John G. Doench
- Aging top 0.2%
- Cancer Research top 0.2%
- Molecular Biology top 0.1%
- CRISPR and Genetic Engineering 60
- RNA and protein synthesis mechanisms 21
- Advanced biosensing and bioanalysis techniques 17
- RNA Interference and Gene Delivery 11
- Protein Degradation and Inhibitors 11
- RNA Research and Splicing 10
- Epigenetics and DNA Methylation 9
- Immunology top 0.5%
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- CAR-T cell therapy research 12
- Co-authors
- Phillip A. SharpDavid E. RootElla HartenianBenjamin L. EbertMudra HegdeMeagan E. SullenderTarjei S. MikkelsenDavid Scott
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
John G. Doench
141 papers receiving 19.8k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Aging 719
- Cancer Research 3.8k
- Business and International Management 488
- Molecular Biology 15.7k
- Immunology 2.6k
Countries citing papers authored by John G. Doench
This map shows the geographic impact of John G. Doench'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 John G. Doench with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John G. Doench more than expected).
Fields of papers citing papers by John G. Doench
This network shows the impact of papers produced by John G. Doench. 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 John G. Doench. The network helps show where John G. Doench may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John G. Doench, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 13 | |
| 9 | 2022 | 60 | |
| 10 | 2022 | 19 | |
| 11 | 2022 | 24 | |
| 12 | 2020 | 32 | |
| 13 | 2018 | 45 | |
| 14 | 2018 | 44 | |
| 15 | 2018 | 20 | |
| 16 | 2018 | 78 | |
| 17 | A major chromatin regulator determines resistance of tumor cells to T cell–mediated killingbreakdown → | 2018 | 567 |
| 18 | 2017 | 104 | |
| 19 | 2016 | 206 | |
| 20 | Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cellsbreakdown → | 2013 | 3656 |
About John G. Doench
John G. Doench is a scholar working on Aging, Molecular Biology and Cancer Research, having authored 145 papers that have together received 20.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (60 papers), RNA and protein synthesis mechanisms (21 papers), Advanced biosensing and bioanalysis techniques (17 papers), CAR-T cell therapy research (12 papers), RNA Interference and Gene Delivery (11 papers), Protein Degradation and Inhibitors (11 papers), RNA Research and Splicing (10 papers) and Epigenetics and DNA Methylation (9 papers). The work is most often cited by research in Aging (719 citations), Cancer Research (3.8k citations) and Business and International Management (488 citations). John G. Doench has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Phillip A. Sharp, David E. Root, Ella Hartenian, Benjamin L. Ebert, Mudra Hegde, Meagan E. Sullender, Tarjei S. Mikkelsen, David Scott, Neville E. Sanjana and Feng Zhang. Their work appears in journals such as Nature Communications, Blood, Nature Biotechnology, Proceedings of the National Academy of Sciences and Cell.
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.