in Typically Developing Prepubertal Children. Psychoneuroendocrinology. 153. 106265–106265. 1 indexed citations

Kippenhan, J. Shane, Michael D. Gregory, Tiffany Nash, et al.. (2023). Dorsal visual stream and LIMK1: hemideletion, haplotype, and enduring effects in children with Williams syndrome. Journal of Neurodevelopmental Disorders. 15(1). 29–29. 2 indexed citations

Chen, Gang, Tiffany Nash, Philip D. Kohn, et al.. (2021). Beyond linearity in neuroimaging: Capturing nonlinear relationships with application to longitudinal studies. NeuroImage. 233. 117891–117891. 7 indexed citations

Ianni, Angela, Philip D. Kohn, Bhaskar Kolachana, et al.. (2021). Polymorphism in the ZNF804A Gene and Variation in D1 and D2/D3 Dopamine Receptor Availability in the Healthy Human Brain: A Dual Positron Emission Tomography Study. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 8(1). 121–128. 2 indexed citations

Martinez, Pedro E., Tuong‐Vi Nguyen, Michael D. Gregory, et al.. (2021). The NIMH Intramural Longitudinal Study of the Endocrine and Neurobiological Events Accompanying Puberty: Protocol and rationale for methods and measures. NeuroImage. 234. 117970–117970. 6 indexed citations

Baller, Erica B., Pedro E. Martinez, Howard J. Li, et al.. (2021). Subgenual cingulate resting regional cerebral blood flow in premenstrual dysphoric disorder: differential regulation by ovarian steroids and preliminary evidence for an association with expression of ESC/E(Z) complex genes. Translational Psychiatry. 11(1). 206–206. 5 indexed citations

Eisenberg, Daniel P., et al.. (2021). Clinical correlation but no elevation of striatal dopamine synthesis capacity in two independent cohorts of medication-free individuals with schizophrenia. Molecular Psychiatry. 27(2). 1241–1247. 6 indexed citations

10.

Gregory, Michael D., J. Shane Kippenhan, Philip D. Kohn, et al.. (2020). Neanderthal-Derived Genetic Variation is Associated with Functional Connectivity in the Brains of Living Humans. Brain Connectivity. 11(1). 38–44. 10 indexed citations

11.

Jabbi, Mbemba, Tiffany Nash, Philip D. Kohn, et al.. (2017). BDNF ValMet polymorphism tunes frontolimbic circuitry during affective contextual learning. NeuroImage. 162. 373–383. 5 indexed citations

12.

Eisenberg, Daniel P., Lisa Yankowitz, Angela Ianni, et al.. (2017). Presynaptic Dopamine Synthesis Capacity in Schizophrenia and Striatal Blood Flow Change During Antipsychotic Treatment and Medication-Free Conditions. Neuropsychopharmacology. 42(11). 2232–2241. 16 indexed citations

13.

Eisenberg, Daniel P., Philip D. Kohn, J. Shane Kippenhan, et al.. (2012). Brain-Derived Neurotrophic Factor Val⁶⁶Met Polymorphism Affects Resting Regional Cerebral Blood Flow and Functional Connectivity Differentially in Women Versus Men. Journal of Neuroscience. 32(20). 7074–7081. 38 indexed citations

14.

Dreher, Jean‐Claude, Paul F. Koch, Philip D. Kohn, et al.. (2012). Common and Differential Pathophysiological Features Accompany Comparable Cognitive Impairments in Medication-Free Patients with Schizophrenia and in Healthy Aging Subjects. Biological Psychiatry. 71(10). 890–897. 28 indexed citations

15.

Longenecker, Julia, et al.. (2010). Data-driven methodology illustrating mechanisms underlying word list recall: Applications to clinical research.. Neuropsychology. 24(5). 625–636. 11 indexed citations

16.

Eisenberg, Daniel P., Deepak K. Sarpal, Philip D. Kohn, et al.. (2009). Catechol-O-Methyltransferase Valine158Methionine Genotype and Resting Regional Cerebral Blood Flow in Medication-Free Patients with Schizophrenia. Biological Psychiatry. 67(3). 287–290. 18 indexed citations

17.

Meyer‐Lindenberg, Andreas, Philip D. Kohn, Bhaskar Kolachana, et al.. (2005). Midbrain dopamine and prefrontal function in humans: interaction and modulation by COMT genotype. Nature Neuroscience. 8(5). 594–596. 339 indexed citations

18.

Kippenhan, J. Shane, Rosanna K. Olsen, Carolyn Β. Mervis, et al.. (2005). Genetic Contributions to Human Gyrification: Sulcal Morphometry in Williams Syndrome. Journal of Neuroscience. 25(34). 7840–7846. 109 indexed citations

19.

Buchsbaum, Bradley R., Rosanna K. Olsen, Paul F. Koch, et al.. (2004). Reading, hearing, and the planum temporale. NeuroImage. 24(2). 444–454. 68 indexed citations

20.

Meyer‐Lindenberg, Andreas, Philip D. Kohn, John L. Holt, et al.. (2001). Evidence for Abnormal Cortical Functional Connectivity During Working Memory in Schizophrenia. American Journal of Psychiatry. 158(11). 1809–1817. 418 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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