Con Sullivan
- Immunology top 5%
- Aquaculture disease management and microbiota 6
- Immune Response and Inflammation 5
- interferon and immune responses 4
- Cell Biology top 10%
- Zebrafish Biomedical Research Applications 9
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments 6
- Acute Myeloid Leukemia Research 2
- Endocrinology top 10%
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- Chronic Lymphocytic Leukemia Research 4
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- Neuroinflammation and Neurodegeneration Mechanisms 3
- Co-authors
- Carol H. KimPaul J. MillardJohn H. PostlethwaitChristopher LageMichelle F. GoodyCong PengYaoyu ChenShaoguang Li
- Cited by
- ImmunologyCell BiologyHematology
- Journals
- Journal of Visualized Experiments (4 papers)PLoS ONE (3 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Con Sullivan
22 papers receiving 909 citations
Peers
Comparison fields: 5 of 95
- Immunology 483
- Cell Biology 206
- Hematology 126
- Endocrinology 41
- Genetics 67
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 33 | |
| 2 | 2017 | 6 | |
| 3 | 2017 | 9 | |
| 4 | 2016 | 36 | |
| 5 | 2015 | 1 | |
| 6 | 2014 | 35 | |
| 7 | 2014 | 0 | |
| 8 | 2013 | 13 | |
| 9 | 2013 | 2 | |
| 10 | 2012 | 29 | |
| 11 | 2012 | 62 | |
| 12 | 2011 | 19 | |
| 13 | 2010 | 46 | |
| 14 | 2010 | 20 | |
| 15 | 2010 | 42 | |
| 16 | 2010 | 24 | |
| 17 | 2009 | 131 | |
| 18 | 2008 | 242 | |
| 19 | 2007 | 80 | |
| 20 | 2006 | 1 |
About Con Sullivan
Con Sullivan is a scholar working on Hematology, Cell Biology, Immunology, Genetics and Neurology, having authored 24 papers that have together received 922 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (9 papers), Chronic Myeloid Leukemia Treatments (6 papers), Aquaculture disease management and microbiota (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 Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Immunology (483 citations), Cell Biology (206 citations), Hematology (126 citations), Endocrinology (41 citations) and Genetics (67 citations). Con Sullivan has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Carol H. Kim, Paul J. Millard, John H. Postlethwait, Christopher Lage, Michelle F. Goody, Cong Peng, Yaoyu Chen, Shaoguang Li, Dongguang Li and Jeremy R. Charette. Their work appears in journals such as Journal of Visualized Experiments, PLoS ONE, The Journal of Immunology, Journal of Cellular Biochemistry and BioData Mining.
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.