Daniel D. Langleben

5.6k total citations
78 papers, 3.6k citations indexed

About

Daniel D. Langleben is a scholar working on Cognitive Neuroscience, Social Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel D. Langleben has authored 78 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 21 papers in Social Psychology and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel D. Langleben's work include Deception detection and forensic psychology (17 papers), Neurotransmitter Receptor Influence on Behavior (14 papers) and Neural and Behavioral Psychology Studies (11 papers). Daniel D. Langleben is often cited by papers focused on Deception detection and forensic psychology (17 papers), Neurotransmitter Receptor Influence on Behavior (14 papers) and Neural and Behavioral Psychology Studies (11 papers). Daniel D. Langleben collaborates with scholars based in United States, Brazil and Germany. Daniel D. Langleben's co-authors include James Loughead, Ruben C. Gur, Kosha Ruparel, Anna Rose Childress, Charles P. O’Brien, Norbert Sachser, Igor Elman, George M. Segall, Paul Root Wolpe and Kenneth R. Foster and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel D. Langleben

75 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel D. Langleben United States	30	1.9k	1.3k	724	717	417	78	3.6k
Jean‐Claude Dreher France	35	3.0k 1.6×	729 0.6×	724 1.0×	935 1.3×	663 1.6×	83	4.8k
Sören Krach Germany	35	2.3k 1.2×	1.2k 1.0×	501 0.7×	752 1.0×	282 0.7×	100	3.9k
Rongjun Yu China	39	3.2k 1.7×	839 0.7×	577 0.8×	1.0k 1.4×	231 0.6×	171	5.0k
Alexander Strobel Germany	35	1.6k 0.9×	767 0.6×	997 1.4×	994 1.4×	970 2.3×	113	4.5k
Xiaosi Gu United States	30	2.6k 1.4×	913 0.7×	573 0.8×	895 1.2×	391 0.9×	78	3.9k
Lucy L. Brown United States	26	932 0.5×	1.2k 1.0×	698 1.0×	921 1.3×	810 1.9×	52	3.5k
Daren C. Jackson United States	29	1.4k 0.8×	800 0.6×	879 1.2×	1.1k 1.5×	249 0.6×	56	3.8k
Jatin G. Vaidya United States	26	1.7k 0.9×	929 0.7×	743 1.0×	1.2k 1.6×	256 0.6×	58	3.8k
Caroline F. Zink United States	18	1.8k 1.0×	846 0.7×	343 0.5×	714 1.0×	366 0.9×	23	3.0k
Paul F. Collins United States	28	1.8k 0.9×	614 0.5×	1.1k 1.5×	1.1k 1.5×	719 1.7×	55	4.1k

Countries citing papers authored by Daniel D. Langleben

Since Specialization

Citations

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

Fields of papers citing papers by Daniel D. Langleben

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel D. Langleben

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

Shi, Zhenhao, Xinyi Li, Kevin G. Lynch, et al.. (2024). Medial prefrontal neuroplasticity during extended-release naltrexone treatment of opioid use disorder – a longitudinal structural magnetic resonance imaging study. Translational Psychiatry. 14(1). 360–360. 5 indexed citations

Shi, Zhenhao, Xinyi Li, Charles P. O’Brien, et al.. (2023). Effects of current smoking severity on brain gray matter volume in opioid use disorder – a voxel-based morphometry study. The American Journal of Drug and Alcohol Abuse. 49(2). 180–189. 2 indexed citations

Li, Xinyi, Peter Manza, Ilya M. Nasrallah, et al.. (2023). Hippocampal volume loss in individuals with a history of non‐fatal opioid overdose. Addiction Biology. 28(10). e13336–e13336. 2 indexed citations

Li, Xinyi, Daniel D. Langleben, Kevin G. Lynch, et al.. (2023). Association between body mass index and treatment completion in extended-release naltrexone-treated patients with opioid dependence. Frontiers in Psychiatry. 14. 1247961–1247961. 1 indexed citations

