Kendell Clement
Impact in
- Aging top 2%
Papers in
-
- CRISPR and Genetic Engineering 18
- Epigenetics and DNA Methylation 11
- Pluripotent Stem Cells Research 9
- Single-cell and spatial transcriptomics 4
- Genomics and Chromatin Dynamics 4
- Genetics 5
- Virus-based gene therapy research 4
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- Luca PinelloJ. Keith JoungAlexander MeissnerHongcang GuAndreas GnirkeDaniel E. BauerMichael J. ZillerJing Zeng
- Journals
- Blood (7 papers)Nature Biotechnology (6 papers)Genome biology (4 papers)Cell stem cell (3 papers)Nature Genetics (2 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Kendell Clement
40 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Business and International Management 121
- Aging 105
- Molecular Biology 2.8k
- Genetics 680
- Cancer Research 183
Countries citing papers authored by Kendell Clement
This map shows the geographic impact of Kendell Clement'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 Kendell Clement with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kendell Clement more than expected).
Fields of papers citing papers by Kendell Clement
This network shows the impact of papers produced by Kendell Clement. 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 Kendell Clement. The network helps show where Kendell Clement may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kendell Clement, 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 | 8 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 5 | |
| 6 | 2021 | 29 | |
| 7 | 2020 | 205 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 1 | |
| 10 | Engineered CRISPR–Cas12a variants with increased activities and improved targeting ranges for gene, epigenetic and base editing Hit paper breakdown → | 2019 | 453 |
| 11 | 2018 | 25 | |
| 12 | 2018 | 28 | |
| 13 | An APOBEC3A-Cas9 base editor with minimized bystander and off-target activities Hit paper breakdown → | 2018 | 331 |
| 14 | 2018 | 114 | |
| 15 | 2018 | 61 | |
| 16 | 2017 | 132 | |
| 17 | 2016 | 1 | |
| 18 | 2015 | 357 | |
| 19 | 2015 | 194 | |
| 20 | 2012 | 2 |
About Kendell Clement
Kendell Clement is a scholar working on Molecular Biology, Genetics, Hematology, Genetics and Oncology, having authored 41 papers that have together received 3.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (18 papers), Epigenetics and DNA Methylation (11 papers), Pluripotent Stem Cells Research (9 papers), CAR-T cell therapy research (5 papers), Virus-based gene therapy research (4 papers), Single-cell and spatial transcriptomics (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Business and International Management (121 citations), Aging (105 citations), Molecular Biology (2.8k citations), Genetics (680 citations) and Cancer Research (183 citations). Kendell Clement has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Luca Pinello, J. Keith Joung, Alexander Meissner, Hongcang Gu, Andreas Gnirke, Daniel E. Bauer, Michael J. Ziller, Jing Zeng, Yuxuan Wu and Jason M. Gehrke. Their work appears in journals such as Blood, Nature Biotechnology, Genome biology, Cell stem cell and Nature Genetics.
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.