Lora Lee McClain

33 papers receiving 1.1k citations

Peers

Lora Lee McClain
Comparison fields: 5 of 94
  • Biological Psychiatry 137
  • Endocrine and Autonomic Systems 95
  • Behavioral Neuroscience 37
  • Developmental Neuroscience 39
  • Aging 17
Replace Yuko Arioka with:
Yuko Arioka Japan
Martin Minns United States
Brianna E. Heath United States
Maureen N. Cowan United States
Björn Owe‐Larsson Sweden
Eryan Kong China
Geoffrey T. Norris United States
Frederico Azevedo Costa‐Pinto Brazil
Craig T. Werner United States
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Citations per field
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Citations per year

Countries citing papers authored by Lora Lee McClain

Since Specialization
Citations

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

Fields of papers citing papers by Lora Lee McClain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lora Lee McClain. 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 Lora Lee McClain. The network helps show where Lora Lee McClain may publish in the future.

Co-authors

The 25 scholars most cited alongside Lora Lee McClain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lora Lee McClain Line = papers co-authored together Lora Lee McClain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009144
2 2007123
3 2014100
4 201986
5 201584
6 202053
7 202152
8 201446
9 202136
10 201735
11 201833
12 201724
13 201523
14 202122
15 201019
16 201317
17 202017
18 201517
19 200916
20 201016

About Lora Lee McClain

Lora Lee McClain is a scholar working on Biological Psychiatry, Genetics, Molecular Biology, Epidemiology and Clinical Biochemistry, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Tryptophan and brain disorders (5 papers), Herpesvirus Infections and Treatments (5 papers), Epigenetics and DNA Methylation (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Chemical synthesis and alkaloids (2 papers), Receptor Mechanisms and Signaling (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Biological Psychiatry (137 citations), Endocrine and Autonomic Systems (95 citations), Behavioral Neuroscience (37 citations), Developmental Neuroscience (39 citations) and Aging (17 citations). Lora Lee McClain has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Vishwajit Laxmikant Nimgaonkar, Robert H. Yolken, Leonardo D’Aiuto, Kodavali V. Chowdari, Konasale M. R. Prasad, Paul R. Kinchington, Paolo A. Piazza, Lisa A. Pan, Luigi Viggiano and Joel Wood. Their work appears in journals such as Translational Psychiatry, Schizophrenia Research, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Bioorganic & Medicinal Chemistry Letters and Psychoneuroendocrinology.

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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