Donna S. Shewach
- Molecular Biology top 2%
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Epidemiology top 5%
- Cancer Research top 2%
- Co-authors
- Theodore S. LawrenceLarry W. HertelMichael M. ImRobert D. KuchtaTina M. HahnLeo J. OstruszkaBeverly S. MitchellPaul D. Boucher
- Topics
- Biochemical and Molecular Research (28 papers)DNA Repair Mechanisms (27 papers)Virus-based gene therapy research (15 papers)
- Cited by
- OncologyPhysiologyCancer Research
- Partner nations
- United StatesRussiaIsrael
In The Last Decade
Donna S. Shewach
98 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 2.8k
- Oncology 1.8k
- Pulmonary and Respiratory Medicine 843
- Epidemiology 720
- Cancer Research 690
Countries citing papers authored by Donna S. Shewach
This map shows the geographic impact of Donna S. Shewach'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 Donna S. Shewach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna S. Shewach more than expected).
Fields of papers citing papers by Donna S. Shewach
This network shows the impact of papers produced by Donna S. Shewach. 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 Donna S. Shewach. The network helps show where Donna S. Shewach may publish in the future.
Co-authorship network of co-authors of Donna S. Shewach
This figure shows the co-authorship network connecting the top 25 collaborators of Donna S. Shewach. A scholar is included among the top collaborators of Donna S. Shewach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donna S. Shewach. Donna S. Shewach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 7 | |
| 3 | Nucleotide Deficiency Promotes Genomic Instability in Early Stages of Cancer Developmentbreakdown → | 635 |
| 4 | 17 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | Activation of mismatch repair protects cells against ganciclovir cytotoxicity through decreasing errors in DNA replication | 1 |
| 8 | siRNA for p53R2 inhibits increases in p53R2 expression following exposure to DNA damaging agents. | 1 |
| 9 | 12 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 10 | |
| 13 | 255 | |
| 14 | 121 | |
| 15 | 24 | |
| 16 | 99 | |
| 17 | 18 | |
| 18 | 26 | |
| 19 | 1 | |
| 20 | Relationship between ARA-ATP concentration, DNA synthetic capacity (DSC) and viability in CHO cells | 1 |
About Donna S. Shewach
Donna S. Shewach is a scholar working on Physiology, Molecular Biology and Oncology, having authored 98 papers that have together received 5.0k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (28 papers), DNA Repair Mechanisms (27 papers) and Virus-based gene therapy research (15 papers). The work is most often cited by research in Oncology (1.8k citations), Physiology (237 citations) and Cancer Research (690 citations). Donna S. Shewach has collaborated with scholars based in United States, Russia and Israel. Frequent co-authors include Theodore S. Lawrence, Larry W. Hertel, Michael M. Im, Robert D. Kuchta, Tina M. Hahn, Leo J. Ostruszka, Beverly S. Mitchell, Paul D. Boucher, Emily Yun‐Chia Chang and Batsheva Kerem. Their work appears in journals such as Cell, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.