Peter Orchard
Impact in
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- Genomics and Chromatin Dynamics
- Muscle Physiology and Disorders
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- Single-cell and spatial transcriptomics
Papers in
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- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 4
- Genomics and Phylogenetic Studies 3
- RNA and protein synthesis mechanisms 2
- Gene expression and cancer classification 1
- Bioinformatics and Genomic Networks 1
- Genetics 4
- Genomics and Rare Diseases 1
- Co-authors
- Stephen C.J. Parker (8 shared papers)John Hensley (3 shared papers)Jacob O. Kitzman (3 shared papers)Yasuhiro Kyono (3 shared papers)Marion Kirchner (1 shared paper)Thorsten Mascher (1 shared paper)Stephanie Bauer (1 shared paper)Georg Fritz (1 shared paper)
- Journals
- Genome Research (2 papers)Genome biology (2 papers)Nature Communications (2 papers)Diabetes (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Peter Orchard
11 papers receiving 230 citations
Peers
Comparison fields: 5 of 56
- Microbiology 18
- Molecular Biology 177
- Genetics 57
- Molecular Medicine 7
- Rehabilitation 7
Countries citing papers authored by Peter Orchard
This map shows the geographic impact of Peter Orchard'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 Peter Orchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Orchard more than expected).
Fields of papers citing papers by Peter Orchard
This network shows the impact of papers produced by Peter Orchard. 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 Peter Orchard. The network helps show where Peter Orchard may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Orchard, 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 | 2016 | 63 | |
| 2 | 2020 | 43 | |
| 3 | 2021 | 37 | |
| 4 | 2020 | 22 | |
| 5 | 2023 | 15 | |
| 6 | 2021 | 15 | |
| 7 | 2022 | 12 | |
| 8 | 2018 | 8 | |
| 9 | 2018 | 8 | |
| 10 | 2021 | 4 | |
| 11 | 2024 | 3 |
About Peter Orchard
Peter Orchard is a scholar working on Molecular Biology, Genetics, Surgery, Ecology and Physiology, having authored 11 papers that have together received 230 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers), Genomics and Phylogenetic Studies (3 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Rare Diseases (1 paper), Gene expression and cancer classification (1 paper), Chromosomal and Genetic Variations (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Microbiology (18 citations), Molecular Biology (177 citations), Genetics (57 citations), Molecular Medicine (7 citations) and Rehabilitation (7 citations). Peter Orchard has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Stephen C.J. Parker, John Hensley, Jacob O. Kitzman, Yasuhiro Kyono, Marion Kirchner, Thorsten Mascher, Stephanie Bauer, Georg Fritz, Jara Radeck and Susanne Gebhard. Their work appears in journals such as Genome Research, Genome biology, Nature Communications, Diabetes and Human Molecular Genetics.
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.