Laura Perna

66 papers receiving 3.0k citations

Laura Perna's Hit Papers

Epigenetic age acceleration predicts cancer, cardiovascular, and all-cause mortality in a German case cohort 2016 · 447 citations
4470+4+8Years since publication100200300400

Peers

Laura Perna
Comparison fields: 5 of 128
  • Pathology and Forensic Medicine 854
  • Geriatrics and Gerontology 116
  • Aging 61
  • Psychiatry and Mental health 328
  • Physiology 485
Replace Aladdin H. Shadyab with:
Aladdin H. Shadyab United States
Susan E. Rubin United States
Ikuyo Imayama United States
Sherry Sherman United States
Tinh‐Hai Collet Switzerland
Anne Heidi Skogholt Norway
Lucía Romero Spain
Xiang Fang China
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Citations per field
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Citations per year

Countries citing papers authored by Laura Perna

Since Specialization
Citations

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

Fields of papers citing papers by Laura Perna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Epigenetic age acceleration predicts cancer, cardiovascular, and all-cause mortality in a German case cohort
Hit paper breakdown →
2016447
2
Vitamin D and mortality: meta-analysis of individual participant data from a large consortium of cohort studies from Europe and the United States
Hit paper breakdown →
2014353
3 2013246
4 2016238
5 2018164
6 2014101
7 201191
8 202379
9 201873
10 201870
11 202269
12 201363
13 201160
14 201356
15 202054
16 201752
17 201450
18 202147
19 201546
20 202139

About Laura Perna

Laura Perna is a scholar working on Psychiatry and Mental health, Pathology and Forensic Medicine, Physiology, Rheumatology and Genetics, having authored 66 papers that have together received 3.0k indexed citations. Recurring topics across this work include Vitamin D Research Studies (15 papers), Dementia and Cognitive Impairment Research (14 papers), Alzheimer's disease research and treatments (7 papers), Genetic Associations and Epidemiology (5 papers), Nutritional Studies and Diet (4 papers), Epigenetics and DNA Methylation (4 papers), Diet and metabolism studies (4 papers) and Bone health and osteoporosis research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (854 citations), Geriatrics and Gerontology (116 citations), Aging (61 citations), Psychiatry and Mental health (328 citations) and Physiology (485 citations). Laura Perna has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Hermann Brenner, Bernd Holleczek, Ben Schöttker, Kai-Uwe Saum, Ute Mons, Hannah R. Stocker, Yan Zhang, Heiko Müller, Tobias Möllers and Dan Rujescu. Their work appears in journals such as Alzheimer s & Dementia, Alzheimer s Research & Therapy, Dementia and Geriatric Cognitive Disorders, Experimental Gerontology and Translational Psychiatry.

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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