Vanessa L. Horner
- Aging top 5%
- Reproductive Medicine top 10%
- Genetics top 10%
- Genomic variations and chromosomal abnormalities 5
- Genomics and Rare Diseases 4
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- Reproductive Biology and Fertility 3
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- Lipoproteins and Cardiovascular Health 5
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- Cancer Genomics and Diagnostics 4
- Cancer, Lipids, and Metabolism 3
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- Neurobiology and Insect Physiology Research 3
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- Multiple Myeloma Research and Treatments 2
- Co-authors
- Mariana F. WolfnerTamara CasparyStanley K. SessionsKatharine L. SacktonJun CuiNorene A. BuehnerSatomi TakeoCaroline V. Sartain
- Cited by
- AgingReproductive MedicineGenetics
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)Circulation (2 papers)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Vanessa L. Horner
31 papers receiving 836 citations
Peers
Comparison fields: 5 of 84
- Aging 68
- Reproductive Medicine 87
- Genetics 221
- Molecular Biology 426
- Public Health, Environmental and Occupational Health 173
Countries citing papers authored by Vanessa L. Horner
This map shows the geographic impact of Vanessa L. Horner'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 Vanessa L. Horner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vanessa L. Horner more than expected).
Fields of papers citing papers by Vanessa L. Horner
This network shows the impact of papers produced by Vanessa L. Horner. 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 Vanessa L. Horner. The network helps show where Vanessa L. Horner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vanessa L. Horner, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 16 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 0 | |
| 11 | 2021 | 35 | |
| 12 | 2020 | 34 | |
| 13 | 2019 | 41 | |
| 14 | 2012 | 38 | |
| 15 | 2012 | 20 | |
| 16 | 2011 | 9 | |
| 17 | 2010 | 27 | |
| 18 | 2010 | 5 | |
| 19 | 2008 | 76 | |
| 20 | 2006 | 55 |
About Vanessa L. Horner
Vanessa L. Horner is a scholar working on Aging, Cancer Research and Genetics, having authored 34 papers that have together received 852 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Genomics and Rare Diseases (4 papers), Cancer Genomics and Diagnostics (4 papers), Reproductive Biology and Fertility (3 papers), Neurobiology and Insect Physiology Research (3 papers), Cancer, Lipids, and Metabolism (3 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Aging (68 citations), Reproductive Medicine (87 citations) and Genetics (221 citations). Vanessa L. Horner has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Mariana F. Wolfner, Tamara Caspary, Stanley K. Sessions, Katharine L. Sackton, Jun Cui, Norene A. Buehner, Satomi Takeo, Caroline V. Sartain, Toshiro Aigaki and Kristina A. Matkowskyj. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Circulation.
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.