James, Morgan H., Jennifer E. Fragale, R. Nisha Aurora, et al.. (2020). Repurposing the dual orexin receptor antagonist suvorexant for the treatment of opioid use disorder: why sleep on this any longer?. Neuropsychopharmacology. 45(5). 717–719. 43 indexed citations

Chao, Guoqing, Jiangwen Sun, Jin Lü, et al.. (2019). Multi-view cluster analysis with incomplete data to understand treatment effects. Information Sciences. 494. 278–293. 63 indexed citations

Shi, Zhenhao, et al.. (2019). <p>Connectivity between visual and auditory cortices mediates the influence of argument strength on the effectiveness of smoking-cessation videos among smokers low in sensation seeking</p>. Psychology Research and Behavior Management. Volume 12. 531–542. 3 indexed citations

Langleben, Daniel D., et al.. (2018). Who Speaks for Neuroscience? Neuroimaging Evidence and Courtroom Expertise. Case Western Reserve law review. 68(3). 783–803. 3 indexed citations

Shi, Zhenhao, et al.. (2018). Emotional salience of the image component facilitates recall of the text of cigarette warning labels. European Journal of Public Health. 29(1). 153–158. 6 indexed citations

10.

Wang, Anli, Steven B. Lowen, Igor Elman, et al.. (2017). Sustained opioid antagonism modulates striatal sensitivity to baby schema in opioid use disorder. Journal of Substance Abuse Treatment. 85. 70–77. 11 indexed citations

11.

Ceresér, Keila Maria Mendes, et al.. (2017). Increased cocaine and amphetamine-regulated transcript cord blood levels in the newborns exposed to crack cocaine in utero. Psychopharmacology. 235(1). 215–222. 4 indexed citations

12.

Regier, Paul S., Zachary A. Monge, Teresa R. Franklin, et al.. (2016). Emotional, physical and sexual abuse are associated with a heightened limbic response to cocaine cues. Addiction Biology. 22(6). 1768–1777. 25 indexed citations

13.

Elman, Igor, Steven B. Lowen, Kevin G. Lynch, et al.. (2015). Neural correlates of adherence to extended-release naltrexone pharmacotherapy in heroin dependence. Translational Psychiatry. 5(3). e531–e531. 34 indexed citations

14.

Langleben, Daniel D., et al.. (2009). Baby Schema in Infant Faces Induces Cuteness Perception and Motivation for Caretaking in Adults. Ethology. 115(3). 257–263. 373 indexed citations

15.

Monterosso, John & Daniel D. Langleben. (2008). Homo economicus' soul. Journal of Marketing Research. 45(6). 648–650. 2 indexed citations

16.

Langleben, Daniel D., et al.. (2007). Acute Effect of Methadone Maintenance Dose on Brain fMRI Response to Heroin-Related Cues. American Journal of Psychiatry. 165(3). 390–394. 148 indexed citations

17.

Langleben, Daniel D., et al.. (2006). Effect of methylphenidate on Stroop Color–Word task performance in children with attention deficit hyperactivity disorder. Psychiatry Research. 141(3). 315–320. 37 indexed citations

18.

Wolpe, Paul Root, Kenneth R. Foster, & Daniel D. Langleben. (2005). Emerging Neurotechnologies for Lie-Detection: Promises and Perils. The American Journal of Bioethics. 5(2). 39–49. 98 indexed citations

19.

Davatzikos, Christos, Kosha Ruparel, Yong Fan, et al.. (2005). Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection. NeuroImage. 28(3). 663–668. 305 indexed citations

20.

Elman, Igor, David Rott, Alan I. Green, et al.. (2004). Effects of pharmacological doses of 2-deoxyglucose on plasma catecholamines and glucose levels in patients with schizophrenia. Psychopharmacology. 176(3-4). 369–375. 11 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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