Teia Noel
Impact in
-
- Cell Image Analysis Techniques
-
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Molecular Biology Techniques and Applications
Papers in
-
- Single-cell and spatial transcriptomics 4
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 1
- Advanced biosensing and bioanalysis techniques 1
-
- Leprosy Research and Treatment 1
- Co-authors
- Qingbo S. Wang (3 shared papers)Jamie L. Marshall (3 shared papers)Anna Greka (3 shared papers)Stanley Fields (1 shared paper)Fei Chen (2 shared papers)Katherine A. Vernon (1 shared paper)Ayshwarya Subramanian (1 shared paper)Evan Z. Macosko (1 shared paper)
- Journals
- iScience (2 papers)Proceedings of the National Academy of Sciences (1 paper)Cell Reports (1 paper)Frontiers in Physiology (1 paper)ACS Synthetic Biology (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Teia Noel
6 papers receiving 154 citations
Peers
Comparison fields: 5 of 49
- Biophysics 12
- Molecular Biology 114
- Nephrology 9
- Aging 2
- Immunology 22
Countries citing papers authored by Teia Noel
This map shows the geographic impact of Teia Noel'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 Teia Noel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teia Noel more than expected).
Fields of papers citing papers by Teia Noel
This network shows the impact of papers produced by Teia Noel. 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 Teia Noel. The network helps show where Teia Noel may publish in the future.
Co-authors
The 25 scholars most cited alongside Teia Noel, 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 | 2022 | 50 | |
| 2 | 2019 | 36 | |
| 3 | 2020 | 25 | |
| 4 | 2022 | 24 | |
| 5 | 2018 | 16 | |
| 6 | 2025 | 3 |
About Teia Noel
Teia Noel is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Epidemiology and Pharmacology, having authored 6 papers that have together received 154 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (1 paper), Leprosy Research and Treatment (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Mycobacterium research and diagnosis (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Biophysics (12 citations), Molecular Biology (114 citations), Nephrology (9 citations), Aging (2 citations) and Immunology (22 citations). Teia Noel has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Qingbo S. Wang, Jamie L. Marshall, Anna Greka, Stanley Fields, Fei Chen, Katherine A. Vernon, Ayshwarya Subramanian, Evan Z. Macosko, Robert R. Stickels and Silvana Bazúa‐Valenti. Their work appears in journals such as iScience, Proceedings of the National Academy of Sciences, Cell Reports, Frontiers in Physiology and ACS Synthetic Biology.
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.