William E. Samsa
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
-
- DNA Repair Mechanisms 4
- Ubiquitin and proteasome pathways 3
- TGF-β signaling in diseases 2
- Cancer-related gene regulation 2
- Oncology 4
- PARP inhibition in cancer therapy 4
- Co-authors
- Roman V. Kondratov (3 shared papers)Guang Zhou (7 shared papers)Véronique Lefèbvre (1 shared paper)Amit Vasanji (1 shared paper)Ronald J. Midura (1 shared paper)Xin Zhou (1 shared paper)Murali K. Mamidi (5 shared papers)Brendan Lee (3 shared papers)
- Journals
- Seminars in Cell and Developmental Biology (2 papers)Journal of Cellular Physiology (2 papers)Nucleic Acids Research (2 papers)Bone (2 papers)Aging (1 paper)
- Partner nations
- United States
In The Last Decade
William E. Samsa
13 papers receiving 579 citations
Peers
Comparison fields: 5 of 74
- Aging 117
- Endocrine and Autonomic Systems 257
- Physiology 181
- Rheumatology 89
- Cancer Research 72
Countries citing papers authored by William E. Samsa
This map shows the geographic impact of William E. Samsa'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 William E. Samsa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Samsa more than expected).
Fields of papers citing papers by William E. Samsa
This network shows the impact of papers produced by William E. Samsa. 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 William E. Samsa. The network helps show where William E. Samsa may publish in the future.
Co-authors
The 22 scholars most cited alongside William E. Samsa, 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 | 2010 | 152 | |
| 2 | 2016 | 118 | |
| 3 | 2016 | 102 | |
| 4 | 2010 | 77 | |
| 5 | 2016 | 65 | |
| 6 | 2020 | 22 | |
| 7 | Targeted and sustained Sox9 expression in mouse hypertrophic chondrocytes causes severe and spontaneous osteoarthritis by perturbing cartilage homeostasis. | 2020 | 16 |
| 8 | 2023 | 9 | |
| 9 | 2024 | 9 | |
| 10 | 2021 | 4 | |
| 11 | 2020 | 3 | |
| 12 | The transcription co-factor JAB1/COPS5, serves as a potential oncogenic hub of human chondrosarcoma cells in vitro. | 2021 | 2 |
| 13 | 2024 | 1 | |
| 14 | 2024 | 0 |
About William E. Samsa
William E. Samsa is a scholar working on Molecular Biology, Oncology, Endocrine and Autonomic Systems, Rheumatology and Physiology, having authored 14 papers that have together received 580 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), PARP inhibition in cancer therapy (4 papers), Circadian rhythm and melatonin (3 papers), Ubiquitin and proteasome pathways (3 papers), TGF-β signaling in diseases (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Cancer-related gene regulation (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Aging (117 citations), Endocrine and Autonomic Systems (257 citations), Physiology (181 citations), Rheumatology (89 citations) and Cancer Research (72 citations). William E. Samsa has collaborated with scholars based in United States. Frequent co-authors include Roman V. Kondratov, Guang Zhou, Véronique Lefèbvre, Amit Vasanji, Ronald J. Midura, Xin Zhou, Murali K. Mamidi, Brendan Lee, Zihua Gong and Zhen Zhang. Their work appears in journals such as Seminars in Cell and Developmental Biology, Journal of Cellular Physiology, Nucleic Acids Research, Bone and Aging.
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.