Earle Bain

3.3k total citations
44 papers, 2.2k citations indexed

About

Earle Bain is a scholar working on Genetics, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Earle Bain has authored 44 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 10 papers in Psychiatry and Mental health and 8 papers in Molecular Biology. Recurrent topics in Earle Bain's work include Glioma Diagnosis and Treatment (11 papers), Bipolar Disorder and Treatment (6 papers) and Treatment of Major Depression (6 papers). Earle Bain is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Bipolar Disorder and Treatment (6 papers) and Treatment of Major Depression (6 papers). Earle Bain collaborates with scholars based in United States, Netherlands and United Kingdom. Earle Bain's co-authors include Wayne C. Drevets, Allison C. Nugent, Dennis S. Charney, Alexander Neumeister, David A. Luckenbaugh, Omer Bonne, Carlos A. Zarate, Dara M. Cannon, Peter Herscovitch and William C. Eckelman and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and NeuroImage.

In The Last Decade

Earle Bain

44 papers receiving 2.2k citations

Peers

Earle Bain
Min-Soo Lee South Korea
Earle Bain
Citations per year, relative to Earle Bain Earle Bain (= 1×) peers Min-Soo Lee

Countries citing papers authored by Earle Bain

Since Specialization
Citations

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

Fields of papers citing papers by Earle Bain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Earle Bain

This figure shows the co-authorship network connecting the top 25 collaborators of Earle Bain. A scholar is included among the top collaborators of Earle Bain 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 Earle Bain. Earle Bain 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.
Matthews, Tim, Marian S. Macsai, Ryan Merrell, et al.. (2023). A Phase 3b Study for Management of Ocular Side Effects in Patients with Epidermal Growth Factor Receptor-Amplified Glioblastoma Receiving Depatuxizumab Mafodotin. Ophthalmic Research. 66(1). 1030–1043. 3 indexed citations
2.
French, Pim J., Marica Eoli, Juan Manuel Sepúlveda-Sánchez, et al.. (2019). Defining EGFR amplification status for clinical trial inclusion. Neuro-Oncology. 21(10). 1263–1272. 28 indexed citations
3.
Lassman, Andrew B., Kenneth Aldape, Peter Ansell, et al.. (2019). Epidermal growth factor receptor (EGFR) amplification rates observed in screening patients for randomized trials in glioblastoma. Journal of Neuro-Oncology. 144(1). 205–210. 30 indexed citations
4.
Bent, Martin J. van den, Lisa Roberts-Rapp, Peter Ansell, et al.. (2017). Epidermal growth factor receptor (EGFR) amplification rates observed in screening patients for randomized clinical trials in glioblastoma. Annals of Oncology. 28. v110–v110. 1 indexed citations
5.
Bain, Earle, Laura Shafner, David P. Walling, et al.. (2017). Use of a Novel Artificial Intelligence Platform on Mobile Devices to Assess Dosing Compliance in a Phase 2 Clinical Trial in Subjects With Schizophrenia. JMIR mhealth and uhealth. 5(2). e18–e18. 100 indexed citations
6.
Haig, George M., Deli Wang, Jun Zhao, Mohamed I. A. Othman, & Earle Bain. (2017). Efficacy and Safety of the α7-Nicotinic Acetylcholine Receptor Agonist ABT-126 in the Treatment of Cognitive Impairment Associated With Schizophrenia. The Journal of Clinical Psychiatry. 79(3). 13 indexed citations
7.
Lassman, Andrew B., Martin J. van den Bent, Hui Gan, et al.. (2016). Efficacy of a novel antibody-drug conjugate (ADC), ABT-414, with temozolomide (TMZ) in recurrent glioblastoma (rGBM). Annals of Oncology. 27. vi103–vi103. 2 indexed citations
8.
Nugent, Allison C., Earle Bain, Paul J. Carlson, et al.. (2013). Reduced post-synaptic serotonin type 1A receptor binding in bipolar depression. European Neuropsychopharmacology. 23(8). 822–829. 25 indexed citations
9.
Bain, Earle, Weining Robieson, Yili Pritchett, et al.. (2012). A Randomized, Double-Blind, Placebo-Controlled Phase 2 Study of α4β2 Agonist ABT-894 in Adults with ADHD. Neuropsychopharmacology. 38(3). 405–413. 46 indexed citations
10.
Nugent, Allison C., Earle Bain, Julian F. Thayer, John J. Sollers, & Wayne C. Drevets. (2011). Sex differences in the neural correlates of autonomic arousal: A pilot PET study. International Journal of Psychophysiology. 80(3). 182–191. 63 indexed citations
11.
Nugent, Allison C., Earle Bain, Julian F. Thayer, John J. Sollers, & Wayne C. Drevets. (2010). Heart rate variability during motor and cognitive tasks in females with major depressive disorder. Psychiatry Research Neuroimaging. 191(1). 1–8. 45 indexed citations
12.
Day, Mark L., Earle Bain, Gerard J. Marek, Mario Saltarelli, & Gerard B. Fox. (2010). D3 receptor target engagement in humans with ABT-925 using [11C](+)-PHNO PET. The International Journal of Neuropsychopharmacology. 13(3). 291–291. 4 indexed citations
13.
Savitz, Jonathan, Allison C. Nugent, Jonathan P. Roiser, et al.. (2010). Habenula Volume in Bipolar Disorder and Major Depressive Disorder: A High-Resolution Magnetic Resonance Imaging Study. Biological Psychiatry. 69(4). 336–343. 146 indexed citations
14.
Savitz, Jonathan, Allison C. Nugent, Alice Liu, et al.. (2009). Amygdala volume in depressed patients with bipolar disorder assessed using high resolution 3T MRI: The impact of medication. NeuroImage. 49(4). 2966–2976. 83 indexed citations
15.
Bonne, Omer, Meena Vythilingam, Masatoshi Inagaki, et al.. (2008). Reduced Posterior Hippocampal Volume in Posttraumatic Stress Disorder. The Journal of Clinical Psychiatry. 69(7). 1087–1091. 108 indexed citations
16.
Holmes, M. Kathleen, Kristine Erickson, David A. Luckenbaugh, et al.. (2008). A comparison of cognitive functioning in medicated and unmedicated subjects with bipolar depression. Bipolar Disorders. 10(7). 806–815. 71 indexed citations
17.
Hasler, Gregor, Alexander Neumeister, Jan Willem van der Veen, et al.. (2005). Normal Prefrontal Gamma-Aminobutyric Acid Levels in Remitted Depressed Subjects Determined by Proton Magnetic Resonance Spectroscopy. Biological Psychiatry. 58(12). 969–973. 105 indexed citations
18.
Nugent, Allison C., Michael P. Milham, Earle Bain, et al.. (2005). Cortical abnormalities in bipolar disorder investigated with MRI and voxel-based morphometry. NeuroImage. 30(2). 485–497. 172 indexed citations
19.
Neumeister, Alexander, Suzanne Wood, Omer Bonne, et al.. (2005). Reduced hippocampal volume in unmedicated, remitted patients with major depression versus control subjects. Biological Psychiatry. 57(8). 935–937. 220 indexed citations
20.
Neumeister, Alexander, Earle Bain, Allison C. Nugent, et al.. (2004). Reduced Serotonin Type 1AReceptor Binding in Panic Disorder: Figure 1.. Journal of Neuroscience. 24(3). 589–591. 272 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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