Christopher Childers
Impact in
- Insect Science top 5%
- Insect symbiosis and bacterial influences
- Insect and Pesticide Research
- Genetics top 10%
- Insect and Arachnid Ecology and Behavior
Papers in
-
- Genomics and Phylogenetic Studies 6
- Insect Resistance and Genetics 3
- Genetics 8
- Insect and Arachnid Ecology and Behavior 4
- Genetic Mapping and Diversity in Plants and Animals 3
- Genetic and phenotypic traits in livestock 3
- Co-authors
- Christine G. Elsik (5 shared papers)Justin Reese (4 shared papers)Mónica Muñoz-Torres (2 shared papers)Gregg Helt (1 shared paper)Ian Holmes (1 shared paper)Robert Buels (1 shared paper)Suzanna Lewis (1 shared paper)Lincoln Stein (1 shared paper)
- Journals
- BMC Genomics (3 papers)Nucleic Acids Research (3 papers)Animal Genetics (2 papers)Insects (1 paper)Genome biology (1 paper)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Christopher Childers
14 papers receiving 656 citations
Peers
Comparison fields: 5 of 82
- Insect Science 189
- Genetics 230
- Microbiology 38
- Ecology, Evolution, Behavior and Systematics 108
- Molecular Biology 338
Countries citing papers authored by Christopher Childers
This map shows the geographic impact of Christopher Childers'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 Christopher Childers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Childers more than expected).
Fields of papers citing papers by Christopher Childers
This network shows the impact of papers produced by Christopher Childers. 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 Christopher Childers. The network helps show where Christopher Childers may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Childers, 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 | 226 | |
| 2 | 2010 | 123 | |
| 3 | 2014 | 119 | |
| 4 | 2010 | 40 | |
| 5 | 2021 | 33 | |
| 6 | 2010 | 26 | |
| 7 | 2005 | 24 | |
| 8 | 2010 | 19 | |
| 9 | 2015 | 17 | |
| 10 | 2009 | 14 | |
| 11 | 2018 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2010 | 4 | |
| 14 | 2015 | 3 | |
| 15 | 2019 | 1 |
About Christopher Childers
Christopher Childers is a scholar working on Molecular Biology, Genetics, Insect Science, Immunology and Cancer Research, having authored 15 papers that have together received 662 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Insect symbiosis and bacterial influences (5 papers), Insect and Arachnid Ecology and Behavior (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genetic and phenotypic traits in livestock (3 papers), T-cell and B-cell Immunology (3 papers), Insect Resistance and Genetics (3 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Insect Science (189 citations), Genetics (230 citations), Microbiology (38 citations), Ecology, Evolution, Behavior and Systematics (108 citations) and Molecular Biology (338 citations). Christopher Childers has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Christine G. Elsik, Justin Reese, Mónica Muñoz-Torres, Gregg Helt, Ian Holmes, Robert Buels, Suzanna Lewis, Lincoln Stein, Kevin L. Childs and Jaideep P. Sundaram. Their work appears in journals such as BMC Genomics, Nucleic Acids Research, Animal Genetics, Insects and Genome biology.
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.