Kevin F. Sullivan

13.7k total citations · 2 hit papers
100 papers, 9.8k citations indexed

About

Kevin F. Sullivan is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Kevin F. Sullivan has authored 100 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 30 papers in Cell Biology and 25 papers in Plant Science. Recurrent topics in Kevin F. Sullivan's work include Microtubule and mitosis dynamics (26 papers), Chromosomal and Genetic Variations (23 papers) and Genomics and Chromatin Dynamics (22 papers). Kevin F. Sullivan is often cited by papers focused on Microtubule and mitosis dynamics (26 papers), Chromosomal and Genetic Variations (23 papers) and Genomics and Chromatin Dynamics (22 papers). Kevin F. Sullivan collaborates with scholars based in United States, Ireland and United Kingdom. Kevin F. Sullivan's co-authors include Don W. Cleveland, Richard D. Shelby, Eng M. Tan, Yinghui Mao, Geoffrey M. Wahl, Teru Kanda, Omid Vafa, Edward K. L. Chan, Keith J. Griffin and Michael P. Manns and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Kevin F. Sullivan

97 papers receiving 9.6k citations

Hit Papers

Centromeres and Kinetochores 1998 2026 2007 2016 2003 1998 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin F. Sullivan United States 46 6.1k 3.1k 2.6k 1.0k 922 100 9.8k
Alan Tunnacliffe United Kingdom 48 5.1k 0.8× 876 0.3× 2.8k 1.1× 2.2k 2.1× 1.2k 1.3× 122 11.3k
John R. Pringle United States 77 23.1k 3.8× 9.5k 3.0× 3.7k 1.4× 1.2k 1.2× 717 0.8× 150 27.2k
Paul Russell United States 87 20.7k 3.4× 8.3k 2.7× 2.4k 0.9× 1.5k 1.4× 456 0.5× 365 25.8k
Paul Anderson United States 69 16.4k 2.7× 1.9k 0.6× 680 0.3× 671 0.6× 1.1k 1.2× 137 21.3k
C. J. Marshall United Kingdom 46 9.0k 1.5× 1.7k 0.5× 470 0.2× 1.2k 1.2× 317 0.3× 124 12.8k
Frank H. Ruddle United States 63 8.9k 1.5× 734 0.2× 1.2k 0.4× 4.2k 4.0× 492 0.5× 267 12.4k
Julian Gough United Kingdom 37 7.3k 1.2× 832 0.3× 799 0.3× 1.5k 1.5× 293 0.3× 73 9.4k
Adrian Salic United States 33 9.0k 1.5× 1.7k 0.5× 416 0.2× 1.7k 1.7× 407 0.4× 47 11.8k
Philipp Bücher Switzerland 44 7.2k 1.2× 795 0.3× 1.2k 0.4× 1.5k 1.5× 345 0.4× 105 9.6k
Mark H. Skolnick United States 47 6.5k 1.1× 915 0.3× 2.9k 1.1× 6.4k 6.2× 725 0.8× 141 17.3k

Countries citing papers authored by Kevin F. Sullivan

Since Specialization
Citations

This map shows the geographic impact of Kevin F. 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 Kevin F. Sullivan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin F. Sullivan more than expected).

Fields of papers citing papers by Kevin F. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin F. 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 Kevin F. Sullivan. The network helps show where Kevin F. Sullivan may publish in the future.

