Daniel Richard
Impact in
- Rheumatology top 10%
- Osteoarthritis Treatment and Mechanisms
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- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 5
- Epigenetics and DNA Methylation 2
- CRISPR and Genetic Engineering 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Co-authors
- Terence D. Capellini (12 shared papers)Pushpanathan Muthuirulan (7 shared papers)I‐Min Lee (1 shared paper)Daniel E. Lieberman (1 shared paper)Aaron L. Baggish (1 shared paper)Andrew C. Doxey (4 shared papers)Mariel Young (4 shared papers)Evelyn Jagoda (4 shared papers)
- Journals
- eLife (3 papers)Cell (2 papers)Bioinformatics (1 paper)Human Molecular Genetics (1 paper)Arthritis & Rheumatology (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel Richard
17 papers receiving 326 citations
Peers
Comparison fields: 5 of 86
- Rheumatology 91
- Cancer Research 39
- Aging 5
- Genetics 55
- Equine 3
Countries citing papers authored by Daniel Richard
This map shows the geographic impact of Daniel Richard'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 Richard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Richard more than expected).
Fields of papers citing papers by Daniel Richard
This network shows the impact of papers produced by Daniel Richard. 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 Richard. The network helps show where Daniel Richard may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Richard, 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 | 2020 | 87 | |
| 2 | 2021 | 48 | |
| 3 | 2017 | 26 | |
| 4 | 2021 | 24 | |
| 5 | 2022 | 22 | |
| 6 | 2017 | 21 | |
| 7 | 2021 | 17 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2025 | 4 | |
| 17 | 2025 | 3 |
About Daniel Richard
Daniel Richard is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Genetics and Infectious Diseases, having authored 17 papers that have together received 329 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Cancer-related molecular mechanisms research (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Epigenetics and DNA Methylation (2 papers), Genetic Syndromes and Imprinting (2 papers), MicroRNA in disease regulation (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Rheumatology (91 citations), Cancer Research (39 citations), Aging (5 citations), Genetics (55 citations) and Equine (3 citations). Daniel Richard has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Terence D. Capellini, Pushpanathan Muthuirulan, I‐Min Lee, Daniel E. Lieberman, Aaron L. Baggish, Andrew C. Doxey, Mariel Young, Evelyn Jagoda, Shayan Hosseinzadeh and Zun Liu. Their work appears in journals such as eLife, Cell, Bioinformatics, Human Molecular Genetics and Arthritis & Rheumatology.
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.