Richard H. Chapple
Impact in
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
-
- Single-cell and spatial transcriptomics 5
- Genomics and Chromatin Dynamics 2
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 1
-
- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 2
- Co-authors
- Daisuke Nakada (6 shared papers)Ayumi Kitano (4 shared papers)Angelique Lin (2 shared papers)Yusuke Saito (1 shared paper)Robert D. Schnabel (4 shared papers)Stephanie McKay (4 shared papers)Jeremy F. Taylor (4 shared papers)Megan M Rolf (3 shared papers)
- Journals
- Nature Communications (2 papers)Stem Cell Reports (2 papers)Animal Genetics (2 papers)Cell stem cell (1 paper)Cell Genomics (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Richard H. Chapple
14 papers receiving 807 citations
Peers
Comparison fields: 5 of 68
- Genetics 383
- Hematology 131
- Cancer Research 143
- Animal Science and Zoology 82
- Agronomy and Crop Science 57
Countries citing papers authored by Richard H. Chapple
This map shows the geographic impact of Richard H. Chapple'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 Richard H. Chapple with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard H. Chapple more than expected).
Fields of papers citing papers by Richard H. Chapple
This network shows the impact of papers produced by Richard H. Chapple. 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 Richard H. Chapple. The network helps show where Richard H. Chapple may publish in the future.
Co-authors
The 25 scholars most cited alongside Richard H. Chapple, 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 | 2015 | 196 | |
| 2 | 2010 | 192 | |
| 3 | 2011 | 170 | |
| 4 | 2018 | 66 | |
| 5 | 2012 | 63 | |
| 6 | 2018 | 37 | |
| 7 | 2018 | 37 | |
| 8 | 2013 | 18 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2025 | 3 | |
| 13 | 2025 | 1 | |
| 14 | 2019 | 1 |
About Richard H. Chapple
Richard H. Chapple is a scholar working on Molecular Biology, Hematology, Genetics, Immunology and Cancer Research, having authored 14 papers that have together received 817 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Genetic and phenotypic traits in livestock (3 papers), Acute Myeloid Leukemia Research (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Genetics (383 citations), Hematology (131 citations), Cancer Research (143 citations), Animal Science and Zoology (82 citations) and Agronomy and Crop Science (57 citations). Richard H. Chapple has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Daisuke Nakada, Ayumi Kitano, Angelique Lin, Yusuke Saito, Robert D. Schnabel, Stephanie McKay, Jeremy F. Taylor, Megan M Rolf, Matthew McClure and Natalia S. Morsci. Their work appears in journals such as Nature Communications, Stem Cell Reports, Animal Genetics, Cell stem cell and Cell Genomics.
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.