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
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- Cancer-related molecular mechanisms research 2
-
- Trauma, Hemostasis, Coagulopathy, Resuscitation 1
- Co-authors
- Amy Pandya‐Jones (2 shared papers)Kathrin Plath (2 shared papers)Michael J. Sweredoski (2 shared papers)Christine Surka (2 shared papers)Patrick E. McDonel (2 shared papers)Amy Y. Chow (2 shared papers)Annie Moradian (2 shared papers)Sonja Y. Hess (2 shared papers)
- Journals
- Translational Psychiatry (1 paper)Nature (1 paper)Blood Coagulation & Fibrinolysis (1 paper)Cell Death and Disease (1 paper)Thrombosis Research (1 paper)
- Partner nations
- United StatesGermanyPuerto Rico
In The Last Decade
Julia Su
7 papers receiving 902 citations
Julia Su's Hit Papers
Peers
Comparison fields: 5 of 54
- Cancer Research 509
- Molecular Biology 774
- Genetics 165
- Endocrinology 20
- Immunology 48
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 | 910 |
| 2 | 2020 | 6 | |
| 3 | The Xist lncRNA interacts directly with SHARP to silence transcription through HDAC3 | 2015 | 3 |
| 4 | 2023 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2026 | 1 | |
| 8 | 2025 | 0 |
About Julia Su
Julia Su is a scholar working on Cancer Research, Critical Care and Intensive Care Medicine, Hematology, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience, having authored 8 papers that have together received 924 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (2 papers), Blood Coagulation and Thrombosis Mechanisms (1 paper), Autophagy in Disease and Therapy (1 paper), RNA modifications and cancer (1 paper), Neonatal Health and Biochemistry (1 paper), RNA Research and Splicing (1 paper), Trauma, Hemostasis, Coagulopathy, Resuscitation (1 paper) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Cancer Research (509 citations), Molecular Biology (774 citations), Genetics (165 citations), Endocrinology (20 citations) and Immunology (48 citations). Julia Su has collaborated with scholars based in United States, Germany and Puerto Rico. Frequent co-authors include Amy Pandya‐Jones, Kathrin Plath, Michael J. Sweredoski, Christine Surka, Patrick E. McDonel, Amy Y. Chow, Annie Moradian, Sonja Y. Hess, Mitchell Guttman and Alexander A. Shishkin. Their work appears in journals such as Translational Psychiatry, Nature, Blood Coagulation & Fibrinolysis, Cell Death and Disease and Thrombosis Research.
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.