Julie M. Bailis
- Oncology top 5%
- CAR-T cell therapy research 13
- Lung Cancer Research Studies 6
- Molecular Biology top 5%
- DNA Repair Mechanisms 15
- Genomics and Chromatin Dynamics 7
- Cancer therapeutics and mechanisms 5
- Fungal and yeast genetics research 5
- Cell Biology top 5%
- Microtubule and mitosis dynamics 5
- Cancer Research top 10%
- Aging top 10%
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- Monoclonal and Polyclonal Antibodies Research 18
- Co-authors
- Zhongsheng YouSusan L. ForsburgTony HunterG. Shirleen RoederCharly ChahwanPaul RussellAndrew NicklessKai He
- Journals
- Cancer Research (10 papers)Journal of Clinical Oncology (4 papers)Molecular and Cellular Biology (4 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Julie M. Bailis
53 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Oncology 788
- Molecular Biology 1.5k
- Cell Biology 299
- Cancer Research 273
- Aging 23
Countries citing papers authored by Julie M. Bailis
This map shows the geographic impact of Julie M. Bailis'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 Julie M. Bailis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julie M. Bailis more than expected).
Fields of papers citing papers by Julie M. Bailis
This network shows the impact of papers produced by Julie M. Bailis. 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 Julie M. Bailis. The network helps show where Julie M. Bailis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Julie M. Bailis, 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 | Emerging therapies targeting the delta-like ligand 3 (DLL3) in small cell lung cancerbreakdown → | 2023 | 89 |
| 2 | 2022 | 23 | |
| 3 | 2021 | 58 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 37 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 163 | |
| 8 | 2014 | 23 | |
| 9 | 2013 | 14 | |
| 10 | 2013 | 13 | |
| 11 | 2010 | 132 | |
| 12 | 2008 | 65 | |
| 13 | 2007 | 76 | |
| 14 | 2005 | 351 | |
| 15 | 2003 | 108 | |
| 16 | 2003 | 91 | |
| 17 | 2002 | 1 | |
| 18 | Large-scale screening of yeast artificial chromosome libraries using PCR. | 1994 | 2 |
| 19 | 1994 | 12 | |
| 20 | 1994 | 1 |
About Julie M. Bailis
Julie M. Bailis is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Structural Biology, Molecular Biology and Biotechnology, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (18 papers), DNA Repair Mechanisms (15 papers), CAR-T cell therapy research (13 papers), Genomics and Chromatin Dynamics (7 papers), Lung Cancer Research Studies (6 papers), Microtubule and mitosis dynamics (5 papers), Cancer therapeutics and mechanisms (5 papers) and Fungal and yeast genetics research (5 papers). The work is most often cited by research in Oncology (788 citations), Molecular Biology (1.5k citations), Cell Biology (299 citations), Cancer Research (273 citations) and Aging (23 citations). Julie M. Bailis has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Zhongsheng You, Susan L. Forsburg, Tony Hunter, G. Shirleen Roeder, Charly Chahwan, Paul Russell, Andrew Nickless, Kai He, Dwight H. Owen and Michael J. Giffin. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Molecular and Cellular Biology, Bioorganic & Medicinal Chemistry Letters and Nature Cell Biology.
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.