Jon D. Larson
Impact in
- Cell Biology top 1%
- Zebrafish Biomedical Research Applications
- Genetics top 2%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 12
- Glioma Diagnosis and Treatment 11
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- Zebrafish Biomedical Research Applications 6
- Co-authors
- Stephen C. Ekker (10 shared papers)Aidas Nasevicius (6 shared papers)Mara E. Robu (3 shared papers)Steven Arthur Farber (3 shared papers)Soraya Beiraghi (3 shared papers)Charles H Brenner (2 shared papers)Eleanor Y. Chen (3 shared papers)Karl J. Clark (3 shared papers)
- Journals
- Cancer Research (5 papers)Development (2 papers)PLoS Genetics (2 papers)Yeast (2 papers)Blood (1 paper)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Jon D. Larson
27 papers receiving 2.5k citations
Jon D. Larson's Hit Papers
Peers
Comparison fields: 5 of 79
- Cell Biology 688
- Genetics 355
- Developmental Neuroscience 68
- Molecular Biology 1.2k
- Genetics 231
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | p53 Activation by Knockdown Technologies Hit paper breakdown → | 2007 | 862 |
| 2 | 2000 | 220 | |
| 3 | 2018 | 218 | |
| 4 | 2001 | 215 | |
| 5 | 2010 | 166 | |
| 6 | 2009 | 130 | |
| 7 | 2004 | 90 | |
| 8 | 2019 | 87 | |
| 9 | 2006 | 70 | |
| 10 | 2010 | 57 | |
| 11 | 2006 | 47 | |
| 12 | 2019 | 43 | |
| 13 | 2009 | 39 | |
| 14 | 2023 | 36 | |
| 15 | 2019 | 34 | |
| 16 | 2003 | 33 | |
| 17 | 2010 | 25 | |
| 18 | 2015 | 24 | |
| 19 | 2012 | 22 | |
| 20 | 2005 | 21 |
About Jon D. Larson
Jon D. Larson is a scholar working on Genetics, Cell Biology, Molecular Biology, Genetics and Oncology, having authored 27 papers that have together received 2.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Zebrafish Biomedical Research Applications (6 papers), Angiogenesis and VEGF in Cancer (4 papers), Developmental Biology and Gene Regulation (3 papers), RNA Interference and Gene Delivery (2 papers), 3D Printing in Biomedical Research (1 paper), RNA and protein synthesis mechanisms (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Cell Biology (688 citations), Genetics (355 citations), Developmental Neuroscience (68 citations), Molecular Biology (1.2k citations) and Genetics (231 citations). Jon D. Larson has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Stephen C. Ekker, Aidas Nasevicius, Mara E. Robu, Steven Arthur Farber, Soraya Beiraghi, Charles H Brenner, Eleanor Y. Chen, Karl J. Clark, Jeffrey J. Essner and Perry B. Hackett. Their work appears in journals such as Cancer Research, Development, PLoS Genetics, Yeast and Blood.
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.