Michael J. Davis

7.7k total citations · 1 hit paper
131 papers, 5.9k citations indexed

About

Michael J. Davis is a scholar working on Plant Science, Molecular Biology and Epidemiology. According to data from OpenAlex, Michael J. Davis has authored 131 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Plant Science, 19 papers in Molecular Biology and 19 papers in Epidemiology. Recurrent topics in Michael J. Davis's work include Plant Pathogenic Bacteria Studies (33 papers), Phytoplasmas and Hemiptera pathogens (18 papers) and Plant Pathogens and Fungal Diseases (15 papers). Michael J. Davis is often cited by papers focused on Plant Pathogenic Bacteria Studies (33 papers), Phytoplasmas and Hemiptera pathogens (18 papers) and Plant Pathogens and Fungal Diseases (15 papers). Michael J. Davis collaborates with scholars based in United States, Australia and United Kingdom. Michael J. Davis's co-authors include Janice M. Hitchcock, Michael J. McInerney, John F. Stolz, Frank Caccavo, Derek R. Lovley, Debra J. Lonergan, William J. French, Norman W. Schaad, A. G. Gillaspie and Michal A. Olszewski and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael J. Davis

119 papers receiving 5.7k citations

Hit Papers

Geobacter sulfurreducens sp. nov., a hydrogen- and acetat... 1994 2026 2004 2015 1994 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael J. Davis United States 37 2.2k 1.1k 646 634 603 131 5.9k
Sharon E. Mitchell United States 51 7.5k 3.5× 3.0k 2.6× 286 0.4× 132 0.2× 369 0.6× 138 14.6k
Pan Li China 35 2.2k 1.0× 3.5k 3.0× 321 0.5× 38 0.1× 70 0.1× 276 7.0k
Takuya Shiraishi Japan 35 1.1k 0.5× 1.2k 1.0× 192 0.3× 34 0.1× 199 0.3× 211 4.0k
Jin‐Jun Wang China 45 2.7k 1.2× 4.3k 3.8× 458 0.7× 81 0.1× 358 0.6× 465 9.1k
Laurent Farinelli Switzerland 37 1.7k 0.8× 3.3k 2.9× 241 0.4× 43 0.1× 349 0.6× 71 5.8k
Yalin Zhang China 36 1.6k 0.7× 2.4k 2.1× 220 0.3× 119 0.2× 270 0.4× 525 6.4k
Christian Ramakers Netherlands 20 1.7k 0.8× 3.1k 2.7× 396 0.6× 21 0.0× 403 0.7× 56 6.6k
Tong Zhang China 43 2.9k 1.3× 5.5k 4.8× 378 0.6× 20 0.0× 277 0.5× 234 9.2k
David L. Williamson United States 38 967 0.4× 1.7k 1.4× 214 0.3× 94 0.1× 305 0.5× 115 4.3k
Matthew D. Young United States 26 2.1k 0.9× 4.6k 4.0× 949 1.5× 32 0.1× 289 0.5× 57 8.8k

Countries citing papers authored by Michael J. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Davis. A scholar is included among the top collaborators of Michael J. Davis 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 J. Davis. Michael J. Davis 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.
Chang, Yun C., Michael J. Davis, & Kyung J. Kwon‐Chung. (2024). Determination of Ploidy Levels and Nuclear DNA Content in Cryptococcus neoformans by Flow Cytometry: Drawbacks with Variability. Journal of Fungi. 10(4). 296–296.
2.
Tang, Yixin, Philip E. Lapinski, David K. Wiggins, et al.. (2024). EPHB4-RASA1 Inhibition of PIEZO1 Ras Activation Drives Lymphatic Valvulogenesis. Circulation Research. 135(11). 1048–1066. 7 indexed citations
3.
Park, Sarah Y., Martin Lindner, Kevin Brick, et al.. (2023). Detection of Mpox Virus Using Microbial Cell-Free DNA: The Potential of Pathogen-Agnostic Sequencing for Rapid Identification of Emerging Pathogens. The Journal of Infectious Diseases. 229(Supplement_2). S144–S155. 2 indexed citations
4.
Farrer, Rhys A., Michael J. Davis, Lucy van Dorp, et al.. (2019). A New Lineage of Cryptococcus gattii (VGV) Discovered in the Central Zambezian Miombo Woodlands. mBio. 10(6). 66 indexed citations
5.
Davis, Michael J., Catherine N. Tchanque‐Fossuo, Thomas R. Peavy, et al.. (2019). Absorption and Safety of Topically Applied Timolol for Treatment of Chronic Cutaneous Wounds. Advances in Wound Care. 8(11). 538–545. 14 indexed citations
6.
Merfa, Marcus V., Mukesh Jain, Michael J. Davis, et al.. (2019). Liberibacter crescens biofilm formation in vitro: establishment of a model system for pathogenic ‘Candidatus Liberibacter spp.’. Scientific Reports. 9(1). 5150–5150. 22 indexed citations
8.
Davis, Michael J., et al.. (2014). Evaluation of Fusarium Wilt Resistance in Six Upland Cotton Germplasm Lines. ˜The œjournal of cotton science/Journal of cotton science. 18(3). 430–434. 6 indexed citations
10.
Radtke, Andrea L., Kelsi L. Anderson, Michael J. Davis, et al.. (2011). Listeria monocytogenes exploits cystic fibrosis transmembrane conductance regulator (CFTR) to escape the phagosome. Proceedings of the National Academy of Sciences. 108(4). 1633–1638. 54 indexed citations
11.
Davis, Michael J., Randy J. Epstein, Richard F. Dennis, & Jack Cohen. (2009). Culture-positive endophthalmitis after implantation of intraocular Collamer lens. Journal of Cataract & Refractive Surgery. 35(10). 1826–1828. 13 indexed citations
12.
Larsen, Brian P., et al.. (2009). Combination Lucentis and Ocular Photodynamic Therapy With Visudyne, With Evaluation-Based Retreatments (CLOVER) Trial. Investigative Ophthalmology & Visual Science. 50(13). 1921–1921. 2 indexed citations
13.
14.
Ding, Cody, et al.. (1998). Pretraining amygdala lesions or pretraining infusion of an N-methyl-D-aspartate receptor antagonist disrupts both short- and long-term memory for fear conditioning assessed with fear-potentiated startle. The Society for Neuroscience Abstracts. 24. 926. 2 indexed citations
15.
Davis, Michael J., et al.. (1996). Local anesthetic safety in pediatric patients.. PubMed. 62(2). 32–5. 18 indexed citations
16.
Gewirtz, Jonathan C. & Michael J. Davis. (1995). Habituation of prepulse inhibition of the startle reflex using an auditory prepulse close to background noise.. Behavioral Neuroscience. 109(3). 388–395. 30 indexed citations
17.
Davis, Michael J., et al.. (1994). Worldwide genetic variation in Xanthomonas albilineans. Phytopathology. 2 indexed citations
18.
Davis, Michael J., et al.. (1987). Dna probes for detecting the maize bushy stunt mycoplasma like organism mbs mlo. Phytopathology. 77(12). 1769. 2 indexed citations
19.
Riordan, Daniel C., et al.. (1987). Wrist Arthroplasty: A Retrospective Study. Orthopedics. 10(2). 337–341. 5 indexed citations
20.
Davis, Michael J., Ralph Baker, & Joe J. Hanan. (1977). Clonal Multiplication of Carnation by Micropropagation1. Journal of the American Society for Horticultural Science. 102(1). 48–53. 19 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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