Co-authorship network of co-authors of Kevin F. Sullivan

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

All Works

20 of 20 papers shown
2.
Wanninkhof, Rik, Denis Pierrot, Kevin F. Sullivan, Leticia Barbero, & Joaquín Triñanes. (2020). A 17-year dataset of surface water fugacity of CO 2 along with calculated pH, aragonite saturation state and air–sea CO 2 fluxes in the northern Caribbean Sea. Earth system science data. 12(3). 1489–1509. 4 indexed citations
3.
Prendergast, Lisa, Sebastian Müller, Yiwei Liu, et al.. (2016). The CENP-T/-W complex is a binding partner of the histone chaperone FACT. Genes & Development. 30(11). 1313–1326. 43 indexed citations
4.
Sullivan, Kevin F., et al.. (2014). CENP-W Plays a Role in Maintaining Bipolar Spindle Structure. PLoS ONE. 9(10). e106464–e106464. 7 indexed citations
5.
Sullivan, Kevin F., et al.. (2014). Using a real-time operating system for multitasking in Remote Patient Monitoring. 1–5. 11 indexed citations
6.
Sullivan, Kevin F.. (2006). In War-Torn Congo, Going Wireless to Reach Home. 4 indexed citations
7.
Wanninkhof, Rik, Kevin F. Sullivan, & Zafer Top. (2004). Air‐sea gas transfer in the Southern Ocean. Journal of Geophysical Research Atmospheres. 109(C8). 60 indexed citations
8.
Scholtz, Jean, et al.. (2003). The Common Industry Format: A Way for Vendors and Customers to Talk About Software Usability. 4 indexed citations
9.
Cleveland, Don W., Yinghui Mao, & Kevin F. Sullivan. (2003). Centromeres and Kinetochores. Cell. 112(4). 407–421. 819 indexed citations breakdown →
10.
Wang, Lin, William A. Rudert, Anatoly Grishin, et al.. (2002). Identification and genetic analysis of human and mouse activated Cdc42 interacting protein-4 isoforms. Biochemical and Biophysical Research Communications. 293(5). 1426–1430. 13 indexed citations
11.
Yao, Xuebiao, Ariane Abrieu, Yun Zheng, Kevin F. Sullivan, & Don W. Cleveland. (2000). CENP-E forms a link between attachment of spindle microtubules to kinetochores and the mitotic checkpoint. Nature Cell Biology. 2(8). 484–491. 311 indexed citations
12.
Rhein, Monika, et al.. (1999). Pollutants from the Gulf War serve as water mass tracer in the Arabian Sea. Geophysical Research Letters. 26(1). 71–74. 5 indexed citations
13.
Kanda, Teru, Kevin F. Sullivan, & Geoffrey M. Wahl. (1998). Histone–GFP fusion protein enables sensitive analysis of chromosome dynamics in living mammalian cells. Current Biology. 8(7). 377–385. 812 indexed citations breakdown →
14.
Martı́nez, Antı́gona, Dongxu Sun, Peter B. Billings, et al.. (1998). Isolation and Comparison of Natural and Recombinant Human CENP-A Autoantigen. Journal of Autoimmunity. 11(6). 611–619. 6 indexed citations
15.
Vafa, Omid & Kevin F. Sullivan. (1997). Chromatin containing CENP-A and α-satellite DNA is a major component of the inner kinetochore plate. Current Biology. 7(11). 897–900. 137 indexed citations
16.
Sage, Carleton R., et al.. (1995). β‐Tubulin mutation suppresses microtubule dynamics in vitro and slows mitosis in vivo. Cell Motility and the Cytoskeleton. 30(4). 285–300. 20 indexed citations
17.
Manns, Michael P., Eric F. Johnson, Keith J. Griffin, Eng M. Tan, & Kevin F. Sullivan. (1989). Major antigen of liver kidney microsomal autoantibodies in idiopathic autoimmune hepatitis is cytochrome P450db1.. Journal of Clinical Investigation. 83(3). 1066–1072. 275 indexed citations
18.
Ben‐Chetrit, Eldad, Edward K. L. Chan, Kevin F. Sullivan, & Eng M. Tan. (1988). A 52-kD protein is a novel component of the SS-A/Ro antigenic particle.. The Journal of Experimental Medicine. 167(5). 1560–1571. 319 indexed citations
19.
Penning, C A, Hisashi Yamanaka, Dennis A. Carson, et al.. (1987). The effect of in vitro neuropeptides np on systemic lupus erythematosus sle lymphocytic mitogen responses and natural killer nk activity. Clinical research. 35(3). 566. 1 indexed citations
20.
Sullivan, Kevin F. & Leslie Wilson. (1984). Developmental and Biochemical Analysis of Chick Brain Tubulin Heterogeneity. Journal of Neurochemistry. 42(5). 1363–1371. 25 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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