Uma Jayachandran
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- RNA regulation and disease
Papers in
-
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 4
- Genomics and Chromatin Dynamics 3
- DNA Repair Mechanisms 3
- RNA regulation and disease 3
- CRISPR and Genetic Engineering 2
-
- Microtubule and mitosis dynamics 3
- Co-authors
- Elena Conti (5 shared papers)Claire Basquin (3 shared papers)A. Arockia Jeyaprakash (3 shared papers)Hervé Le Hir (2 shared papers)Sutapa Chakrabarti (2 shared papers)Francesca Fiorini (1 shared paper)Fabien Bonneau (1 shared paper)Silvia Domcke (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)Molecular Cell (2 papers)Nature Communications (2 papers)Life Science Alliance (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- GermanyUnited KingdomSwitzerland
In The Last Decade
Uma Jayachandran
13 papers receiving 777 citations
Peers
Comparison fields: 5 of 54
- Cell Biology 171
- Molecular Biology 689
- Aging 5
- Cancer Research 35
- Oncology 45
Countries citing papers authored by Uma Jayachandran
This map shows the geographic impact of Uma Jayachandran'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 Uma Jayachandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uma Jayachandran more than expected).
Fields of papers citing papers by Uma Jayachandran
This network shows the impact of papers produced by Uma Jayachandran. 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 Uma Jayachandran. The network helps show where Uma Jayachandran may publish in the future.
Co-authors
The 25 scholars most cited alongside Uma Jayachandran, 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 | 2011 | 225 | |
| 2 | 2012 | 128 | |
| 3 | 2010 | 104 | |
| 4 | 2011 | 82 | |
| 5 | 2010 | 67 | |
| 6 | 2014 | 66 | |
| 7 | 2016 | 37 | |
| 8 | 2015 | 35 | |
| 9 | 2021 | 17 | |
| 10 | 2022 | 13 | |
| 11 | 2023 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2020 | 1 |
About Uma Jayachandran
Uma Jayachandran is a scholar working on Molecular Biology, Cell Biology, Mechanical Engineering, Biomedical Engineering and Infectious Diseases, having authored 13 papers that have together received 779 indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (4 papers), Genomics and Chromatin Dynamics (3 papers), DNA Repair Mechanisms (3 papers), Microtubule and mitosis dynamics (3 papers), RNA regulation and disease (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Cell Biology (171 citations), Molecular Biology (689 citations), Aging (5 citations), Cancer Research (35 citations) and Oncology (45 citations). Uma Jayachandran has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Elena Conti, Claire Basquin, A. Arockia Jeyaprakash, Hervé Le Hir, Sutapa Chakrabarti, Francesca Fiorini, Fabien Bonneau, Silvia Domcke, Anna Santamaría and Erich A. Nigg. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Nature Communications, Life Science Alliance and Proceedings of the National Academy of Sciences.
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.