Edwin E. Jeng
Impact in
- Aging top 10%
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Protein Degradation and Inhibitors
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- Single-cell and spatial transcriptomics
Papers in ⓘ
- Co-authors
- Michael C. Bassik (7 shared papers)Kyuho Han (5 shared papers)David W. Morgens (4 shared papers)Gaelen T. Hess (2 shared papers)Amy Li (2 shared papers)M Snyder (2 shared papers)Tommy K. Cheung (1 shared paper)F. Anthony Romero (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Blood (3 papers)Annals of Oncology (2 papers)Cancer Discovery (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- United StatesSouth KoreaIsrael
In The Last Decade
Edwin E. Jeng
16 papers receiving 964 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Aging 27
- Molecular Biology 793
- Business and International Management 15
- Endocrinology 32
- Computational Theory and Mathematics 88
Countries citing papers authored by Edwin E. Jeng
This map shows the geographic impact of Edwin E. Jeng'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 Edwin E. Jeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin E. Jeng more than expected).
Fields of papers citing papers by Edwin E. Jeng
This network shows the impact of papers produced by Edwin E. Jeng. 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 Edwin E. Jeng. The network helps show where Edwin E. Jeng may publish in the future.
Co-authors
The 25 scholars most cited alongside Edwin E. Jeng, 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 | Synergistic drug combinations for cancer identified in a CRISPR screen for pairwise genetic interactions Hit paper breakdown → | 2017 | 368 |
| 2 | 2018 | 223 | |
| 3 | 2017 | 211 | |
| 4 | 2019 | 69 | |
| 5 | 2020 | 30 | |
| 6 | 2023 | 15 | |
| 7 | 2023 | 13 | |
| 8 | 2018 | 12 | |
| 9 | 2022 | 7 | |
| 10 | 2024 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2018 | 1 |
About Edwin E. Jeng
Edwin E. Jeng is a scholar working on Genetics, Oncology, Endocrinology, Pulmonary and Respiratory Medicine and Biotechnology, having authored 17 papers that have together received 973 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), Lung Cancer Research Studies (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), HER2/EGFR in Cancer Research (2 papers), CAR-T cell therapy research (2 papers), CRISPR and Genetic Engineering (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Aging (27 citations), Molecular Biology (793 citations), Business and International Management (15 citations), Endocrinology (32 citations) and Computational Theory and Mathematics (88 citations). Edwin E. Jeng has collaborated with scholars based in United States, South Korea and Israel. Frequent co-authors include Michael C. Bassik, Kyuho Han, David W. Morgens, Gaelen T. Hess, Amy Li, M Snyder, Tommy K. Cheung, F. Anthony Romero, Karen E. Gascoigne and Samir Kharbanda. Their work appears in journals such as Journal of Clinical Oncology, Blood, Annals of Oncology, Cancer Discovery and PLoS Pathogens.
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.