Julia Pak
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- RNA modifications and cancer
- Fungal and yeast genetics research
- DNA Repair Mechanisms
- RNA Interference and Gene Delivery
Papers in
-
- Fungal and yeast genetics research 3
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 3
- Genomics and Chromatin Dynamics 2
- DNA Repair Mechanisms 2
- RNA modifications and cancer 2
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- MicroRNA in disease regulation 3
- Co-authors
- Andrew Fire (5 shared papers)Jacqueline Segall (3 shared papers)Jay M. Maniar (2 shared papers)Sam Guoping Gu (2 shared papers)Scott Kennedy (1 shared paper)Shouhong Guang (1 shared paper)Cecilia C. Mello (1 shared paper)Michael Stadler (1 shared paper)
- Journals
- Molecular and Cellular Biology (2 papers)Molecular Genetics and Genomics (1 paper)Nature Genetics (1 paper)Science (1 paper)RNA (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Julia Pak
9 papers receiving 936 citations
Julia Pak's Hit Papers
Peers
Comparison fields: 5 of 61
- Aging 253
- Molecular Biology 807
- Cancer Research 115
- Plant Science 265
- Endocrinology 21
Countries citing papers authored by Julia Pak
This map shows the geographic impact of Julia Pak'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 Julia Pak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Pak more than expected).
Fields of papers citing papers by Julia Pak
This network shows the impact of papers produced by Julia Pak. 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 Julia Pak. The network helps show where Julia Pak may publish in the future.
Co-authors
The 16 scholars most cited alongside Julia Pak, 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 | Distinct Populations of Primary and Secondary Effectors During RNAi in C. elegans Hit paper breakdown → | 2006 | 462 |
| 2 | 2012 | 205 | |
| 3 | 2002 | 71 | |
| 4 | 2012 | 63 | |
| 5 | 2002 | 51 | |
| 6 | 2012 | 49 | |
| 7 | 2003 | 18 | |
| 8 | 2007 | 14 | |
| 9 | 1997 | 13 |
About Julia Pak
Julia Pak is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Aging and Biomedical Engineering, having authored 9 papers that have together received 946 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Fungal and yeast genetics research (3 papers), RNA Research and Splicing (3 papers), CRISPR and Genetic Engineering (3 papers), Genomics and Chromatin Dynamics (2 papers), DNA Repair Mechanisms (2 papers), RNA modifications and cancer (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (253 citations), Molecular Biology (807 citations), Cancer Research (115 citations), Plant Science (265 citations) and Endocrinology (21 citations). Julia Pak has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Andrew Fire, Jacqueline Segall, Jay M. Maniar, Sam Guoping Gu, Scott Kennedy, Shouhong Guang, Cecilia C. Mello, Michael Stadler, Karen L. Artiles and Siegfried Hekimi. Their work appears in journals such as Molecular and Cellular Biology, Molecular Genetics and Genomics, Nature Genetics, Science and RNA.
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.