Ke Cong
Impact in
- Oncology top 10%
- PARP inhibition in cancer therapy
- Cancer-related Molecular Pathways
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- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
- Oncology 9
- PARP inhibition in cancer therapy 8
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- Collagen: Extraction and Characterization 3
- Co-authors
- Sharon B. Cantor (8 shared papers)Jennifer A. Calvo (6 shared papers)Sumeet U. Nayak (5 shared papers)Min Peng (6 shared papers)Nicholas J. Panzarino (4 shared papers)John J. Krais (3 shared papers)Neil Johnson (2 shared papers)Arne Nedergaard Kousholt (3 shared papers)
- Journals
- Molecular Cell (5 papers)Foods (2 papers)Cancer Research (1 paper)Science Advances (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Ke Cong
13 papers receiving 802 citations
Ke Cong's Hit Papers
Peers
Comparison fields: 5 of 46
- Oncology 447
- Molecular Biology 685
- Cancer Research 81
- Genetics 93
- Cell Biology 47
Countries citing papers authored by Ke Cong
This map shows the geographic impact of Ke Cong'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 Ke Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Cong more than expected).
Fields of papers citing papers by Ke Cong
This network shows the impact of papers produced by Ke Cong. 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 Ke Cong. The network helps show where Ke Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Cong, 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 | Replication gaps are a key determinant of PARP inhibitor synthetic lethality with BRCA deficiency Hit paper breakdown → | 2021 | 257 |
| 2 | 2020 | 150 | |
| 3 | 2020 | 87 | |
| 4 | 2021 | 75 | |
| 5 | 2021 | 71 | |
| 6 | 2022 | 69 | |
| 7 | 2018 | 58 | |
| 8 | 2024 | 16 | |
| 9 | 2024 | 16 | |
| 10 | 2025 | 5 | |
| 11 | 2022 | 3 | |
| 12 | Denatured Ribonuclease Refolding by Glutathione Bonding Column | 2012 | 2 |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 |
About Ke Cong
Ke Cong is a scholar working on Oncology, Biomaterials, Molecular Biology, Animal Science and Zoology and Food Science, having authored 14 papers that have together received 810 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (9 papers), PARP inhibition in cancer therapy (8 papers), CRISPR and Genetic Engineering (5 papers), Collagen: Extraction and Characterization (3 papers), Meat and Animal Product Quality (2 papers), Proteins in Food Systems (2 papers), BRCA gene mutations in cancer (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Oncology (447 citations), Molecular Biology (685 citations), Cancer Research (81 citations), Genetics (93 citations) and Cell Biology (47 citations). Ke Cong has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Sharon B. Cantor, Jennifer A. Calvo, Sumeet U. Nayak, Min Peng, Nicholas J. Panzarino, John J. Krais, Neil Johnson, Arne Nedergaard Kousholt, Wei Ting C. Lee and Pamela S. VanderVere-Carozza. Their work appears in journals such as Molecular Cell, Foods, Cancer Research, Science Advances and Cell Reports.
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.