William A. Ritchie
- Genetics top 1%
- Animal Genetics and Reproduction 20
- Virus-based gene therapy research 5
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- Reproductive Biology and Fertility 15
- Archeology top 5%
- Paleontology top 5%
- Archaeology and ancient environmental studies 11
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 12
- CRISPR and Genetic Engineering 7
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- Historical and Cultural Archaeology Studies 6
- Archaeology and Natural History 4
- Co-authors
- Keith CampbellI. WilmutJ. McWhirM. RitchieIan WilmutAngelika SchniekeAlan ColmanAlexander Kind
- Partner nations
- United KingdomUnited StatesNew Zealand
In The Last Decade
William A. Ritchie
48 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Genetics 1.8k
- Public Health, Environmental and Occupational Health 1.3k
- Archeology 44
- Paleontology 281
- Molecular Biology 2.5k
Countries citing papers authored by William A. Ritchie
This map shows the geographic impact of William A. Ritchie'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 William A. Ritchie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William A. Ritchie more than expected).
Fields of papers citing papers by William A. Ritchie
This network shows the impact of papers produced by William A. Ritchie. 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 William A. Ritchie. The network helps show where William A. Ritchie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William A. Ritchie, 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 | 2013 | 133 | |
| 2 | 2009 | 19 | |
| 3 | 2008 | 23 | |
| 4 | 2006 | 13 | |
| 5 | 2006 | 8 | |
| 6 | 2005 | 7 | |
| 7 | 2005 | 25 | |
| 8 | 2003 | 52 | |
| 9 | 2003 | 32 | |
| 10 | 2002 | 28 | |
| 11 | 2002 | 145 | |
| 12 | 2001 | 28 | |
| 13 | 2001 | 198 | |
| 14 | 2000 | 13 | |
| 15 | Sheep cloned by nuclear transfer from a cultured cell linebreakdown → | 1996 | 1232 |
| 16 | 1993 | 168 | |
| 17 | 1992 | 21 | |
| 18 | A typology and nomenclature for New York projectile points | 1961 | 45 |
| 19 | An introduction to Hudson Valley prehistory | 1958 | 8 |
| 20 | Ground Slates: Eskimo or Indian? | 1951 | 3 |
About William A. Ritchie
William A. Ritchie is a scholar working on Paleontology, Microbiology, Anthropology, Space and Planetary Science and Genetics, having authored 53 papers that have together received 3.5k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (20 papers), Reproductive Biology and Fertility (15 papers), Pluripotent Stem Cells Research (12 papers), Archaeology and ancient environmental studies (11 papers), CRISPR and Genetic Engineering (7 papers), Historical and Cultural Archaeology Studies (6 papers), Virus-based gene therapy research (5 papers) and Archaeology and Natural History (4 papers). The work is most often cited by research in Genetics (1.8k citations), Public Health, Environmental and Occupational Health (1.3k citations), Archeology (44 citations), Paleontology (281 citations) and Molecular Biology (2.5k citations). William A. Ritchie has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Keith Campbell, I. Wilmut, J. McWhir, M. Ritchie, Ian Wilmut, Angelika Schnieke, Alan Colman, Alexander Kind, Angela Scott and Tim King. Their work appears in journals such as American Antiquity, Theriogenology, Biology of Reproduction, Transgenic Research and Reproduction.
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.