John LaCava
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 19
- RNA modifications and cancer 13
- RNA Research and Splicing 12
- Protein purification and stability 6
- Glycosylation and Glycoproteins Research 5
- CRISPR and Genetic Engineering 5
- Plant Science top 5%
- Chromosomal and Genetic Variations 11
- Cancer Research top 10%
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- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- Jonathan HouseleyDavid TollerveyElizabeth L. ThompsonAlain JacquierElisabeth PetfalskiCosmin SaveanuMichael P. RoutKelly R. Molloy
- Partner nations
- United StatesNetherlandsDenmark
In The Last Decade
John LaCava
47 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 2.2k
- Plant Science 481
- Cancer Research 194
- Aging 16
- Immunology 156
Countries citing papers authored by John LaCava
This map shows the geographic impact of John LaCava'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 John LaCava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John LaCava more than expected).
Fields of papers citing papers by John LaCava
This network shows the impact of papers produced by John LaCava. 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 John LaCava. The network helps show where John LaCava may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John LaCava, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 12 | |
| 7 | 2020 | 22 | |
| 8 | 2020 | 30 | |
| 9 | 2020 | 1 | |
| 10 | 2019 | 39 | |
| 11 | 2019 | 4 | |
| 12 | 2018 | 53 | |
| 13 | 2018 | 22 | |
| 14 | 2018 | 43 | |
| 15 | 2017 | 18 | |
| 16 | 2017 | 2 | |
| 17 | 2016 | 13 | |
| 18 | 2016 | 20 | |
| 19 | 2013 | 165 | |
| 20 | RNA-quality control by the exosomebreakdown → | 2006 | 522 |
About John LaCava
John LaCava is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Spectroscopy and Plant Science, having authored 49 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (19 papers), RNA modifications and cancer (13 papers), RNA Research and Splicing (12 papers), Chromosomal and Genetic Variations (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Protein purification and stability (6 papers), Glycosylation and Glycoproteins Research (5 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Plant Science (481 citations), Cancer Research (194 citations), Aging (16 citations) and Immunology (156 citations). John LaCava has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include Jonathan Houseley, David Tollervey, Elizabeth L. Thompson, Alain Jacquier, Elisabeth Petfalski, Cosmin Saveanu, Michael P. Rout, Kelly R. Molloy, Hua Jiang and Martin S. Taylor. Their work appears in journals such as BioTechniques, Cold Spring Harbor Protocols, eLife, Mobile DNA and Nature Communications.
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.