Cleta D’Sa-Eipper
Impact in
- Developmental Neuroscience top 5%
- Molecular Biology top 10%
- Cell death mechanisms and regulation
- Mitochondrial Function and Pathology
- RNA Interference and Gene Delivery
- Ubiquitin and proteasome pathways
Papers in
-
- Cell death mechanisms and regulation 8
- DNA Repair Mechanisms 1
- Oncology 3
- Cancer-related Molecular Pathways 3
- Co-authors
- G. Chinnadurai (7 shared papers)T. Subramanian (4 shared papers)Kevin A. Roth (4 shared papers)Scott Malstrom (1 shared paper)Ute Schaeper (1 shared paper)Tejas Subramanian (1 shared paper)Elangovan Boobalan (1 shared paper)Leelavathi Venkatesh (1 shared paper)
- Journals
- Oncogene (2 papers)Journal of Neuroscience (1 paper)Development (1 paper)Developmental Neuroscience (1 paper)Cell (1 paper)
- Partner nations
- United States
In The Last Decade
Cleta D’Sa-Eipper
11 papers receiving 990 citations
Peers
Comparison fields: 5 of 81
- Developmental Neuroscience 76
- Molecular Biology 754
- Cancer Research 143
- Oncology 219
- Immunology 156
Countries citing papers authored by Cleta D’Sa-Eipper
This map shows the geographic impact of Cleta D’Sa-Eipper'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 Cleta D’Sa-Eipper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cleta D’Sa-Eipper more than expected).
Fields of papers citing papers by Cleta D’Sa-Eipper
This network shows the impact of papers produced by Cleta D’Sa-Eipper. 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 Cleta D’Sa-Eipper. The network helps show where Cleta D’Sa-Eipper may publish in the future.
Co-authors
The 22 scholars most cited alongside Cleta D’Sa-Eipper, 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 | 1994 | 407 | |
| 2 | 2001 | 107 | |
| 3 | bfl-1, a bcl-2 homologue, suppresses p53-induced apoptosis and exhibits potent cooperative transforming activity. | 1996 | 94 |
| 4 | 2000 | 89 | |
| 5 | 2001 | 62 | |
| 6 | Deletion of a nonconserved region of Bcl-2 confers a novel gain of function: suppression of apoptosis with concomitant cell proliferation. | 1996 | 61 |
| 7 | 1998 | 60 | |
| 8 | Unmasking of a proliferation-restraining activity of the anti-apoptosis protein EBV BHRF1. | 1996 | 50 |
| 9 | 2000 | 44 | |
| 10 | 1998 | 27 | |
| 11 | 1994 | 8 |
About Cleta D’Sa-Eipper
Cleta D’Sa-Eipper is a scholar working on Molecular Biology, Oncology, Cancer Research, Infectious Diseases and Virology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), MicroRNA in disease regulation (3 papers), Cancer-related Molecular Pathways (3 papers), interferon and immune responses (1 paper), HIV Research and Treatment (1 paper), Cytomegalovirus and herpesvirus research (1 paper), DNA Repair Mechanisms (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Developmental Neuroscience (76 citations), Molecular Biology (754 citations), Cancer Research (143 citations), Oncology (219 citations) and Immunology (156 citations). Cleta D’Sa-Eipper has collaborated with scholars based in United States. Frequent co-authors include G. Chinnadurai, T. Subramanian, Kevin A. Roth, Scott Malstrom, Ute Schaeper, Tejas Subramanian, Elangovan Boobalan, Leelavathi Venkatesh, Richard A. Flavell and Pasko Rakić. Their work appears in journals such as Oncogene, Journal of Neuroscience, Development, Developmental Neuroscience and Cell.
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.