Chad Whilding
Impact in
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Gene Regulatory Network Analysis
- CRISPR and Genetic Engineering
- Metabolism, Diabetes, and Cancer
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- Systemic Lupus Erythematosus Research
Papers in
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- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 2
- Pluripotent Stem Cells Research 2
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Genetics 3
- Genetic Syndromes and Imprinting 2
- Co-authors
- Dirk Dormann (3 shared papers)Jacques Behmoaras (1 shared paper)Marina Botto (1 shared paper)Guang Sheng Ling (1 shared paper)Thomas Cairns (1 shared paper)Norzawani B Buang (1 shared paper)Matthew C. Pickering (1 shared paper)Alessandro Sardini (2 shared papers)
- Journals
- Nature Communications (3 papers)Nature Structural & Molecular Biology (2 papers)Developmental Cell (1 paper)Current Biology (1 paper)Cell Reports (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Chad Whilding
12 papers receiving 319 citations
Peers
Comparison fields: 5 of 53
- Molecular Biology 228
- Rheumatology 41
- Immunology 60
- Aging 3
- Physiology 7
Countries citing papers authored by Chad Whilding
This map shows the geographic impact of Chad Whilding'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 Chad Whilding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Whilding more than expected).
Fields of papers citing papers by Chad Whilding
This network shows the impact of papers produced by Chad Whilding. 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 Chad Whilding. The network helps show where Chad Whilding may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Whilding, 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 | 2021 | 83 | |
| 2 | 2020 | 71 | |
| 3 | 2022 | 36 | |
| 4 | 2020 | 27 | |
| 5 | 2023 | 27 | |
| 6 | 2022 | 21 | |
| 7 | 2023 | 18 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 11 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 2 | |
| 13 | 2025 | 0 | |
| 14 | 2026 | 0 |
About Chad Whilding
Chad Whilding is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Surgery, having authored 14 papers that have together received 319 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (3 papers), Ubiquitin and proteasome pathways (2 papers), Genetic Syndromes and Imprinting (2 papers), T-cell and B-cell Immunology (2 papers), Pluripotent Stem Cells Research (2 papers), RNA modifications and cancer (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (228 citations), Rheumatology (41 citations), Immunology (60 citations), Aging (3 citations) and Physiology (7 citations). Chad Whilding has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Dirk Dormann, Jacques Behmoaras, Marina Botto, Guang Sheng Ling, Thomas Cairns, Norzawani B Buang, Matthew C. Pickering, Alessandro Sardini, Liz Lightstone and Samuel Marguerat. Their work appears in journals such as Nature Communications, Nature Structural & Molecular Biology, Developmental Cell, Current Biology and Cell Reports.
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.