Michael S. Campbell

6.5k total citations · 1 hit paper
28 papers, 2.0k citations indexed

About

Michael S. Campbell is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Michael S. Campbell has authored 28 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Cell Biology and 8 papers in Plant Science. Recurrent topics in Michael S. Campbell's work include Microtubule and mitosis dynamics (7 papers), Genomics and Phylogenetic Studies (7 papers) and Chromosomal and Genetic Variations (5 papers). Michael S. Campbell is often cited by papers focused on Microtubule and mitosis dynamics (7 papers), Genomics and Phylogenetic Studies (7 papers) and Chromosomal and Genetic Variations (5 papers). Michael S. Campbell collaborates with scholars based in United States, Poland and Denmark. Michael S. Campbell's co-authors include Mark Yandell, Carson Holt, Barry Moore, Gary J. Gorbsky, Gordon K. Chan, Tim J. Yen, Lisa M. Abegglen, Dennis Schmitt, Carlo C. Maley and Joshua D. Schiffman and has published in prestigious journals such as Science, JAMA and The Journal of Cell Biology.

In The Last Decade

Michael S. Campbell

28 papers receiving 2.0k citations

Hit Papers

Genome Annotation and Curation Using MAKER and MAKER‐P 2014 2026 2018 2022 2014 100 200 300 400

Peers

Michael S. Campbell
Michael S. Campbell
Citations per year, relative to Michael S. Campbell Michael S. Campbell (= 1×) peers Asako Sugimoto

Countries citing papers authored by Michael S. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael S. Campbell. 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 Michael S. Campbell. The network helps show where Michael S. Campbell may publish in the future.

Co-authorship network of co-authors of Michael S. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Campbell. A scholar is included among the top collaborators of Michael S. Campbell 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 Michael S. Campbell. Michael S. Campbell 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
1.
Holt, Carson, Michael S. Campbell, David A. Keays, et al.. (2018). Improved Genome Assembly and Annotation for the Rock Pigeon ( Columba livia ). G3 Genes Genomes Genetics. 8(5). 1391–1398. 46 indexed citations
2.
Liu, Ming‐Jung, Koichi Sugimoto, Sahra Uygun, et al.. (2018). Regulatory Divergence in Wound-Responsive Gene Expression between Domesticated and Wild Tomato. The Plant Cell. 30(7). 1445–1460. 21 indexed citations
3.
Majoros, William H., Carson Holt, Michael S. Campbell, et al.. (2018). Predicting gene structure changes resulting from genetic variants via exon definition features. Bioinformatics. 34(21). 3616–3623. 5 indexed citations
4.
Florell, Scott R., Pamela B. Cassidy, Andrea D. Chirife, et al.. (2017). Cellular and ultrastructural characterization of the grey-morph phenotype in southern right whales (Eubalaena australis). PLoS ONE. 12(2). e0171449–e0171449. 5 indexed citations
5.
Campbell, Michael S., Kelly F. Oakeson, Mark Yandell, James R. Halpert, & M. Denise Dearing. (2016). The draft genome sequence and annotation of the desert woodrat Neotoma lepida. Genomics Data. 9. 58–59. 8 indexed citations
6.
Majoros, William H., Michael S. Campbell, Carson Holt, et al.. (2016). High-throughput interpretation of gene structure changes in human and nonhuman resequencing data, using ACE. Bioinformatics. 33(10). 1437–1446. 2 indexed citations
7.
Abegglen, Lisa M., Aleah F. Caulin, Ashley Chan, et al.. (2015). Potential Mechanisms for Cancer Resistance in Elephants and Comparative Cellular Response to DNA Damage in Humans. JAMA. 314(17). 1850–1850. 298 indexed citations
8.
Childs, Kevin L., Michael S. Campbell, Joshua C. Stein, et al.. (2014). Automated Update, Revision, and Quality Control of the Maize Genome Annotations Using MAKER-P Improves the B73 RefGen_v3 Gene Models and Identifies New Genes . PLANT PHYSIOLOGY. 167(1). 25–39. 29 indexed citations
9.
Yu, Baifeng, Yan Wang, Mar Janna Dahl, et al.. (2014). Maternal tobacco smoke increased visceral adiposity and serum corticosterone levels in adult male rat offspring. Pediatric Research. 76(1). 17–23. 9 indexed citations
10.
Campbell, Michael S., et al.. (2014). Intrauterine Growth Restriction Increases TNFαand Activates the Unfolded Protein Response in Male Rat Pups. Journal of Obesity. 2014. 1–9. 26 indexed citations
11.
Flygare, Steven, et al.. (2013). ImagePlane: An Automated Image Analysis Pipeline for High-Throughput Screens Using the Planarian Schmidtea mediterranea. Journal of Computational Biology. 20(8). 583–592. 1 indexed citations
12.
Campbell, Michael S., Carson Holt, Joshua C. Stein, et al.. (2013). MAKER-P: A Tool Kit for the Rapid Creation, Management, and Quality Control of Plant Genome Annotations  . PLANT PHYSIOLOGY. 164(2). 513–524. 271 indexed citations
13.
Shapiro, Michael D., Zev Kronenberg, Cai Li, et al.. (2013). Genomic Diversity and Evolution of the Head Crest in the Rock Pigeon. Science. 339(6123). 1063–1067. 192 indexed citations
14.
Joss‐Moore, Lisa A., Yan Wang, Michael S. Campbell, et al.. (2010). Uteroplacental insufficiency increases visceral adiposity and visceral adipose PPARγ2 expression in male rat offspring prior to the onset of obesity. Early Human Development. 86(3). 179–185. 54 indexed citations
15.
Topper, Leana M., Michael S. Campbell, Stuart Tugendreich, et al.. (2002). The Dephosphorylated Form of the Anaphase-Promoting Complex Protein Cdc27/Apc3 Concentrates on Kinetochores and Chromosome Arms in Mitosis. Cell Cycle. 1(4). 287–297. 44 indexed citations
16.
Campbell, Michael S., John R. Daum, Michael Gersch, R. Bruce Nicklas, & Gary J. Gorbsky. (2000). Kinetochore ?memory? of spindle checkpoint signaling in lysed mitotic cells. Cell Motility and the Cytoskeleton. 46(2). 146–156. 6 indexed citations
17.
Nicklas, R. Bruce, Michael S. Campbell, Suzanne C. Ward, & Gary J. Gorbsky. (1998). Tension-sensitive kinetochore phosphorylation in vitro. Journal of Cell Science. 111(21). 3189–3196. 47 indexed citations
18.
Renzi, L., Michael Gersch, Michael S. Campbell, et al.. (1997). MPM-2 antibody-reactive phosphorylations can be created in detergentextracted cells by kinetochore-bound and soluble kinases. Journal of Cell Science. 110(17). 2013–2025. 35 indexed citations
19.
Campbell, Michael S., et al.. (1995). Cell-Cycle-Regulated Localization of Tyrosine and Threonine Phosphoepitopes at the Kinetochores of Mitotic Chromosomes. Experimental Cell Research. 221(1). 249–260. 21 indexed citations
20.
Campbell, Michael S. & Gary J. Gorbsky. (1995). Microinjection of mitotic cells with the 3F3/2 anti-phosphoepitope antibody delays the onset of anaphase.. The Journal of Cell Biology. 129(5). 1195–1204. 112 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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