Christine Will
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
Papers in
-
- Epigenetics and DNA Methylation 11
- Histone Deacetylase Inhibitors Research 8
- Protein Degradation and Inhibitors 5
- Cancer-related gene regulation 5
- Genomics and Chromatin Dynamics 3
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- Multiple Myeloma Research and Treatments 7
- Co-authors
- Jonathan D. Licht (18 shared papers)Relja Popovic (12 shared papers)Eva Martínez-García (8 shared papers)Neil L. Kelleher (9 shared papers)Teresa Ezponda (11 shared papers)Yupeng Zheng (4 shared papers)Eliza C. Small (7 shared papers)Dong Joon Min (1 shared paper)
- Journals
- Blood (10 papers)Oncogene (3 papers)Cell Reports (2 papers)Journal of Clinical Oncology (1 paper)Neuropeptides (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Christine Will
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Hematology 280
- Molecular Biology 871
- Cancer Research 123
- Oncology 133
- Endocrine and Autonomic Systems 29
Countries citing papers authored by Christine Will
This map shows the geographic impact of Christine Will'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 Christine Will with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Will more than expected).
Fields of papers citing papers by Christine Will
This network shows the impact of papers produced by Christine Will. 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 Christine Will. The network helps show where Christine Will may publish in the future.
Co-authors
The 25 scholars most cited alongside Christine Will, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 277 | |
| 2 | 2014 | 184 | |
| 3 | 2012 | 130 | |
| 4 | 2017 | 93 | |
| 5 | 2012 | 70 | |
| 6 | 2016 | 69 | |
| 7 | 2019 | 67 | |
| 8 | 2015 | 53 | |
| 9 | 2018 | 37 | |
| 10 | 1997 | 34 | |
| 11 | 2015 | 33 | |
| 12 | 2017 | 24 | |
| 13 | 1994 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2014 | 7 | |
| 16 | 2015 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2012 | 3 | |
| 20 | 2023 | 3 |
About Christine Will
Christine Will is a scholar working on Molecular Biology, Hematology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (11 papers), Histone Deacetylase Inhibitors Research (8 papers), Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (5 papers), Cancer-related gene regulation (5 papers), Acute Lymphoblastic Leukemia research (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Hematology (280 citations), Molecular Biology (871 citations), Cancer Research (123 citations), Oncology (133 citations) and Endocrine and Autonomic Systems (29 citations). Christine Will has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Jonathan D. Licht, Relja Popovic, Eva Martínez-García, Neil L. Kelleher, Teresa Ezponda, Yupeng Zheng, Eliza C. Small, Dong Joon Min, Leonid Zamdborg and David Levens. Their work appears in journals such as Blood, Oncogene, Cell Reports, Journal of Clinical Oncology and Neuropeptides.
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.