Chris J. Eisley
Impact in
- Immunology top 5%
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- Surgery top 5%
- Eosinophilic Esophagitis
Papers in
-
- Animal Virus Infections Studies 2
- Genetics 2
- Genetic and phenotypic traits in livestock 2
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- David J. Erle (2 shared papers)Richard Lee Reinhardt (1 shared paper)Richard M. Locksley (1 shared paper)Hong-Erh Liang (1 shared paper)April E. Price (1 shared paper)Brandon M. Sullivan (1 shared paper)Peter K. McErlean (1 shared paper)Junqing Shen (1 shared paper)
- Journals
- BMC Genomics (1 paper)Genome Medicine (1 paper)Animal Genetics (1 paper)Scientific Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Chris J. Eisley
5 papers receiving 1.2k citations
Chris J. Eisley's Hit Papers
Peers
Comparison fields: 5 of 78
- Immunology 926
- Surgery 588
- Parasitology 49
- Physiology 182
- Animal Science and Zoology 65
Countries citing papers authored by Chris J. Eisley
This map shows the geographic impact of Chris J. Eisley'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 Chris J. Eisley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris J. Eisley more than expected).
Fields of papers citing papers by Chris J. Eisley
This network shows the impact of papers produced by Chris J. Eisley. 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 Chris J. Eisley. The network helps show where Chris J. Eisley may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris J. Eisley, 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 | Systemically dispersed innate IL-13–expressing cells in type 2 immunity Hit paper breakdown → | 2010 | 966 |
| 2 | 2014 | 124 | |
| 3 | 2015 | 78 | |
| 4 | 2017 | 26 | |
| 5 | 2014 | 23 |
About Chris J. Eisley
Chris J. Eisley is a scholar working on Animal Science and Zoology, Genetics, Cancer Research, Infectious Diseases and Immunology, having authored 5 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (2 papers), Animal Virus Infections Studies (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Cancer-related molecular mechanisms research (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Eosinophilic Esophagitis (1 paper), Asthma and respiratory diseases (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Immunology (926 citations), Surgery (588 citations), Parasitology (49 citations), Physiology (182 citations) and Animal Science and Zoology (65 citations). Chris J. Eisley has collaborated with scholars based in United States, Canada and France. Frequent co-authors include David J. Erle, Richard Lee Reinhardt, Richard M. Locksley, Hong-Erh Liang, April E. Price, Brandon M. Sullivan, Peter K. McErlean, Junqing Shen, Homer A. Boushey and Andrea J. Barczak. Their work appears in journals such as BMC Genomics, Genome Medicine, Animal Genetics, Scientific Reports and Proceedings of the National Academy of Sciences.
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.