Mark Band

2.8k total citations
49 papers, 1.6k citations indexed

About

Mark Band is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Mark Band has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Genetics and 9 papers in Cancer Research. Recurrent topics in Mark Band's work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Genetic and phenotypic traits in livestock (11 papers) and Mitochondrial Function and Pathology (9 papers). Mark Band is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (11 papers), Genetic and phenotypic traits in livestock (11 papers) and Mitochondrial Function and Pathology (9 papers). Mark Band collaborates with scholars based in United States, Israel and Germany. Mark Band's co-authors include M. Ron, Aaron Avivi, J.I. Weller, Jenny Drnevich, Harris A. Lewin, Assaf Malik, Alma Joel, Yong Zhao, Yejing Ge and E. Feldmesser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Mark Band

48 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Band United States 22 651 628 274 235 190 49 1.6k
Dag Inge Våge Norway 29 668 1.0× 1.1k 1.7× 189 0.7× 151 0.6× 108 0.6× 70 3.0k
Takao NAMIKAWA Japan 25 583 0.9× 933 1.5× 373 1.4× 73 0.3× 236 1.2× 120 1.9k
D. Zadworny Canada 25 544 0.8× 966 1.5× 162 0.6× 123 0.5× 164 0.9× 87 1.9k
Eyal Seroussi Israel 27 911 1.4× 1.5k 2.3× 387 1.4× 290 1.2× 91 0.5× 104 2.8k
Michael S. Campbell United States 20 1.2k 1.9× 449 0.7× 549 2.0× 131 0.6× 154 0.8× 28 2.0k
Magali SanCristobal France 21 594 0.9× 1.3k 2.1× 275 1.0× 170 0.7× 103 0.5× 33 2.0k
Dany Séverac France 26 1.3k 2.0× 670 1.1× 574 2.1× 182 0.8× 193 1.0× 65 2.3k
Jorge Zamora Spain 14 738 1.1× 479 0.8× 185 0.7× 160 0.7× 86 0.5× 31 1.6k
Emeric Dubois France 21 734 1.1× 261 0.4× 250 0.9× 171 0.7× 87 0.5× 46 1.4k

Countries citing papers authored by Mark Band

Since Specialization
Citations

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

Fields of papers citing papers by Mark Band

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Band. 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 Mark Band. The network helps show where Mark Band may publish in the future.

Co-authorship network of co-authors of Mark Band

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Band. A scholar is included among the top collaborators of Mark Band 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 Mark Band. Mark Band 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.
Holmes, Jessica R., et al.. (2024). Microbial populations vary between the upper and lower respiratory tract, but not within biogeographic regions of the lung of healthy horses. Journal of Equine Veterinary Science. 140. 105141–105141.
2.
Shpigler, Hagai Y., Brian R. Herb, Jenny Drnevich, et al.. (2020). Juvenile hormone regulates brain-reproduction tradeoff in bumble bees but not in honey bees. Hormones and Behavior. 126. 104844–104844. 18 indexed citations
3.
Band, Mark, et al.. (2017). Capture effort, rate, demographics, and potential of disease transmission in wild eastern box turtles (Terrapene carolina carolina) captured through canine directed searches. Herpetological review. 48(2). 10 indexed citations
4.
5.
Li, Yanzhen, Jenny Drnevich, Mark Band, et al.. (2013). Gene expression profiling reveals the heterogeneous transcriptional activity of Oct3/4 and its possible interaction with Gli2 in mouse embryonic stem cells. Genomics. 102(5-6). 456–467. 7 indexed citations
6.
Avivi, Aaron, Eviatar Nevo, Keren Cohen, et al.. (2013). They live in the land down under: thyroid function and basal metabolic rate in theBlind Mole Rat, Spalax. Endocrine Research. 39(2). 80–85. 7 indexed citations
7.
Shams, Imad, Assaf Malik, Irena Manov, et al.. (2013). Transcription Pattern of p53-Targeted DNA Repair Genes in the Hypoxia-Tolerant Subterranean Mole Rat Spalax. Journal of Molecular Biology. 425(7). 1111–1118. 25 indexed citations
8.
Schülke, Stefan, Daniel Dreidax, Assaf Malik, et al.. (2012). Living with stress: Regulation of antioxidant defense genes in the subterranean, hypoxia-tolerant mole rat, Spalax. Gene. 500(2). 199–206. 64 indexed citations
9.
Band, Mark, Assaf Malik, Alma Joel, & Aaron Avivi. (2012). Hypoxia associated NMDA receptor 2 subunit composition: developmental comparison between the hypoxia-tolerant subterranean mole-rat, Spalax, and the hypoxia-sensitive rat. Journal of Comparative Physiology B. 182(7). 961–969. 3 indexed citations
10.
Moskovitz, Jackob, Assaf Malik, Alvaro G. Hernandez, Mark Band, & Aaron Avivi. (2011). Methionine sulfoxide reductases and methionine sulfoxide in the subterranean mole rat (Spalax): Characterization of expression under various oxygen conditions. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 161(4). 406–414. 8 indexed citations
11.
Malik, Assaf, Abraham Korol, Sariel Hübner, et al.. (2011). Transcriptome Sequencing of the Blind Subterranean Mole Rat, Spalax galili: Utility and Potential for the Discovery of Novel Evolutionary Patterns. PLoS ONE. 6(8). e21227–e21227. 29 indexed citations
12.
Sanogo, Yibayiri O., et al.. (2011). Brain Transcriptomic Response of Threespine Sticklebacks to Cues of a Predator. Brain Behavior and Evolution. 77(4). 270–285. 51 indexed citations
13.
Sun, Yuting, Yejing Ge, Jenny Drnevich, et al.. (2010). Mammalian target of rapamycin regulates miRNA-1 and follistatin in skeletal myogenesis. The Journal of Cell Biology. 189(7). 1157–1169. 164 indexed citations
14.
Band, Mark, Alma Joel, & Aaron Avivi. (2009). The Muscle Ankyrin Repeat Proteins Are Hypoxia-Sensitive: In Vivo mRNA Expression in the Hypoxia-Tolerant Blind Subterranean Mole Rat, Spalax ehrenbergi. Journal of Molecular Evolution. 70(1). 1–12. 7 indexed citations
15.
Wang, Huixia, Xuming He, Mark Band, Carole L. Wilson, & Lei Liu. (2005). A study of inter-lab and inter-platform agreement of DNA microarray data. BMC Genomics. 6(1). 71–71. 43 indexed citations
16.
Band, Mark, Joshua H. Larson, James E. Womack, & Harris A. Lewin. (1998). A Radiation Hybrid Map of BTA23: Identification of a Chromosomal Rearrangement Leading to Separation of the Cattle MHC Class II Subregions. Genomics. 53(3). 269–275. 50 indexed citations
17.
Band, Mark & M. Ron. (1998). Determination of allele frequency from DNA pools using bovine trinucleotide microsatellites. Animal Biotechnology. 9(1). 35–45. 3 indexed citations
18.
Band, Mark & M. Ron. (1996). Creation of a SINE enriched library for the isolation of polymorphic (AGC)n microsatellite markers in the bovine genome. Animal Genetics. 27(4). 243–248. 12 indexed citations
19.
Band, Mark & M. Ron. (1994). Isolation of polymorphic AGC repeats located 3‘ to bovine SINEs. Animal Genetics. 25(4). 281–283. 9 indexed citations
20.
Ron, M., Mark Band, Anat Yanai, & J.I. Weller. (1994). