Alexander LeNail
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
-
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
- Genomics and Chromatin Dynamics
Papers in
-
- Single-cell and spatial transcriptomics 2
- Bioinformatics and Genomic Networks 1
- CRISPR and Genetic Engineering 1
-
- Semantic Web and Ontologies 1
- Natural Language Processing Techniques 1
- Co-authors
- Jessica L. Bonnar (1 shared paper)Florian C. Oberstrass (1 shared paper)Angela N. Pogson (1 shared paper)Lauren G. Mascibroda (1 shared paper)Karen Adelman (1 shared paper)Marco Jost (1 shared paper)Thomas M. Norman (1 shared paper)Reuben A. Saunders (1 shared paper)
- Journals
- Cell (1 paper)Figshare (1 paper)The Journal of Open Source Software (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Alexander LeNail
4 papers receiving 446 citations
Alexander LeNail's Hit Papers
Peers
Comparison fields: 5 of 115
- Biophysics 40
- Molecular Biology 250
- Health Informatics 4
- Aging 5
- Cancer Research 29
Countries citing papers authored by Alexander LeNail
This map shows the geographic impact of Alexander LeNail'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 Alexander LeNail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander LeNail more than expected).
Fields of papers citing papers by Alexander LeNail
This network shows the impact of papers produced by Alexander LeNail. 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 Alexander LeNail. The network helps show where Alexander LeNail may publish in the future.
Co-authors
The 18 scholars most cited alongside Alexander LeNail, 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 | Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq Hit paper breakdown → | 2022 | 253 |
| 2 | 2019 | 194 | |
| 3 | 2018 | 8 | |
| 4 | 2019 | 2 |
About Alexander LeNail
Alexander LeNail is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 4 papers that have together received 457 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Bioinformatics and Genomic Networks (1 paper), Semantic Web and Ontologies (1 paper), Natural Language Processing Techniques (1 paper), Time Series Analysis and Forecasting (1 paper), Data Visualization and Analytics (1 paper), CRISPR and Genetic Engineering (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Biophysics (40 citations), Molecular Biology (250 citations), Health Informatics (4 citations), Aging (5 citations) and Cancer Research (29 citations). Alexander LeNail has collaborated with scholars based in United States. Frequent co-authors include Jessica L. Bonnar, Florian C. Oberstrass, Angela N. Pogson, Lauren G. Mascibroda, Karen Adelman, Marco Jost, Thomas M. Norman, Reuben A. Saunders, Eric J. Wagner and Joseph M. Replogle. Their work appears in journals such as Cell, Figshare, The Journal of Open Source Software and PubMed.
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.