Kaylen Lott
Impact in
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- Nuclear Structure and Function
- RNA Research and Splicing
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- RNA regulation and disease
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
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- Nuclear Structure and Function 4
- RNA Research and Splicing 4
- Cancer-related gene regulation 3
- Genomics and Chromatin Dynamics 1
- Epigenetics and DNA Methylation 1
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- Trypanosoma species research and implications 2
- Co-authors
- Gino Cingolani (4 shared papers)Jonathan Nardozzi (1 shared paper)Anshul Bhardwaj (2 shared papers)Laurie K. Read (5 shared papers)Peter J. Sims (1 shared paper)John C. Fisk (3 shared papers)Jun Qu (2 shared papers)Nelly Panté (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Journal of Biological Chemistry (2 papers)Journal of Proteomics (1 paper)Cell Communication and Signaling (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Kaylen Lott
9 papers receiving 553 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 432
- Cell Biology 55
- Epidemiology 102
- Virology 13
- Immunology 46
Countries citing papers authored by Kaylen Lott
This map shows the geographic impact of Kaylen Lott'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 Kaylen Lott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaylen Lott more than expected).
Fields of papers citing papers by Kaylen Lott
This network shows the impact of papers produced by Kaylen Lott. 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 Kaylen Lott. The network helps show where Kaylen Lott may publish in the future.
Co-authors
The 21 scholars most cited alongside Kaylen Lott, 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 | 2010 | 192 | |
| 2 | 2010 | 143 | |
| 3 | 2011 | 52 | |
| 4 | 2013 | 46 | |
| 5 | 2010 | 38 | |
| 6 | 2015 | 27 | |
| 7 | 2017 | 27 | |
| 8 | 2014 | 20 | |
| 9 | 2014 | 10 |
About Kaylen Lott
Kaylen Lott is a scholar working on Molecular Biology, Epidemiology, Nutrition and Dietetics, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 9 papers that have together received 555 indexed citations. Recurring topics across this work include Nuclear Structure and Function (4 papers), RNA Research and Splicing (4 papers), Cancer-related gene regulation (3 papers), Trypanosoma species research and implications (2 papers), Trace Elements in Health (2 papers), Genomics and Chromatin Dynamics (1 paper), Epigenetics and DNA Methylation (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Molecular Biology (432 citations), Cell Biology (55 citations), Epidemiology (102 citations), Virology (13 citations) and Immunology (46 citations). Kaylen Lott has collaborated with scholars based in United States and Canada. Frequent co-authors include Gino Cingolani, Jonathan Nardozzi, Anshul Bhardwaj, Laurie K. Read, Peter J. Sims, John C. Fisk, Jun Qu, Nelly Panté, Jun Li and John M. Aletta. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, Journal of Proteomics, Cell Communication and Signaling and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.
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.