James J. Moore
Impact in
- Developmental Biology top 5%
- Animal Vocal Communication and Behavior
- Genetics top 5%
- Genetic diversity and population structure
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Genetic and phenotypic traits in livestock
Papers in
- Genetics 5
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Evolution and Genetic Dynamics 1
- Genetic Mapping and Diversity in Plants and Animals 1
-
- Primate Behavior and Ecology 4
- Co-authors
- David S. Woodruff (3 shared papers)Phillip A. Morin (3 shared papers)Ranajit Chakraborty (2 shared papers)Jin Li (1 shared paper)Jane Goodall (1 shared paper)Janette Wallis (2 shared papers)Christa Niederhauser-Wiederkehr (2 shared papers)Michael Primig (2 shared papers)
- Journals
- Molecular Ecology (1 paper)Nucleic Acids Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)Science (1 paper)Primates (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
James J. Moore
6 papers receiving 781 citations
Peers
Comparison fields: 5 of 76
- Developmental Biology 66
- Genetics 358
- Social Psychology 255
- Reproductive Medicine 98
- Ecology, Evolution, Behavior and Systematics 156
Countries citing papers authored by James J. Moore
This map shows the geographic impact of James J. Moore'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 James J. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James J. Moore more than expected).
Fields of papers citing papers by James J. Moore
This network shows the impact of papers produced by James J. Moore. 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 James J. Moore. The network helps show where James J. Moore may publish in the future.
Co-authors
The 19 scholars most cited alongside James J. Moore, 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 | 1994 | 406 | |
| 2 | 2007 | 216 | |
| 3 | 1994 | 93 | |
| 4 | 1993 | 65 | |
| 5 | 2005 | 32 | |
| 6 | 2006 | 18 |
About James J. Moore
James J. Moore is a scholar working on Genetics, Social Psychology, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 6 papers that have together received 830 indexed citations. Recurring topics across this work include Primate Behavior and Ecology (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Wildlife Ecology and Conservation (2 papers), Animal Behavior and Reproduction (2 papers), Genomics and Phylogenetic Studies (1 paper), Evolution and Genetic Dynamics (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Developmental Biology (66 citations), Genetics (358 citations), Social Psychology (255 citations), Reproductive Medicine (98 citations) and Ecology, Evolution, Behavior and Systematics (156 citations). James J. Moore has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include David S. Woodruff, Phillip A. Morin, Ranajit Chakraborty, Jin Li, Jane Goodall, Janette Wallis, Christa Niederhauser-Wiederkehr, Michael Primig, Alexandre Gattiker and Debra J. Wolgemuth. Their work appears in journals such as Molecular Ecology, Nucleic Acids Research, Proceedings of the National Academy of Sciences, Science and Primates.
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.