Laura D. Mathies
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Developmental Biology and Gene Regulation
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
Papers in
- Aging 18
- Genetics, Aging, and Longevity in Model Organisms 18
-
- Reproductive Biology and Fertility 9
- Co-authors
- Matthew P. ScottJudith KimbleDeborah J. AndrewMichael A. HornerWenlin ZengJ. Robert ManakStephen KerridgeEdward Large
- Journals
- Development (7 papers)G3 Genes Genomes Genetics (3 papers)Alcoholism Clinical and Experimental Research (2 papers)Developmental Biology (2 papers)BMC Genomics (2 papers)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Laura D. Mathies
28 papers receiving 741 citations
Peers
Comparison fields: 5 of 79
- Aging 255
- Molecular Biology 534
- Endocrine and Autonomic Systems 50
- Genetics 173
- Cellular and Molecular Neuroscience 112
Countries citing papers authored by Laura D. Mathies
This map shows the geographic impact of Laura D. Mathies'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 D. Mathies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura D. Mathies more than expected).
Fields of papers citing papers by Laura D. Mathies
This network shows the impact of papers produced by Laura D. Mathies. 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 D. Mathies. The network helps show where Laura D. Mathies may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura D. Mathies, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 5 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 11 | |
| 9 | 2019 | 4 | |
| 10 | 2017 | 8 | |
| 11 | 2014 | 19 | |
| 12 | 2012 | 8 | |
| 13 | 2009 | 13 | |
| 14 | 2008 | 31 | |
| 15 | 2007 | 6 | |
| 16 | 2007 | 54 | |
| 17 | 2002 | 41 | |
| 18 | 1999 | 33 | |
| 19 | 1994 | 66 | |
| 20 | 1992 | 10 |
About Laura D. Mathies
Laura D. Mathies is a scholar working on Aging, Public Health, Environmental and Occupational Health, Genetics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 29 papers that have together received 749 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (18 papers), Reproductive Biology and Fertility (9 papers), CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Developmental Biology and Gene Regulation (4 papers), Epigenetics and DNA Methylation (3 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Aging (255 citations), Molecular Biology (534 citations), Endocrine and Autonomic Systems (50 citations), Genetics (173 citations) and Cellular and Molecular Neuroscience (112 citations). Laura D. Mathies has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Matthew P. Scott, Judith Kimble, Deborah J. Andrew, Michael A. Horner, Wenlin Zeng, J. Robert Manak, Stephen Kerridge, Edward Large, Jill C. Bettinger and David P. Welchman. Their work appears in journals such as Development, G3 Genes Genomes Genetics, Alcoholism Clinical and Experimental Research, Developmental Biology and BMC Genomics.
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.