Jaclyn M. Einstein
Impact in
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- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Cancer-related gene regulation
- CRISPR and Genetic Engineering
- Single-cell and spatial transcriptomics
Papers in
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- Cancer-related molecular mechanisms research 2
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- RNA Research and Splicing 4
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 2
- Cancer-related gene regulation 1
- Ubiquitin and proteasome pathways 1
- Co-authors
- Gene Wei-Ming Yeo (6 shared papers)Daniel A. Lorenz (1 shared paper)Shashank Sathe (1 shared paper)Isaac Alexander Chaim (1 shared paper)Mark Perelis (2 shared papers)Heyuan Li (1 shared paper)Brian A. Yee (1 shared paper)Nicholas J. Neill (1 shared paper)
- Journals
- Nature Methods (1 paper)Science (1 paper)Molecular Cell (1 paper)Cancer Research (1 paper)RNA (1 paper)
- Partner nations
- United StatesSingapore
In The Last Decade
Jaclyn M. Einstein
5 papers receiving 400 citations
Peers
Comparison fields: 5 of 43
- Cancer Research 138
- Molecular Biology 364
- Biophysics 20
- Aging 3
- Oncology 21
Countries citing papers authored by Jaclyn M. Einstein
This map shows the geographic impact of Jaclyn M. Einstein'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 Jaclyn M. Einstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaclyn M. Einstein more than expected).
Fields of papers citing papers by Jaclyn M. Einstein
This network shows the impact of papers produced by Jaclyn M. Einstein. 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 Jaclyn M. Einstein. The network helps show where Jaclyn M. Einstein may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaclyn M. Einstein, 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 | 2019 | 179 | |
| 2 | 2021 | 141 | |
| 3 | 2020 | 72 | |
| 4 | 2021 | 7 | |
| 5 | 2016 | 3 | |
| 6 | 2025 | 0 |
About Jaclyn M. Einstein
Jaclyn M. Einstein is a scholar working on Cancer Research, Molecular Biology, Electrical and Electronic Engineering, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 6 papers that have together received 402 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), CRISPR and Genetic Engineering (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA and protein synthesis mechanisms (2 papers), Cancer-related gene regulation (1 paper), HVDC Systems and Fault Protection (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (138 citations), Molecular Biology (364 citations), Biophysics (20 citations), Aging (3 citations) and Oncology (21 citations). Jaclyn M. Einstein has collaborated with scholars based in United States and Singapore. Frequent co-authors include Gene Wei-Ming Yeo, Daniel A. Lorenz, Shashank Sathe, Isaac Alexander Chaim, Mark Perelis, Heyuan Li, Brian A. Yee, Nicholas J. Neill, Jitendra Kumar Meena and Siddhartha Tyagi. Their work appears in journals such as Nature Methods, Science, Molecular Cell, Cancer Research and RNA.
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.