Con Sullivan
Impact in
- Immunology top 5%
- Aquaculture disease management and microbiota
- Immune Response and Inflammation
- interferon and immune responses
- Invertebrate Immune Response Mechanisms
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications
Papers in
- Immunology 12
- Aquaculture disease management and microbiota 7
- Immune Response and Inflammation 5
- interferon and immune responses 4
- Invertebrate Immune Response Mechanisms 2
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- Zebrafish Biomedical Research Applications 9
- Co-authors
- Carol H. Kim (15 shared papers)Paul J. Millard (6 shared papers)Christopher R. Lage (3 shared papers)John H. Postlethwait (3 shared papers)Michelle F. Goody (6 shared papers)Shaoguang Li (5 shared papers)Yaoyu Chen (5 shared papers)Cong Peng (5 shared papers)
- Journals
- Journal of Visualized Experiments (4 papers)PLoS ONE (3 papers)The Journal of Immunology (2 papers)Anti-Cancer Agents in Medicinal Chemistry (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Con Sullivan
23 papers receiving 988 citations
Peers
Comparison fields: 5 of 93
- Immunology 497
- Cell Biology 224
- Hematology 131
- Endocrinology 39
- Genetics 72
Countries citing papers authored by Con Sullivan
This map shows the geographic impact of Con Sullivan'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 Con Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Con Sullivan more than expected).
Fields of papers citing papers by Con Sullivan
This network shows the impact of papers produced by Con Sullivan. 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 Con Sullivan. The network helps show where Con Sullivan may publish in the future.
Co-authors
The 25 scholars most cited alongside Con Sullivan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 259 | |
| 2 | 2009 | 134 | |
| 3 | 2007 | 82 | |
| 4 | 2012 | 67 | |
| 5 | 2010 | 50 | |
| 6 | 2010 | 46 | |
| 7 | 2014 | 42 | |
| 8 | 2016 | 40 | |
| 9 | 2021 | 38 | |
| 10 | 2011 | 36 | |
| 11 | 2014 | 36 | |
| 12 | 2012 | 32 | |
| 13 | 2010 | 26 | |
| 14 | 2011 | 23 | |
| 15 | 2010 | 22 | |
| 16 | 2000 | 22 | |
| 17 | 2013 | 13 | |
| 18 | 2017 | 11 | |
| 19 | 2007 | 10 | |
| 20 | 2017 | 7 |
About Con Sullivan
Con Sullivan is a scholar working on Immunology, Cell Biology, Hematology, Genetics and Neurology, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (9 papers), Aquaculture disease management and microbiota (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Immune Response and Inflammation (5 papers), interferon and immune responses (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Invertebrate Immune Response Mechanisms (2 papers). The work is most often cited by research in Immunology (497 citations), Cell Biology (224 citations), Hematology (131 citations), Endocrinology (39 citations) and Genetics (72 citations). Con Sullivan has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Carol H. Kim, Paul J. Millard, Christopher R. Lage, John H. Postlethwait, Michelle F. Goody, Shaoguang Li, Yaoyu Chen, Cong Peng, Dongguang Li and Julian Catchen. Their work appears in journals such as Journal of Visualized Experiments, PLoS ONE, The Journal of Immunology, Anti-Cancer Agents in Medicinal Chemistry and Nature Genetics.
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.