Eneida Pardo
Impact in
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- Multiple Myeloma Research and Treatments
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- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Ubiquitin and proteasome pathways
- Chemical Synthesis and Analysis
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
Papers in
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- Protein Degradation and Inhibitors 3
- Advanced biosensing and bioanalysis techniques 2
- Histone Deacetylase Inhibitors Research 2
- Ubiquitin and proteasome pathways 2
- RNA and protein synthesis mechanisms 1
- Chemical Synthesis and Analysis 1
- RNA Interference and Gene Delivery 1
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- Multiple Myeloma Research and Treatments 2
- Co-authors
- Barbara M. Bryant (1 shared paper)Charlie Hatton (1 shared paper)Laura E. Zawadzke (1 shared paper)Péter Sandy (2 shared papers)Andrew R. Conery (1 shared paper)Adrianne Neiss (1 shared paper)Archana Bommi‐Reddy (1 shared paper)Shivangi Joshi (1 shared paper)
- Journals
- SLAS DISCOVERY (1 paper)eLife (1 paper)Targeted Oncology (1 paper)Cancer Research (1 paper)ChemRxiv (1 paper)
- Partner nations
- United States
In The Last Decade
Eneida Pardo
4 papers receiving 117 citations
Peers
Comparison fields: 5 of 20
- Hematology 45
- Molecular Biology 111
- Oncology 20
- Immunology 10
- Biological Psychiatry 1
Countries citing papers authored by Eneida Pardo
This map shows the geographic impact of Eneida Pardo'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 Eneida Pardo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eneida Pardo more than expected).
Fields of papers citing papers by Eneida Pardo
This network shows the impact of papers produced by Eneida Pardo. 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 Eneida Pardo. The network helps show where Eneida Pardo may publish in the future.
Co-authors
The 25 scholars most cited alongside Eneida Pardo, 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 | 2016 | 84 | |
| 2 | 2023 | 20 | |
| 3 | 2020 | 12 | |
| 4 | 2012 | 3 | |
| 5 | 2025 | 0 |
About Eneida Pardo
Eneida Pardo is a scholar working on Molecular Biology, Hematology, Biomedical Engineering, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 119 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Ubiquitin and proteasome pathways (2 papers), RNA and protein synthesis mechanisms (1 paper), Chemical Synthesis and Analysis (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Hematology (45 citations), Molecular Biology (111 citations), Oncology (20 citations), Immunology (10 citations) and Biological Psychiatry (1 citation). Eneida Pardo has collaborated with scholars based in United States. Frequent co-authors include Barbara M. Bryant, Charlie Hatton, Laura E. Zawadzke, Péter Sandy, Andrew R. Conery, Adrianne Neiss, Archana Bommi‐Reddy, Shivangi Joshi, Karen E. Gascoigne and Patricia J. Keller. Their work appears in journals such as SLAS DISCOVERY, eLife, Targeted Oncology, Cancer Research and ChemRxiv.
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.