Diana E. Libuda
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Connective Tissue Growth Factor Research
- Photosynthetic Processes and Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
-
- DNA Repair Mechanisms 13
- Photosynthetic Processes and Mechanisms 7
- CRISPR and Genetic Engineering 6
- Genomics and Chromatin Dynamics 5
- Mitochondrial Function and Pathology 3
- Aging 13
- Genetics, Aging, and Longevity in Model Organisms 13
- Co-authors
- Anne M. Villeneuve (5 shared papers)Aaron Daluiski (1 shared paper)Karen M. Lyons (1 shared paper)Sanja Ivković (1 shared paper)Fayez Safadi (1 shared paper)Steven N. Popoff (1 shared paper)Robert C. Stephenson (1 shared paper)Simona Rosu (3 shared papers)
- Journals
- Genetics (4 papers)PLoS Genetics (3 papers)Current Biology (2 papers)Development (2 papers)eLife (2 papers)
- Partner nations
- United States
In The Last Decade
Diana E. Libuda
21 papers receiving 1.2k citations
Diana E. Libuda's Hit Papers
Peers
Comparison fields: 5 of 74
- Aging 164
- Molecular Biology 1.1k
- Cell Biology 132
- Genetics 197
- Cancer Research 97
Countries citing papers authored by Diana E. Libuda
This map shows the geographic impact of Diana E. Libuda'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 Diana E. Libuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana E. Libuda more than expected).
Fields of papers citing papers by Diana E. Libuda
This network shows the impact of papers produced by Diana E. Libuda. 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 Diana E. Libuda. The network helps show where Diana E. Libuda may publish in the future.
Co-authors
The 25 scholars most cited alongside Diana E. Libuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Connective tissue growth factor coordinates chondrogenesis and angiogenesis during skeletal development Hit paper breakdown → | 2003 | 576 |
| 2 | 2013 | 133 | |
| 3 | 2013 | 105 | |
| 4 | 2011 | 103 | |
| 5 | 2006 | 72 | |
| 6 | 2020 | 41 | |
| 7 | 2019 | 31 | |
| 8 | 2014 | 26 | |
| 9 | 2020 | 25 | |
| 10 | 2019 | 21 | |
| 11 | 2010 | 19 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 15 | |
| 14 | 2023 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Diana E. Libuda
Diana E. Libuda is a scholar working on Molecular Biology, Aging, Cell Biology, Genetics and Endocrine and Autonomic Systems, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers), Photosynthetic Processes and Mechanisms (7 papers), CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (5 papers), Mitochondrial Function and Pathology (3 papers), Microtubule and mitosis dynamics (2 papers) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Aging (164 citations), Molecular Biology (1.1k citations), Cell Biology (132 citations), Genetics (197 citations) and Cancer Research (97 citations). Diana E. Libuda has collaborated with scholars based in United States. Frequent co-authors include Anne M. Villeneuve, Aaron Daluiski, Karen M. Lyons, Sanja Ivković, Fayez Safadi, Steven N. Popoff, Robert C. Stephenson, Simona Rosu, Fred Winston and Barbara J Meyer. Their work appears in journals such as Genetics, PLoS Genetics, Current Biology, Development and eLife.
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.