Erik Naylor

34 papers receiving 1.7k citations

Peers

Erik Naylor
Comparison fields: 5 of 120
  • Endocrine and Autonomic Systems 460
  • Clinical Biochemistry 382
  • Experimental and Cognitive Psychology 592
  • Cognitive Neuroscience 541
  • Aging 26
Replace Bernardo Dalla Bernardina with:
Bernardo Dalla Bernardina Italy
Wolfgang Sperling Germany
Antonio Labad Spain
S. M. Schanberg United States
Francis Filloux United States
Olav B. Smeland Norway
Olivier Bonnot France
Anthony H. Tsang Germany
Rossella Medori Belgium
Naoji Amano Japan
Erik Naylor relative to Bernardo Dalla Bernardina Italy Bernardo Dalla Bernardina's profile →
Citations per field
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Citations per year

Countries citing papers authored by Erik Naylor

Since Specialization
Citations

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

Fields of papers citing papers by Erik Naylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Erik Naylor, 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 Erik Naylor Line = papers co-authored together Erik Naylor links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010445
2 2000269
3 1995186
4 2000177
5 201289
6 201065
7 198055
8 199854
9 201149
10 197939
11 198137
12 199330
13 199826
14 200824
15 201520
16 199818
17
Clark's Positioning in radiography
198617
18 198116
19 200915
20 199215

About Erik Naylor

Erik Naylor is a scholar working on Molecular Biology, Clinical Biochemistry, Physiology, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (12 papers), Sleep and Wakefulness Research (8 papers), Circadian rhythm and melatonin (7 papers), Diet and metabolism studies (5 papers), Sleep and related disorders (4 papers), Folate and B Vitamins Research (4 papers), Mitochondrial Function and Pathology (3 papers) and Thyroid Disorders and Treatments (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (460 citations), Clinical Biochemistry (382 citations), Experimental and Cognitive Psychology (592 citations), Cognitive Neuroscience (541 citations) and Aging (26 citations). Erik Naylor has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Phyllis C. Zee, Brandon Lu, Kelly Glazer Baron, Lisa F. Wolfe, Kathryn J. Reid, Fred W. Turek, Bernard M. Bergmann, Joseph S. Takahashi, Martha Hotz Vitaterna and David S. Millington. Their work appears in journals such as Journal of Inherited Metabolic Disease, Clinical Chemistry, SLEEP, Sleep Medicine and The Journal of Pediatrics.

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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