Jon D. Larson
Impact in
- Cell Biology top 1%
- Zebrafish Biomedical Research Applications
- Molecular Biology top 5%
- Congenital heart defects research
- Developmental Biology and Gene Regulation
- Angiogenesis and VEGF in Cancer
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in ⓘ
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- Angiogenesis and VEGF in Cancer 4
- CRISPR and Genetic Engineering 3
- RNA modifications and cancer 3
- Congenital heart defects research 3
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- MicroRNA in disease regulation 3
- Co-authors
- Stephen C. Ekker (10 shared papers)Aidas Nasevicius (6 shared papers)Steven Farber (3 shared papers)Soraya Beiraghi (3 shared papers)Charles Brenner (2 shared papers)Eleanor Y. Chen (3 shared papers)Karl J. Clark (3 shared papers)Jeffrey J. Essner (2 shared papers)
- Journals
- Cancer Research (6 papers)Neuro-Oncology (3 papers)Yeast (2 papers)PLoS Genetics (2 papers)Development (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Jon D. Larson
27 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cell Biology 790
- Molecular Biology 1.5k
- Developmental Neuroscience 64
- Cancer Research 220
- Genetics 324
Countries citing papers authored by Jon D. Larson
This map shows the geographic impact of Jon D. Larson'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 Jon D. Larson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon D. Larson more than expected).
Fields of papers citing papers by Jon D. Larson
This network shows the impact of papers produced by Jon D. Larson. 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 Jon D. Larson. The network helps show where Jon D. Larson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon D. Larson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | p53 Activation by Knockdown Technologies Hit paper breakdown → | 2007 | 818 |
| 2 | 2000 | 216 | |
| 3 | 2001 | 212 | |
| 4 | 2010 | 156 | |
| 5 | 2009 | 119 | |
| 6 | 2004 | 87 | |
| 7 | 2006 | 68 | |
| 8 | 2010 | 52 | |
| 9 | 2006 | 42 | |
| 10 | 2003 | 31 | |
| 11 | 2013 | 31 | |
| 12 | 2010 | 23 | |
| 13 | 2005 | 23 | |
| 14 | 2015 | 22 | |
| 15 | 2019 | 22 | |
| 16 | 2012 | 20 | |
| 17 | 2016 | 14 | |
| 18 | 2000 | 13 | |
| 19 | 2022 | 6 | |
| 20 | 2021 | 6 |
About Jon D. Larson
Jon D. Larson is a scholar working on Molecular Biology, Cancer Research, Genetics, Cell Biology and Oncology, having authored 29 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Angiogenesis and VEGF in Cancer (4 papers), Zebrafish Biomedical Research Applications (4 papers), MicroRNA in disease regulation (3 papers), CRISPR and Genetic Engineering (3 papers), RNA modifications and cancer (3 papers), Congenital heart defects research (3 papers) and Connective tissue disorders research (2 papers). The work is most often cited by research in Cell Biology (790 citations), Molecular Biology (1.5k citations), Developmental Neuroscience (64 citations), Cancer Research (220 citations) and Genetics (324 citations). Jon D. Larson has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Stephen C. Ekker, Aidas Nasevicius, Steven Farber, Soraya Beiraghi, Charles Brenner, Eleanor Y. Chen, Karl J. Clark, Jeffrey J. Essner, Perry B. Hackett and David A. Largaespada. Their work appears in journals such as Cancer Research, Neuro-Oncology, Yeast, PLoS Genetics and Development.
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.