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.
The Role of Cerebrospinal Fluid Hypocretin Measurement in the Diagnosis of Narcolepsy and Other Hypersomnias
2002729 citationsEmmanuel Mignot, Gert Jan Lammers et al.Archives of Neurologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of John Harsh'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 John Harsh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Harsh more than expected).
This network shows the impact of papers produced by John Harsh. 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 John Harsh. The network helps show where John Harsh may publish in the future.
Co-authorship network of co-authors of John Harsh
This figure shows the co-authorship network connecting the top 25 collaborators of John Harsh.
A scholar is included among the top collaborators of John Harsh 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 John Harsh. John Harsh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mastin, David, et al.. (2012). THE RELATIONSHIP BETWEEN WEIGHT GAIN AND SLEEP AND SLEEPINESS DURING THE TRANSITION FROM HIGH SCHOOL THROUGH THE COLLEGE YEARS. SLEEP. 35.1 indexed citations
3.
Harsh, John. (2010). Effect of Armodafinil on Patient Functioning and Fatigue: A Multicenter, Randomized, Double-Blind, Placebo-Controlled, Parallel-Group Study in Patients with Residual Excessive Sleepiness Associated with Treated Obstructive Sleep Apnea and a Comorbid Depressive Disorder. SLEEP. 33.1 indexed citations
4.
Harsh, John. (2010). The Relationship of Sleep Hygiene and Sleep Quality to Stress and Burnout Among College Students. SLEEP. 33.1 indexed citations
5.
Harsh, John. (2009). Chronotype, Sleep Hygiene, and Academic Performance in High School and College. SLEEP. 32.1 indexed citations
6.
Harsh, John. (2009). Maintenance of Efficacy, Safety and Tolerability of Armodafinil: An Open-Label Extension Study. SLEEP. 32.2 indexed citations
Harsh, John, et al.. (2006). Armodafinil Improves Subjective Measures of Sleepiness In Patients With Excessive Sleepiness Associated With Obstructive Sleep Apnea/Hypopnea Syndrome, Narcolepsy, and Shift Work Sleep Disorder. SLEEP. 29.3 indexed citations
10.
Crosby, Brian, et al.. (2006). Mid-Sleep Time and School Readiness In Black and White Preschool Children. SLEEP. 29.5 indexed citations
Harsh, John, et al.. (2002). A Measure of Children's Sleep Hygiene. SLEEP. 25.37 indexed citations
14.
Antal, Holly, et al.. (2002). The Relationship Between Parental Involvement and Behavioral Sleep Quality in Preschool Aged Children. SLEEP. 25.2 indexed citations
15.
Mignot, Emmanuel, Gert Jan Lammers, Beth Ripley, et al.. (2002). The Role of Cerebrospinal Fluid Hypocretin Measurement in the Diagnosis of Narcolepsy and Other Hypersomnias. Archives of Neurology. 59(10). 1553–1553.729 indexed citations breakdown →
16.
Harsh, John, et al.. (2001). A New Research Measure for Children's Sleep. SLEEP. 24.12 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.