Julia Wu
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
Papers in
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- Glycosylation and Glycoproteins Research 3
- Ubiquitin and proteasome pathways 2
- RNA Interference and Gene Delivery 2
- Histone Deacetylase Inhibitors Research 2
- Immunology 10
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 4
- Co-authors
- Katherine Oravecz-Wilson (15 shared papers)Pavan Reddy (15 shared papers)Yaping Sun (13 shared papers)Tomomi Toubai (11 shared papers)Corinne Rossi (8 shared papers)Chen Liu (7 shared papers)Nathan D. Mathewson (9 shared papers)Hideaki Fujiwara (6 shared papers)
- Journals
- Blood (5 papers)Journal of Clinical Investigation (3 papers)The Journal of Immunology (2 papers)Biology of Blood and Marrow Transplantation (2 papers)Gene (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Julia Wu
19 papers receiving 391 citations
Peers
Comparison fields: 5 of 61
- Immunology 167
- Hematology 80
- Cancer Research 61
- Molecular Biology 205
- Oncology 73
Countries citing papers authored by Julia Wu
This map shows the geographic impact of Julia Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Wu more than expected).
Fields of papers citing papers by Julia Wu
This network shows the impact of papers produced by Julia Wu. 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 Wu. The network helps show where Julia Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Wu, 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 | 2014 | 77 | |
| 2 | 2015 | 61 | |
| 3 | 2013 | 49 | |
| 4 | 2019 | 43 | |
| 5 | 2017 | 39 | |
| 6 | 2015 | 39 | |
| 7 | 2018 | 29 | |
| 8 | Apoptosis and cell death in the endocrine system. | 1999 | 13 |
| 9 | 2016 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 8 | |
| 12 | 2015 | 6 | |
| 13 | 2014 | 4 | |
| 14 | 2009 | 4 | |
| 15 | 2018 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2016 | 1 |
About Julia Wu
Julia Wu is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Hematology, having authored 19 papers that have together received 400 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers), Glycosylation and Glycoproteins Research (3 papers), Ubiquitin and proteasome pathways (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), RNA Interference and Gene Delivery (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Immunology (167 citations), Hematology (80 citations), Cancer Research (61 citations), Molecular Biology (205 citations) and Oncology (73 citations). Julia Wu has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Katherine Oravecz-Wilson, Pavan Reddy, Yaping Sun, Tomomi Toubai, Corinne Rossi, Chen Liu, Nathan D. Mathewson, Hideaki Fujiwara, Thomas L. Saunders and Richard C. McEachin. Their work appears in journals such as Blood, Journal of Clinical Investigation, The Journal of Immunology, Biology of Blood and Marrow Transplantation and Gene.
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.