William E. Samsa
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
-
- Circadian rhythm and melatonin 3
- Aging 2
- Co-authors
- Roman V. Kondratov (3 shared papers)Guang Dong 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)Zhen Zhang (4 shared papers)Zihua Gong (4 shared papers)
- Journals
- Bone (2 papers)Seminars in Cell and Developmental Biology (2 papers)Nucleic Acids Research (2 papers)Journal of Cellular Physiology (2 papers)Molecular and Cellular Biochemistry (1 paper)
- Partner nations
- United StatesHong KongChina
In The Last Decade
William E. Samsa
14 papers receiving 619 citations
Peers
Comparison fields: 5 of 73
- Aging 119
- Endocrine and Autonomic Systems 270
- Physiology 172
- Rheumatology 91
- Cancer Research 70
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 | 164 | |
| 2 | 2016 | 125 | |
| 3 | 2016 | 113 | |
| 4 | 2010 | 79 | |
| 5 | 2016 | 71 | |
| 6 | 2020 | 23 | |
| 7 | Targeted and sustained Sox9 expression in mouse hypertrophic chondrocytes causes severe and spontaneous osteoarthritis by perturbing cartilage homeostasis. | 2020 | 16 |
| 8 | 2023 | 11 | |
| 9 | 2024 | 9 | |
| 10 | 2021 | 3 | |
| 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 | 2 | |
| 14 | 2024 | 1 |
About William E. Samsa
William E. Samsa is a scholar working on Endocrine and Autonomic Systems, Aging, Molecular Biology, Oncology and Cancer Research, having authored 14 papers that have together received 622 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 molecular mechanisms research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Aging (119 citations), Endocrine and Autonomic Systems (270 citations), Physiology (172 citations), Rheumatology (91 citations) and Cancer Research (70 citations). William E. Samsa has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Roman V. Kondratov, Guang Dong Zhou, Véronique Lefèbvre, Amit Vasanji, Ronald J. Midura, Xin Zhou, Zhen Zhang, Zihua Gong, Murali Krishna Mamidi and Brendan Lee. Their work appears in journals such as Bone, Seminars in Cell and Developmental Biology, Nucleic Acids Research, Journal of Cellular Physiology and Molecular and Cellular Biochemistry.
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.