Daniel Picard
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA Research and Splicing 6
- Protein Degradation and Inhibitors 4
- Circular RNAs in diseases 4
- Chromatin Remodeling and Cancer 4
- Genetics 18
- Glioma Diagnosis and Treatment 18
- Co-authors
- Marc Remke (35 shared papers)Patricia M. Schulte (2 shared papers)Cynthia Hawkins (5 shared papers)Annie Huang (7 shared papers)Arndt Borkhardt (14 shared papers)Guido Reifenberger (9 shared papers)Gabriel Leprivier (5 shared papers)Barak Rotblat (4 shared papers)
- Journals
- Neuro-Oncology (7 papers)Neuro-Oncology Advances (4 papers)Cell Death Discovery (3 papers)Cancer Research (3 papers)Cancers (2 papers)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Daniel Picard
55 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 100
- Genetics 203
- Cancer Research 286
- Molecular Biology 569
- Biotechnology 56
- Oncology 174
Countries citing papers authored by Daniel Picard
This map shows the geographic impact of Daniel Picard'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 Daniel Picard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Picard more than expected).
Fields of papers citing papers by Daniel Picard
This network shows the impact of papers produced by Daniel Picard. 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 Daniel Picard. The network helps show where Daniel Picard may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Picard, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 133 | |
| 2 | 2005 | 67 | |
| 3 | 1994 | 56 | |
| 4 | 2017 | 51 | |
| 5 | 2017 | 50 | |
| 6 | 2010 | 47 | |
| 7 | 2020 | 47 | |
| 8 | 2005 | 44 | |
| 9 | 2009 | 42 | |
| 10 | 2013 | 37 | |
| 11 | 2017 | 36 | |
| 12 | 2003 | 36 | |
| 13 | 1984 | 32 | |
| 14 | 2016 | 31 | |
| 15 | 2019 | 28 | |
| 16 | 2004 | 26 | |
| 17 | 2022 | 22 | |
| 18 | 2014 | 19 | |
| 19 | 2021 | 18 | |
| 20 | 2016 | 16 |
About Daniel Picard
Daniel Picard is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Immunology, having authored 64 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (18 papers), Cancer-related molecular mechanisms research (9 papers), RNA Research and Splicing (6 papers), Neuroblastoma Research and Treatments (6 papers), Protein Degradation and Inhibitors (4 papers), Cancer Cells and Metastasis (4 papers), Circular RNAs in diseases (4 papers) and Chromatin Remodeling and Cancer (4 papers). The work is most often cited by research in Genetics (203 citations), Cancer Research (286 citations), Molecular Biology (569 citations), Biotechnology (56 citations) and Oncology (174 citations). Daniel Picard has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Marc Remke, Patricia M. Schulte, Cynthia Hawkins, Annie Huang, Arndt Borkhardt, Guido Reifenberger, Gabriel Leprivier, Barak Rotblat, Katalin A. Hudak and Ulvi Ahmadov. Their work appears in journals such as Neuro-Oncology, Neuro-Oncology Advances, Cell Death Discovery, Cancer Research and Cancers.
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.