David Remillard
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Molecular Biology top 10%
- Protein Degradation and Inhibitors
- Chromatin Remodeling and Cancer
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Genomics and Chromatin Dynamics
Papers in
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- Multiple Myeloma Research and Treatments 6
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- Protein Degradation and Inhibitors 9
- Ubiquitin and proteasome pathways 6
- RNA Research and Splicing 2
- Cancer-related gene regulation 2
- Chromatin Remodeling and Cancer 2
- Co-authors
- James E. Bradner (4 shared papers)Scott A. Armstrong (3 shared papers)Gerard L. Brien (3 shared papers)Nathanael S. Gray (3 shared papers)Hyuk‐Soo Seo (4 shared papers)Sirano Dhe‐Paganon (4 shared papers)Dennis L. Buckley (4 shared papers)Martin Wühr (2 shared papers)
- Journals
- Angewandte Chemie International Edition (2 papers)Nature Structural & Molecular Biology (1 paper)eLife (1 paper)ACS Medicinal Chemistry Letters (1 paper)ACS Chemical Biology (1 paper)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
David Remillard
11 papers receiving 874 citations
Peers
Comparison fields: 5 of 65
- Hematology 148
- Molecular Biology 786
- Pathology and Forensic Medicine 144
- Oncology 181
- Cancer Research 39
Countries citing papers authored by David Remillard
This map shows the geographic impact of David Remillard'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 David Remillard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Remillard more than expected).
Fields of papers citing papers by David Remillard
This network shows the impact of papers produced by David Remillard. 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 David Remillard. The network helps show where David Remillard may publish in the future.
Co-authors
The 25 scholars most cited alongside David Remillard, 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 | 2018 | 272 | |
| 2 | 2017 | 221 | |
| 3 | 2018 | 159 | |
| 4 | 2022 | 86 | |
| 5 | 2023 | 47 | |
| 6 | 2022 | 30 | |
| 7 | 2023 | 21 | |
| 8 | 2017 | 19 | |
| 9 | 2016 | 14 | |
| 10 | 2019 | 14 | |
| 11 | 2021 | 7 |
About David Remillard
David Remillard is a scholar working on Hematology, Molecular Biology, Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 890 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (9 papers), Ubiquitin and proteasome pathways (6 papers), Multiple Myeloma Research and Treatments (6 papers), RNA Research and Splicing (2 papers), Cancer-related gene regulation (2 papers), Chromatin Remodeling and Cancer (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Hematology (148 citations), Molecular Biology (786 citations), Pathology and Forensic Medicine (144 citations), Oncology (181 citations) and Cancer Research (39 citations). David Remillard has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include James E. Bradner, Scott A. Armstrong, Gerard L. Brien, Nathanael S. Gray, Hyuk‐Soo Seo, Sirano Dhe‐Paganon, Dennis L. Buckley, Martin Wühr, Matthew Sonnett and Joshiawa Paulk. Their work appears in journals such as Angewandte Chemie International Edition, Nature Structural & Molecular Biology, eLife, ACS Medicinal Chemistry Letters and ACS Chemical 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.