Michael W. Black

1.6k total citations
23 papers, 1.1k citations indexed

About

Michael W. Black is a scholar working on Ecology, Molecular Biology and Parasitology. According to data from OpenAlex, Michael W. Black has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 11 papers in Molecular Biology and 6 papers in Parasitology. Recurrent topics in Michael W. Black's work include Bacteriophages and microbial interactions (9 papers), Toxoplasma gondii Research Studies (6 papers) and Microbial Community Ecology and Physiology (4 papers). Michael W. Black is often cited by papers focused on Bacteriophages and microbial interactions (9 papers), Toxoplasma gondii Research Studies (6 papers) and Microbial Community Ecology and Physiology (4 papers). Michael W. Black collaborates with scholars based in United States, United Kingdom and Germany. Michael W. Black's co-authors include John C. Boothroyd, Hugh R.B. Pelham, Gustavo Arrizabalaga, Fulvio Reggiori, Michael W. Ware, Eric N. Villegas, Kami Kim, Dominique Soldati‐Favre, Frank Seeber and Adrian B. Hehl and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Molecular and Cellular Biology.

In The Last Decade

Michael W. Black

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael W. Black United States 11 721 432 360 232 109 23 1.1k
Markus Meissner Germany 15 606 0.8× 404 0.9× 339 0.9× 110 0.5× 69 0.6× 25 956
María E. Francia Uruguay 16 549 0.8× 327 0.8× 394 1.1× 304 1.3× 46 0.4× 35 1000
Karine Frénal Switzerland 16 713 1.0× 423 1.0× 236 0.7× 95 0.4× 88 0.8× 21 1.0k
Gustavo Arrizabalaga United States 22 1.2k 1.7× 802 1.9× 378 1.1× 100 0.4× 95 0.9× 52 1.5k
Con J. Beckers United States 19 1.1k 1.6× 723 1.7× 583 1.6× 360 1.6× 129 1.2× 23 1.8k
Diego Huet United States 8 501 0.7× 434 1.0× 393 1.1× 82 0.4× 33 0.3× 12 878
Mathieu Gissot France 18 532 0.7× 324 0.8× 369 1.0× 33 0.1× 97 0.9× 40 954
Valérie Polonais France 16 637 0.9× 209 0.5× 239 0.7× 38 0.2× 41 0.4× 23 862
Margaret M. Lehmann United States 8 345 0.5× 291 0.7× 170 0.5× 42 0.2× 27 0.2× 9 716
Sandra K. Halonen United States 16 1.0k 1.4× 714 1.7× 225 0.6× 22 0.1× 115 1.1× 27 1.2k

Countries citing papers authored by Michael W. Black

Since Specialization
Citations

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

Fields of papers citing papers by Michael W. Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael W. Black

This figure shows the co-authorship network connecting the top 25 collaborators of Michael W. Black. A scholar is included among the top collaborators of Michael W. Black 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 W. Black. Michael W. Black 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.
Oza, Javin P., et al.. (2022). Characterizing and Improving pET Vectors for Cell-free Expression. Frontiers in Bioengineering and Biotechnology. 10. 895069–895069. 9 indexed citations
2.
Black, Michael W., et al.. (2019). Mutagenesis of Vibrio fischeri and Other Marine Bacteria Using Hyperactive Mini-Tn5 Derivatives. Methods in molecular biology. 2016. 87–104. 7 indexed citations
3.
Guldin, James M. & Michael W. Black. (2018). Restoration of shortleaf pine in the southern United States--strategies and tactics. 2018. 281–287. 4 indexed citations
4.
Mitchell, Ryan, et al.. (2015). Short communication: Typing and tracking Bacillaceae in raw milk and milk powder using pyroprinting. Journal of Dairy Science. 99(1). 146–151. 12 indexed citations
5.
6.
Black, Michael W., et al.. (2014). Pyroprinting: A rapid and flexible genotypic fingerprinting method for typing bacterial strains. Journal of Microbiological Methods. 105. 121–129. 4 indexed citations
7.
Alvarado, María, et al.. (2014). Pyroprinting: novel pyrosequencing‐based method for studying E. coli diversity and microbial source tracking (779.8). The FASEB Journal. 28(S1). 1 indexed citations
8.
Dekhtyar, Alex, et al.. (2012). Microbial source tracking by molecular fingerprinting. 617–619. 1 indexed citations
9.
Brandt, Douglas R., et al.. (2012). Pyroprinting sensitivity analysis on the GPU. DigitalCommons - CalPoly (California State Polytechnic University). 93. 951–953. 2 indexed citations
10.
Black, Michael W., et al.. (2011). Chronology-Sensitive Hierarchical Clustering of Pyrosequenced DNA Samples of E. coli: A Case Study. 70. 155–159. 2 indexed citations
11.
Shaw, Christopher E., Craig A. Harper, Michael W. Black, & Allan E. Houston. (2010). Initial Effects of Prescribed Burning and Understory Fertilization on Browse Production in Closed-Canopy Hardwood Stands. Journal of Fish and Wildlife Management. 1(2). 64–72. 16 indexed citations
12.
Ware, Michael W., et al.. (2010). Uptake and transmission of Toxoplasma gondii oocysts by migratory, filter-feeding fish. Veterinary Parasitology. 169(3-4). 296–303. 93 indexed citations
13.
Kitts, Christopher L., et al.. (2010). Pismo Beach Fecal Contamination Source Identification Study: Final Report. DigitalCommons - CalPoly (California State Polytechnic University). 2 indexed citations
14.
Black, Michael W., et al.. (2008). Cloning yeast actin cDNA leads to an investigative approach for the molecular biology laboratory. Biochemistry and Molecular Biology Education. 36(3). 217–224. 3 indexed citations
15.
Black, Michael W. & Hugh R.B. Pelham. (2001). Membrane traffic: How do GGAs fit in with the adaptors?. Current Biology. 11(12). R460–R462. 11 indexed citations
16.
Black, Michael W., Gustavo Arrizabalaga, & John C. Boothroyd. (2000). Ionophore-Resistant Mutants of Toxoplasma gondii Reveal Host Cell Permeabilization as an Early Event in Egress. Molecular and Cellular Biology. 20(24). 9399–9408. 107 indexed citations
17.
Reggiori, Fulvio, Michael W. Black, & Hugh R.B. Pelham. (2000). Polar Transmembrane Domains Target Proteins to the Interior of the Yeast Vacuole. Molecular Biology of the Cell. 11(11). 3737–3749. 86 indexed citations
18.
Black, Michael W. & John C. Boothroyd. (2000). Lytic Cycle ofToxoplasma gondii. Microbiology and Molecular Biology Reviews. 64(3). 607–623. 379 indexed citations
19.
Black, Michael W. & John C. Boothroyd. (1998). Development of a Stable Episomal Shuttle Vector for Toxoplasma gondii. Journal of Biological Chemistry. 273(7). 3972–3979. 31 indexed citations
20.
Black, Michael W., Frank Seeber, Dominique Soldati‐Favre, Kami Kim, & John C. Boothroyd. (1995). Restriction enzyme-mediated integration elevates transformation frequency and enables co-transfection of Toxoplasma gondii. Molecular and Biochemical Parasitology. 74(1). 55–63. 79 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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