Kendell Clement
Impact in
- Aging top 2%
Papers in
-
- CRISPR and Genetic Engineering 17
- Epigenetics and DNA Methylation 10
- Pluripotent Stem Cells Research 9
- Genomics and Chromatin Dynamics 4
- Single-cell and spatial transcriptomics 3
- Genetics 9
- Chronic Lymphocytic Leukemia Research 4
- Virus-based gene therapy research 4
- Co-authors
- J. Keith Joung (8 shared papers)Alexander Meissner (19 shared papers)Luca Pinello (13 shared papers)Hongcang Gu (12 shared papers)Andreas Gnirke (9 shared papers)Daniel E. Bauer (4 shared papers)Michael J. Ziller (8 shared papers)Jing Zeng (2 shared papers)
- Journals
- Blood (7 papers)Nature Biotechnology (6 papers)Genome biology (4 papers)Cell stem cell (3 papers)Bioinformatics (2 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Kendell Clement
41 papers receiving 3.1k citations
Kendell Clement's Hit Papers
Peers
Comparison fields: 5 of 105
- Business and International Management 118
- Aging 102
- Molecular Biology 2.8k
- Genetics 650
- Genetics 124
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-authors
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
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Engineered CRISPR–Cas12a variants with increased activities and improved targeting ranges for gene, epigenetic and base editing Hit paper breakdown → | 2019 | 470 |
| 2 | 2015 | 362 | |
| 3 | An APOBEC3A-Cas9 base editor with minimized bystander and off-target activities Hit paper breakdown → | 2018 | 339 |
| 4 | 2019 | 212 | |
| 5 | 2020 | 208 | |
| 6 | 2015 | 195 | |
| 7 | 2012 | 182 | |
| 8 | 2021 | 154 | |
| 9 | 2017 | 133 | |
| 10 | 2018 | 122 | |
| 11 | 2018 | 118 | |
| 12 | 2014 | 95 | |
| 13 | 2018 | 72 | |
| 14 | 2018 | 64 | |
| 15 | 2018 | 51 | |
| 16 | 2018 | 50 | |
| 17 | 2017 | 47 | |
| 18 | 2015 | 45 | |
| 19 | 2021 | 31 | |
| 20 | 2018 | 29 |
About Kendell Clement
Kendell Clement is a scholar working on Molecular Biology, Genetics, Oncology, Genetics and Surgery, having authored 41 papers that have together received 3.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (17 papers), Epigenetics and DNA Methylation (10 papers), Pluripotent Stem Cells Research (9 papers), CAR-T cell therapy research (5 papers), Genomics and Chromatin Dynamics (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Virus-based gene therapy research (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Business and International Management (118 citations), Aging (102 citations), Molecular Biology (2.8k citations), Genetics (650 citations) and Genetics (124 citations). Kendell Clement has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include J. Keith Joung, Alexander Meissner, Luca Pinello, 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 Bioinformatics.
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.