Joshua Babiarz
- Cancer Research top 0.5%
- MicroRNA in disease regulation 8
- Cancer Genomics and Diagnostics 5
- Molecular Biology top 2%
- CRISPR and Genetic Engineering 6
- Pluripotent Stem Cells Research 5
- RNA Interference and Gene Delivery 4
- Aging top 10%
- Immunology top 10%
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- Thyroid Cancer Diagnosis and Treatment 7
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- BRCA gene mutations in cancer 4
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- Genetic factors in colorectal cancer 4
- Co-authors
- Robert BlellochYangming WangJ. Graham RubyDavid P. BartelMonica VenereRobert L. JudsonLauren BaehnerScott Baskerville
- Journals
- Nature Genetics (1 paper)Journal of Clinical Oncology (5 papers)Journal of Neuroscience (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Joshua Babiarz
37 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cancer Research 2.0k
- Molecular Biology 3.2k
- Aging 31
- Pediatrics, Perinatology and Child Health 303
- Immunology 323
Countries citing papers authored by Joshua Babiarz
This map shows the geographic impact of Joshua Babiarz'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 Joshua Babiarz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Babiarz more than expected).
Fields of papers citing papers by Joshua Babiarz
This network shows the impact of papers produced by Joshua Babiarz. 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 Joshua Babiarz. The network helps show where Joshua Babiarz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joshua Babiarz, 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 | 2021 | 40 | |
| 3 | 2021 | 5 | |
| 4 | 2020 | 17 | |
| 5 | 2019 | 44 | |
| 6 | 2019 | 39 | |
| 7 | 2017 | 19 | |
| 8 | 2015 | 45 | |
| 9 | 2014 | 224 | |
| 10 | 2013 | 50 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 101 | |
| 13 | 2011 | 96 | |
| 14 | 2011 | 297 | |
| 15 | 2011 | 80 | |
| 16 | 2011 | 218 | |
| 17 | 2011 | 64 | |
| 18 | Mammalian microRNAs: experimental evaluation of novel and previously annotated genesbreakdown → | 2010 | 655 |
| 19 | Embryonic stem cell–specific microRNAs promote induced pluripotencybreakdown → | 2009 | 519 |
| 20 | Mouse ES cells express endogenous shRNAs, siRNAs, and other Microprocessor-independent, Dicer-dependent small RNAsbreakdown → | 2008 | 717 |
About Joshua Babiarz
Joshua Babiarz is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 38 papers that have together received 4.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (5 papers), Cancer Genomics and Diagnostics (5 papers), BRCA gene mutations in cancer (4 papers), RNA Interference and Gene Delivery (4 papers) and Genetic factors in colorectal cancer (4 papers). The work is most often cited by research in Cancer Research (2.0k citations), Molecular Biology (3.2k citations) and Aging (31 citations). Joshua Babiarz has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Robert Blelloch, Yangming Wang, J. Graham Ruby, David P. Bartel, Monica Venere, Robert L. Judson, Lauren Baehner, Scott Baskerville, Archana Shenoy and Jasper Rine. Their work appears in journals such as Nature Genetics, Journal of Clinical Oncology and Journal of Neuroscience.
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.