Lynn Cherkas

10.7k citations
73 papers · 4.5k indexed · h-index 38

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Migraine and Headache Studies
    • Sexual function and dysfunction studies

Papers in

Lynn Cherkas

73 papers receiving 4.3k citations

Peers

Lynn Cherkas
Comparison fields: 5 of 156
  • Aging 375
  • Psychiatry and Mental health 634
  • Clinical Psychology 858
  • Physiology 1.1k
  • Management of Technology and Innovation 281
Replace Matthew McGue with:
Matthew McGue United States
Michelle Luciano United Kingdom
Helena Liu Australia
Meike Bartels Netherlands
Salomon Israel Israel
Tinca J. C. Polderman Netherlands
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Judy L. Cameron United States
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Citations per field
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Citations per year

Countries citing papers authored by Lynn Cherkas

Since Specialization
Citations

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

Fields of papers citing papers by Lynn Cherkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201812
2 201142
3 201093
4 2009171
5 200880
6 200899
7
The genetic determinants of knee disorders requiring surgery: A classical twin study
20071
8 200778
9 200733
10 20075
11 200640
12 200641
13 200674
14 2006256
15 200423
16 200454
17 200436
18 200315
19
Genetic influences in irritable bowel syndrome: A twin study
20026
20
Genetic associations between frozen shoulder and tennis elbow: A female twin study
200239

About Lynn Cherkas

Lynn Cherkas is a scholar working on Experimental and Cognitive Psychology, Aging, Psychiatry and Mental health, Reproductive Medicine and Behavioral Neuroscience, having authored 73 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cognitive Abilities and Testing (6 papers), Genetic Associations and Epidemiology (6 papers), Biochemical Analysis and Sensing Techniques (6 papers), Telomeres, Telomerase, and Senescence (5 papers), Humor Studies and Applications (5 papers), Obsessive-Compulsive Spectrum Disorders (5 papers), Birth, Development, and Health (5 papers) and Sexual Differentiation and Disorders (5 papers). The work is most often cited by research in Aging (375 citations), Psychiatry and Mental health (634 citations), Clinical Psychology (858 citations), Physiology (1.1k citations) and Management of Technology and Innovation (281 citations). Lynn Cherkas has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Tim D. Spector, Alex J. MacGregor, Scott Shane, Nicos Nicolaou, Ana M. Valdes, David Mataix‐Cols, Bernet Kato, Abraham Aviv, Masayuki Kimura and Alessandra C. Iervolino. Their work appears in journals such as Twin Research and Human Genetics, PLoS ONE, American Journal of Clinical Nutrition, American Journal of Medical Genetics Part B Neuropsychiatric Genetics and The Journal of Sexual Medicine.

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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