Con Sullivan

1.2k total citations
24 papers, 922 citations indexed

About

Con Sullivan is a scholar working on Immunology, Cell Biology and Molecular Biology. According to data from OpenAlex, Con Sullivan has authored 24 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 9 papers in Cell Biology and 8 papers in Molecular Biology. Recurrent topics in Con Sullivan's work include Zebrafish Biomedical Research Applications (9 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Aquaculture disease management and microbiota (6 papers). Con Sullivan is often cited by papers focused on Zebrafish Biomedical Research Applications (9 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Aquaculture disease management and microbiota (6 papers). Con Sullivan collaborates with scholars based in United States, Australia and China. Con Sullivan's 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 and has published in prestigious journals such as Nature Genetics, Blood and The Journal of Immunology.

In The Last Decade

Con Sullivan

22 papers receiving 909 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Con Sullivan United States	16	483	274	206	126	67	24	922
Jacques Marti France	21	328 0.7×	698 2.5×	62 0.3×	112 0.9×	49 0.7×	59	1.3k
Loretta Pappan United States	11	295 0.6×	397 1.4×	50 0.2×	83 0.7×	35 0.5×	12	1.1k
Koji Ando Japan	15	178 0.4×	214 0.8×	51 0.2×	96 0.8×	26 0.4×	82	635
Azucena López‐Muñoz Spain	19	1.1k 2.3×	307 1.1×	197 1.0×	24 0.2×	14 0.2×	24	1.5k
Aline Fiebig‐Comyn Canada	16	108 0.2×	1.1k 4.0×	90 0.4×	109 0.9×	114 1.7×	26	1.7k
Atsushi Fukuoh Japan	17	371 0.8×	897 3.3×	55 0.3×	42 0.3×	23 0.3×	23	1.4k
Sujatha Krishnakumar United States	17	198 0.4×	670 2.4×	93 0.5×	54 0.4×	16 0.2×	23	1.2k
Chi‐Ming Liang Taiwan	19	221 0.5×	387 1.4×	40 0.2×	54 0.4×	18 0.3×	31	942
Michael J. Johnston United Kingdom	17	258 0.5×	520 1.9×	58 0.3×	16 0.1×	27 0.4×	28	1.2k

Countries citing papers authored by Con Sullivan

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Con Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Con Sullivan. A scholar is included among the top collaborators of Con Sullivan 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 Con Sullivan. Con Sullivan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sullivan, Con, et al.. (2021). Modeling Virus-Induced Inflammation in Zebrafish: A Balance Between Infection Control and Excessive Inflammation. Frontiers in Immunology. 12. 636623–636623. 33 indexed citations

Sullivan, Con, Christopher Lage, Jeffrey A. Yoder, John H. Postlethwait, & Carol H. Kim. (2017). Evolutionary divergence of the vertebrate TNFAIP8 gene family: Applying the spotted gar orthology bridge to understand ohnolog loss in teleosts. PLoS ONE. 12(6). e0179517–e0179517. 6 indexed citations

Sullivan, Con, et al.. (2017). Using Zebrafish Models of Human Influenza A Virus Infections to Screen Antiviral Drugs and Characterize Host Immune Cell Responses. Journal of Visualized Experiments. 9 indexed citations

Sullivan, Con, Molly A. Matty, Denise Jurczyszak, et al.. (2016). Infectious disease models in zebrafish. Methods in cell biology. 138. 101–136. 36 indexed citations

Gui, Jiang, Casey S. Greene, Con Sullivan, et al.. (2015). Testing multiple hypotheses through IMP weighted FDR based on a genetic functional network with application to a new zebrafish transcriptome study. BioData Mining. 8(1). 17–17. 1 indexed citations

Goody, Michelle F., Con Sullivan, & Carol H. Kim. (2014). Studying the immune response to human viral infections using zebrafish. Developmental & Comparative Immunology. 46(1). 84–95. 35 indexed citations

Gui, Jiang, Walter Taylor, Jason H. Moore, et al.. (2014). Testing multiple hypotheses through IMP weighted FDR based on a genetic functional network with application to a new zebrafish transcriptome study. 99. 63–67.

Goody, Michelle F., et al.. (2013). Quantification of the Respiratory Burst Response as an Indicator of Innate Immune Health in Zebrafish. Journal of Visualized Experiments. 13 indexed citations

Goody, Michelle F., et al.. (2013). Quantification of the Respiratory Burst Response as an Indicator of Innate Immune Health in Zebrafish. Journal of Visualized Experiments. 2 indexed citations

10.

Sullivan, Con, et al.. (2012). Novel Interactions between FOXM1 and CDC25A Regulate the Cell Cycle. PLoS ONE. 7(12). e51277–e51277. 29 indexed citations

11.

Zhang, Haojian, Cong Peng, Yiguo Hu, et al.. (2012). The Blk pathway functions as a tumor suppressor in chronic myeloid leukemia stem cells. Nature Genetics. 44(8). 861–871. 62 indexed citations

12.

Sullivan, Con, Yaoyu Chen, Yi Shan, et al.. (2011). Functional Ramifications for the Loss of P-Selectin Expression on Hematopoietic and Leukemic Stem Cells. PLoS ONE. 6(10). e26246–e26246. 19 indexed citations

13.

Chen, Y, et al.. (2010). Critical molecular pathways in cancer stem cells of chronic myeloid leukemia. Leukemia. 24(9). 1545–1554. 46 indexed citations

14.

Chen, Yaoyu, Cong Peng, Con Sullivan, Dongguang Li, & Shaoguang Li. (2010). Novel Therapeutic Agents Against Cancer Stem Cells of Chronic Myeloid Leukemia. Anti-Cancer Agents in Medicinal Chemistry. 10(2). 111–115. 20 indexed citations

15.

Liu, Youhong, Janet M. Hock, Con Sullivan, et al.. (2010). Activation of the p38 MAPK/Akt/ERK1/2 signal pathways is required for the protein stabilization of CDC6 and cyclin D1 in low‐dose arsenite‐induced cell proliferation. Journal of Cellular Biochemistry. 111(6). 1546–1555. 42 indexed citations

16.

Sullivan, Con, Cong Peng, Yaoyu Chen, Dongguang Li, & Shaoguang Li. (2010). Targeted therapy of chronic myeloid leukemia. Biochemical Pharmacology. 80(5). 584–591. 24 indexed citations

17.

Sullivan, Con, Jeremy R. Charette, Julian Catchen, et al.. (2009). The Gene History of Zebrafish tlr4a and tlr4b Is Predictive of Their Divergent Functions. The Journal of Immunology. 183(9). 5896–5908. 131 indexed citations

18.

Sullivan, Con & Carol H. Kim. (2008). Zebrafish as a model for infectious disease and immune function. Fish & Shellfish Immunology. 25(4). 341–350. 242 indexed citations

19.

Sullivan, Con, John H. Postlethwait, Christopher Lage, Paul J. Millard, & Carol H. Kim. (2007). Evidence for Evolving Toll-IL-1 Receptor-Containing Adaptor Molecule Function in Vertebrates. The Journal of Immunology. 178(7). 4517–4527. 80 indexed citations

20.

Sullivan, Con. (2006). Toll-Like Receptor Signaling in the Zebrafish, Danio rerio: Evidence of Evolving Function. Acta Crystallographica Section E Structure Reports Online. 68(Pt 10). o2959–60. 1 indexed citations

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.

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