Cody C. Allison
- Immunology top 5%
- Molecular Biology
- Surgery top 10%
- Epidemiology top 10%
- Infectious Diseases top 10%
- Co-authors
- Richard L. FerreroMaria Kaparakis‐LiaskosMarc PellegriniElisabeth KremmerThomas A. KuferSimon PrestonMichael D. StutzSamar Ojaimi
- Topics
- Cell death mechanisms and regulation (7 papers)Helicobacter pylori-related gastroenterology studies (6 papers)Hepatitis B Virus Studies (6 papers)
- Cited by
- ImmunologyEndocrinologyVirology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Cody C. Allison
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Immunology 484
- Molecular Biology 316
- Surgery 289
- Epidemiology 289
- Infectious Diseases 229
Countries citing papers authored by Cody C. Allison
This map shows the geographic impact of Cody C. Allison'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 Cody C. Allison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cody C. Allison more than expected).
Fields of papers citing papers by Cody C. Allison
This network shows the impact of papers produced by Cody C. Allison. 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 Cody C. Allison. The network helps show where Cody C. Allison may publish in the future.
Co-authorship network of co-authors of Cody C. Allison
This figure shows the co-authorship network connecting the top 25 collaborators of Cody C. Allison. A scholar is included among the top collaborators of Cody C. Allison based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cody C. Allison. Cody C. Allison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 27 | |
| 7 | 66 | |
| 8 | 19 | |
| 9 | 71 | |
| 10 | 70 | |
| 11 | 21 | |
| 12 | 10 | |
| 13 | 17 | |
| 14 | 75 | |
| 15 | 31 | |
| 16 | 13 | |
| 17 | 145 | |
| 18 | 95 | |
| 19 | 28 | |
| 20 | 50 |
About Cody C. Allison
Cody C. Allison is a scholar working on Immunology, Infectious Diseases and Transplantation, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (7 papers), Helicobacter pylori-related gastroenterology studies (6 papers) and Hepatitis B Virus Studies (6 papers). The work is most often cited by research in Immunology (484 citations), Endocrinology (106 citations) and Virology (64 citations). Cody C. Allison has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Richard L. Ferrero, Maria Kaparakis‐Liaskos, Marc Pellegrini, Elisabeth Kremmer, Thomas A. Kufer, Simon Preston, Michael D. Stutz, Samar Ojaimi, John Silke and James P. Cooney. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.