Michael J. Palumbo

1.7k total citations
20 papers, 1.2k citations indexed

About

Michael J. Palumbo is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Michael J. Palumbo has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Infectious Diseases. Recurrent topics in Michael J. Palumbo's work include RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (6 papers) and Genomics and Chromatin Dynamics (6 papers). Michael J. Palumbo is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (6 papers) and Genomics and Chromatin Dynamics (6 papers). Michael J. Palumbo collaborates with scholars based in United States, Canada and Sweden. Michael J. Palumbo's co-authors include Charles E. Lawrence, Wyeth W. Wasserman, William A. Thompson, James W. Fickett, Joseph T. Wade, Randall H. Morse, Jacquelyn S. Fetrow, Suraiya Anjum Ansari, Jun S. Liu and Keith M. Derbyshire and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Michael J. Palumbo

20 papers receiving 1.2k 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 J. Palumbo United States 13 975 276 168 144 124 20 1.2k
Jean Clement France 15 712 0.7× 506 1.8× 308 1.8× 104 0.7× 65 0.5× 30 1.1k
Daniel Dar Israel 15 797 0.8× 353 1.3× 264 1.6× 86 0.6× 62 0.5× 19 1.0k
Marie‐Françoise Noirot‐Gros France 21 882 0.9× 573 2.1× 233 1.4× 150 1.0× 41 0.3× 29 1.2k
Elizabeth A. Stohl United States 17 532 0.5× 359 1.3× 105 0.6× 83 0.6× 30 0.2× 20 900
Hattie Chung United States 6 624 0.6× 224 0.8× 123 0.7× 72 0.5× 36 0.3× 7 867
Gioacchino Micheli Italy 21 871 0.9× 466 1.7× 218 1.3× 155 1.1× 129 1.0× 33 1.4k
Pil Jung Kang United States 18 1.2k 1.3× 316 1.1× 72 0.4× 113 0.8× 72 0.6× 25 1.4k
M.J. Flores France 15 1.1k 1.1× 493 1.8× 64 0.4× 90 0.6× 239 1.9× 22 1.3k
María Antonia Sánchez-Romero Spain 15 570 0.6× 350 1.3× 257 1.5× 138 1.0× 122 1.0× 35 979
Alexander J. Meeske United States 15 957 1.0× 580 2.1× 451 2.7× 117 0.8× 44 0.4× 22 1.3k

Countries citing papers authored by Michael J. Palumbo

Since Specialization
Citations

This map shows the geographic impact of Michael J. Palumbo'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. Palumbo 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. Palumbo more than expected).

Fields of papers citing papers by Michael J. Palumbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Palumbo. A scholar is included among the top collaborators of Michael J. Palumbo 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. Palumbo. Michael J. Palumbo 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.
Smith, Carol, Anne M. Stringer, Chunhong Mao, Michael J. Palumbo, & Joseph T. Wade. (2016). Mapping the Regulatory Network for Salmonella enterica Serovar Typhimurium Invasion. mBio. 7(5). 41 indexed citations
2.
Tirosh, Itay, et al.. (2015). Chromatin Mediation of a Transcriptional Memory Effect in Yeast. G3 Genes Genomes Genetics. 5(5). 829–838. 8 indexed citations
3.
Taylor, Angela, Victoria Lappi, William J. Wolfgang, et al.. (2015). Characterization of Foodborne Outbreaks of Salmonella enterica Serovar Enteritidis with Whole-Genome Sequencing Single Nucleotide Polymorphism-Based Analysis for Surveillance and Outbreak Detection. Journal of Clinical Microbiology. 53(10). 3334–3340. 101 indexed citations
4.
Zink, Steven D., Greta Van Slyke, Michael J. Palumbo, Laura D. Kramer, & Alexander T. Ciota. (2015). Exposure to West Nile Virus Increases Bacterial Diversity and Immune Gene Expression in Culex pipiens. Viruses. 7(10). 5619–5631. 41 indexed citations
5.
Ansari, Suraiya Anjum, et al.. (2014). The RSC Complex Localizes to Coding Sequences to Regulate Pol II and Histone Occupancy. Molecular Cell. 56(5). 653–666. 39 indexed citations
6.
Liao, Rick, et al.. (2014). Genome-Wide Analyses in Bacteria Show Small-RNA Enrichment for Long and Conserved Intergenic Regions. Journal of Bacteriology. 197(1). 40–50. 41 indexed citations
7.
8.
Gray, Todd A., Michael J. Palumbo, & Keith M. Derbyshire. (2013). Draft Genome Sequence of MKD8, a Conjugal Recipient Mycobacterium smegmatis Strain. Genome Announcements. 1(2). e0014813–e0014813. 5 indexed citations
9.
Stringer, Anne M., Salvatore Currenti, Richard P. Bonocora, et al.. (2013). Genome-Scale Analyses of Escherichia coli and Salmonella enterica AraC Reveal Noncanonical Targets and an Expanded Core Regulon. Journal of Bacteriology. 196(3). 660–671. 51 indexed citations
10.
Palumbo, Michael J. & Lee A. Newberg. (2010). Phyloscan: locating transcription-regulating binding sites in mixed aligned and unaligned sequence data. Nucleic Acids Research. 38(Web Server). W268–W274. 6 indexed citations
11.
Ganapathi, Mythily, Michael J. Palumbo, Suraiya Anjum Ansari, et al.. (2010). Extensive role of the general regulatory factors, Abf1 and Rap1, in determining genome-wide chromatin structure in budding yeast. Nucleic Acids Research. 39(6). 2032–2044. 81 indexed citations
12.
13.
Palumbo, Michael J., et al.. (2010). Widespread Antisense Transcription in Escherichia coli. mBio. 1(1). 152 indexed citations
14.
Singh, Navjot, Zhuo Ma, Trent R. Gemmill, et al.. (2009). The Ess1 Prolyl Isomerase Is Required for Transcription Termination of Small Noncoding RNAs via the Nrd1 Pathway. Molecular Cell. 36(2). 255–266. 62 indexed citations
15.
Palumbo, Michael J., et al.. (2006). Contribution of the Histone H3 and H4 Amino Termini to Gcn4p- and Gcn5p-mediated Transcription in Yeast. Journal of Biological Chemistry. 281(14). 9755–9764. 12 indexed citations
16.
Thompson, William A., Michael J. Palumbo, Wyeth W. Wasserman, Jun S. Liu, & Charles E. Lawrence. (2004). Decoding Human Regulatory Circuits. Genome Research. 14(10a). 1967–1974. 73 indexed citations
17.
Samsó, Montserrat, Michael J. Palumbo, Michael Radermacher, Jun S. Liu, & Charles E. Lawrence. (2002). A Bayesian method for classification of images from electron micrographs. Journal of Structural Biology. 138(3). 157–170. 10 indexed citations
18.
Wasserman, Wyeth W., Michael J. Palumbo, William A. Thompson, James W. Fickett, & Charles E. Lawrence. (2000). Human-mouse genome comparisons to locate regulatory sites. Nature Genetics. 26(2). 225–228. 373 indexed citations
19.
Fetrow, Jacquelyn S., et al.. (1997). Patterns, structures, and amino acid frequencies in structural building blocks, a protein secondary structure classification scheme. Proteins Structure Function and Bioinformatics. 27(2). 249–271. 55 indexed citations
20.
Fetrow, Jacquelyn S., et al.. (1997). Patterns, structures, and amino acid frequencies in structural building blocks, a protein secondary structure classification scheme. Proteins Structure Function and Bioinformatics. 27(2). 249–271. 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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