Eric D. Lee
Impact in
- Cancer Research top 1%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
-
- Ferroptosis and cancer prognosis
Papers in
-
- Viral Infections and Outbreaks Research 3
- Viral Infections and Vectors 2
-
- COVID-19 epidemiological studies 1
- Co-authors
- Scott J. Dixon (2 shared papers)Brent R. Stockwell (2 shared papers)Ajit G. Thomas (1 shared paper)Rachid Skouta (1 shared paper)Miki Hayano (1 shared paper)Matthew Welsch (1 shared paper)Caroline E. Gleason (1 shared paper)Nicholas P. Tatonetti (1 shared paper)
- Journals
- Viruses (3 papers)eLife (1 paper)ACS Chemical Biology (1 paper)Infection and Immunity (1 paper)Toxicologic Pathology (1 paper)
- Partner nations
- United StatesIsraelAustria
In The Last Decade
Eric D. Lee
9 papers receiving 2.8k citations
Eric D. Lee's Hit Papers
Peers
Comparison fields: 5 of 92
- Cancer Research 1.3k
- Pulmonary and Respiratory Medicine 2.0k
- Molecular Biology 1.6k
- Bioengineering 80
- Biochemistry 95
Countries citing papers authored by Eric D. Lee
This map shows the geographic impact of Eric D. Lee'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 Eric D. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric D. Lee more than expected).
Fields of papers citing papers by Eric D. Lee
This network shows the impact of papers produced by Eric D. Lee. 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 Eric D. Lee. The network helps show where Eric D. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric D. Lee, 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 | Pharmacological inhibition of cystine–glutamate exchange induces endoplasmic reticulum stress and ferroptosis Hit paper breakdown → | 2014 | 1776 |
| 2 | Human Haploid Cell Genetics Reveals Roles for Lipid Metabolism Genes in Nonapoptotic Cell Death Hit paper breakdown → | 2015 | 905 |
| 3 | 1987 | 93 | |
| 4 | 2019 | 9 | |
| 5 | 2024 | 7 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 2 | |
| 9 | 2024 | 1 |
About Eric D. Lee
Eric D. Lee is a scholar working on Infectious Diseases, Modeling and Simulation, Bioengineering, Biochemistry and Biotechnology, having authored 9 papers that have together received 2.8k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (3 papers), Viral Infections and Vectors (2 papers), Ferroptosis and cancer prognosis (2 papers), RNA modifications and cancer (1 paper), COVID-19 epidemiological studies (1 paper), Respiratory viral infections research (1 paper), Total Knee Arthroplasty Outcomes (1 paper) and Orthopedic Infections and Treatments (1 paper). The work is most often cited by research in Cancer Research (1.3k citations), Pulmonary and Respiratory Medicine (2.0k citations), Molecular Biology (1.6k citations), Bioengineering (80 citations) and Biochemistry (95 citations). Eric D. Lee has collaborated with scholars based in United States, Israel and Austria. Frequent co-authors include Scott J. Dixon, Brent R. Stockwell, Ajit G. Thomas, Rachid Skouta, Miki Hayano, Matthew Welsch, Caroline E. Gleason, Nicholas P. Tatonetti, Barbara Stauch Slusher and Berend Snijder. Their work appears in journals such as Viruses, eLife, ACS Chemical Biology, Infection and Immunity and Toxicologic Pathology.
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.