Nedra Lexow

643 total citations
9 papers, 543 citations indexed

About

Nedra Lexow is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Nedra Lexow has authored 9 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 2 papers in Neurology. Recurrent topics in Nedra Lexow's work include Neurotransmitter Receptor Influence on Behavior (6 papers), Receptor Mechanisms and Signaling (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Nedra Lexow is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (6 papers), Receptor Mechanisms and Signaling (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). Nedra Lexow collaborates with scholars based in United States. Nedra Lexow's co-authors include Andrew Winokur, Jeffrey N. Joyce, Joel E. Kleinman, Manuel F. Casanova, Edward J. Bird, Edward D. Bird, Roman Artymyshyn, Soo Jin Kim, P. David Mozley and Karl Plößl and has published in prestigious journals such as Biological Psychiatry, Neuropsychopharmacology and Neuroreport.

In The Last Decade

Nedra Lexow

9 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nedra Lexow United States	6	416	191	189	89	87	9	543
G. Jungkunz Germany	13	399 1.0×	212 1.1×	183 1.0×	158 1.8×	68 0.8×	25	653
Hisao Nakai Japan	7	323 0.8×	190 1.0×	199 1.1×	24 0.3×	64 0.7×	7	430
Manuelle Touzard France	11	452 1.1×	320 1.7×	107 0.6×	67 0.8×	49 0.6×	14	637
Ana Hitri United States	16	386 0.9×	203 1.1×	129 0.7×	79 0.9×	79 0.9×	30	585
Jantiena B. Sebens Netherlands	15	381 0.9×	216 1.1×	83 0.4×	64 0.7×	63 0.7×	24	540
R. Alexander Bantick United Kingdom	6	254 0.6×	148 0.8×	133 0.7×	33 0.4×	114 1.3×	8	394
Christopher H van Dyck United States	4	438 1.1×	164 0.9×	316 1.7×	81 0.9×	226 2.6×	6	749
G. Williams United States	5	339 0.8×	239 1.3×	151 0.8×	25 0.3×	234 2.7×	9	637
Tabasum Hussain Australia	6	201 0.5×	120 0.6×	102 0.5×	46 0.5×	49 0.6×	7	336
Françoise Ko Canada	9	441 1.1×	305 1.6×	55 0.3×	38 0.4×	68 0.8×	9	553

Countries citing papers authored by Nedra Lexow

Since Specialization

Citations

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

Fields of papers citing papers by Nedra Lexow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nedra Lexow

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

All Works

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9 of 9 papers shown

1.

Kushner, Steven A., William McElgin, M P Kung, et al.. (1999). Kinetic modeling of [99mTc]TRODAT-1: a dopamine transporter imaging agent.. PubMed. 40(1). 150–8. 27 indexed citations

2.

Gary, Keith A., Patricia J. Sollars, Nedra Lexow, Andrew Winokur, & Gary E. Pickard. (1996). Thyrotropin-releasing hormone phase shifts circadian rhythms in hamsters. Neuroreport. 7(10). 1631–1634. 10 indexed citations

3.

Lexow, Nedra. (1996). Localization and expression of thyrotropin-releasing hormone in rat and cat retina. Scholarly Commons (University of Pennsylvania). 1 indexed citations

4.

Lexow, Nedra, Jeffrey N. Joyce, Soo Jin Kim, et al.. (1994). Alterations in TRH receptors in temporal lobe of schizophrenics: A quantitative autoradiographic study. Synapse. 18(4). 315–327. 6 indexed citations

5.

Joyce, Jeffrey N., et al.. (1993). Serotonin Uptake Sites and Serotonin Receptors Are Altered in the Limbic System of Schizophrenics. Neuropsychopharmacology. 8(4). 315–336. 297 indexed citations

6.

Joyce, Jeffrey N., Nedra Lexow, Soo Jin Kim, et al.. (1992). Distribution of beta‐adrenergic receptor subtypes in human post‐mortem brain: Alterations in limbic regions of schizophrenics. Synapse. 10(3). 228–246. 63 indexed citations

7.

Joyce, Jeffrey N., et al.. (1989). Alterations in dopaminergic, serotonergic and B-adrenergic systems within limbic associated regions of schizophrenic striatum. Biological Psychiatry. 25(7). A100–A101. 1 indexed citations

8.

Lexow, Nedra, et al.. (1989). Alterations in bilateral distribution of beta-adrenergic receptor subtypes in schizophrenia and suicide. Biological Psychiatry. 25(7). A197–A197. 2 indexed citations

9.

Joyce, Jeffrey N., Nedra Lexow, Edward J. Bird, & Andrew Winokur. (1988). Organization of dopamine D1 and D2 receptors in human striatum: Receptor autoradiographic studies in Huntington's disease and schizophrenia. Synapse. 2(5). 546–557. 136 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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