Chikdu Shivalila
- Aging top 0.5%
- Molecular Biology top 1%
- CRISPR and Genetic Engineering 9
- Pluripotent Stem Cells Research 5
- Epigenetics and DNA Methylation 3
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 2
- Genomics and Chromatin Dynamics 2
- Genetics top 1%
- Genetic Syndromes and Imprinting 2
- Animal Genetics and Reproduction 2
- Co-authors
- Rudolf JaenischHui YangAlbert W. ChengHaoyi WangMeelad M. DawlatyFeng ZhangLinyu ShiYonatan Stelzer
- Partner nations
- United StatesSingaporeIsrael
In The Last Decade
Chikdu Shivalila
13 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Aging 479
- Business and International Management 348
- Molecular Biology 4.5k
- Genetics 1.5k
- Cellular and Molecular Neuroscience 245
Countries citing papers authored by Chikdu Shivalila
This map shows the geographic impact of Chikdu Shivalila'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 Chikdu Shivalila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chikdu Shivalila more than expected).
Fields of papers citing papers by Chikdu Shivalila
This network shows the impact of papers produced by Chikdu Shivalila. 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 Chikdu Shivalila. The network helps show where Chikdu Shivalila may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chikdu Shivalila, 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 | 2021 | 19 | |
| 2 | 2018 | 5 | |
| 3 | 2017 | 17 | |
| 4 | 2016 | 27 | |
| 5 | Parkinson-associated risk variant in distal enhancer of α-synuclein modulates target gene expressionbreakdown → | 2016 | 394 |
| 6 | Tracing Dynamic Changes of DNA Methylation at Single-Cell Resolution | 2015 | 1 |
| 7 | 2015 | 105 | |
| 8 | One-Step Generation of Mice Carrying Reporter and Conditional Alleles by CRISPR/Cas-Mediated Genome Engineering | 2013 | 2 |
| 9 | One-Step Generation of Mice Carrying Mutations in Multiple Genes by CRISPR/Cas-Mediated Genome Engineering | 2013 | 1 |
| 10 | 2013 | 0 | |
| 11 | Multiplexed activation of endogenous genes by CRISPR-on, an RNA-guided transcriptional activator systembreakdown → | 2013 | 594 |
| 12 | One-Step Generation of Mice Carrying Mutations in Multiple Genes by CRISPR/Cas-Mediated Genome Engineeringbreakdown → | 2013 | 2653 |
| 13 | One-Step Generation of Mice Carrying Reporter and Conditional Alleles by CRISPR/Cas-Mediated Genome Engineeringbreakdown → | 2013 | 1217 |
| 14 | 2013 | 13 |
About Chikdu Shivalila
Chikdu Shivalila is a scholar working on Aging, Molecular Biology and Genetics, having authored 14 papers that have together received 5.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), Pluripotent Stem Cells Research (5 papers), Epigenetics and DNA Methylation (3 papers), RNA Interference and Gene Delivery (3 papers), Genetic Syndromes and Imprinting (2 papers), Animal Genetics and Reproduction (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Aging (479 citations), Business and International Management (348 citations) and Molecular Biology (4.5k citations). Chikdu Shivalila has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include Rudolf Jaenisch, Hui Yang, Albert W. Cheng, Haoyi Wang, Meelad M. Dawlaty, Feng Zhang, Linyu Shi, Yonatan Stelzer, Frank Soldner and Daniel Benjamin Dadon.
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.