Julia Su
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Circular RNAs in diseases
- CRISPR and Genetic Engineering
Papers in
-
- RNA modifications and cancer 1
-
- Cancer-related molecular mechanisms research 2
- MicroRNA in disease regulation 1
- Co-authors
- Christina Tran (2 shared papers)Patrick McDonel (2 shared papers)Amy Chow (2 shared papers)Mitchell Guttman (2 shared papers)Michael J. Sweredoski (2 shared papers)Amy Pandya‐Jones (2 shared papers)Sonja Hess (2 shared papers)A.A. Shishkin (2 shared papers)
- Journals
- Translational Psychiatry (1 paper)Thrombosis Research (1 paper)Nature (1 paper)Blood Coagulation & Fibrinolysis (1 paper)MedEdPORTAL (2 papers)
- Partner nations
- United StatesGermanyPuerto Rico
In The Last Decade
Julia Su
6 papers receiving 843 citations
Julia Su's Hit Papers
Peers
Comparison fields: 5 of 50
- Cancer Research 482
- Molecular Biology 734
- Genetics 155
- Endocrinology 20
- Immunology 40
Countries citing papers authored by Julia Su
This map shows the geographic impact of Julia Su'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 Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Su more than expected).
Fields of papers citing papers by Julia Su
This network shows the impact of papers produced by Julia Su. 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 Su. The network helps show where Julia Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Su, 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 | The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3 Hit paper breakdown → | 2015 | 851 |
| 2 | 2020 | 4 | |
| 3 | The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3 | 2015 | 3 |
| 4 | 2023 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2021 | 1 | |
| 7 | 2025 | 0 |
About Julia Su
Julia Su is a scholar working on Molecular Biology, Cancer Research, Critical Care and Intensive Care Medicine, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience, having authored 7 papers that have together received 862 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (2 papers), Autism Spectrum Disorder Research (1 paper), Neonatal Health and Biochemistry (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper), MicroRNA in disease regulation (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Trauma, Hemostasis, Coagulopathy, Resuscitation (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cancer Research (482 citations), Molecular Biology (734 citations), Genetics (155 citations), Endocrinology (20 citations) and Immunology (40 citations). Julia Su has collaborated with scholars based in United States, Germany and Puerto Rico. Frequent co-authors include Christina Tran, Patrick McDonel, Amy Chow, Mitchell Guttman, Michael J. Sweredoski, Amy Pandya‐Jones, Sonja Hess, A.A. Shishkin, Colleen A. McHugh and Mario R. Blanco. Their work appears in journals such as Translational Psychiatry, Thrombosis Research, Nature, Blood Coagulation & Fibrinolysis and MedEdPORTAL.
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.