Joshua J. Waterfall
- Molecular Biology top 2%
- RNA Research and Splicing 7
- Genomics and Chromatin Dynamics 6
- RNA modifications and cancer 5
- Epigenetics and DNA Methylation 4
- RNA and protein synthesis mechanisms 3
- Gene Regulatory Network Analysis 3
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 3
- Aging top 10%
- Immunology top 10%
- interferon and immune responses 4
- Genetics top 5%
- Co-authors
- Leighton J. CoreJohn T. LisJames P. SethnaRyan N. GutenkunstChristopher R. MyersFergal CaseyKevin BrownW. Lee Kraus
- Partner nations
- United StatesFranceIreland
In The Last Decade
Joshua J. Waterfall
33 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 3.2k
- Cancer Research 627
- Aging 38
- Immunology 369
- Genetics 400
Countries citing papers authored by Joshua J. Waterfall
This map shows the geographic impact of Joshua J. Waterfall'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 J. Waterfall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua J. Waterfall more than expected).
Fields of papers citing papers by Joshua J. Waterfall
This network shows the impact of papers produced by Joshua J. Waterfall. 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 J. Waterfall. The network helps show where Joshua J. Waterfall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joshua J. Waterfall, 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 | 4 | |
| 2 | 2021 | 89 | |
| 3 | 2021 | 17 | |
| 4 | 2020 | 20 | |
| 5 | 2019 | 4 | |
| 6 | 2018 | 164 | |
| 7 | 2018 | 20 | |
| 8 | 2016 | 40 | |
| 9 | 2016 | 22 | |
| 10 | 2014 | 19 | |
| 11 | 2013 | 180 | |
| 12 | 2012 | 189 | |
| 13 | 2011 | 243 | |
| 14 | Nascent RNA Sequencing Reveals Widespread Pausing and Divergent Initiation at Human Promotersbreakdown → | 2008 | 1504 |
| 15 | 2008 | 6 | |
| 16 | Sloppy systems biology: tight predictions with loose parameters | 2007 | 1 |
| 17 | Universally Sloppy Parameter Sensitivities in Systems Biology Modelsbreakdown → | 2007 | 846 |
| 18 | 2007 | 42 | |
| 19 | 2006 | 108 | |
| 20 | 2005 | 33 |
About Joshua J. Waterfall
Joshua J. Waterfall is a scholar working on Cancer Research, Immunology and Molecular Biology, having authored 33 papers that have together received 4.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Genomics and Chromatin Dynamics (6 papers), RNA modifications and cancer (5 papers), interferon and immune responses (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer Genomics and Diagnostics (3 papers), RNA and protein synthesis mechanisms (3 papers) and Gene Regulatory Network Analysis (3 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Cancer Research (627 citations) and Aging (38 citations). Joshua J. Waterfall has collaborated with scholars based in United States, France and Ireland. Frequent co-authors include Leighton J. Core, John T. Lis, James P. Sethna, Ryan N. Gutenkunst, Christopher R. Myers, Fergal Casey, Kevin Brown, W. Lee Kraus, Nasun Hah and Adam Siepel. Their work appears in journals such as Science, Cell and Physical Review Letters.
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.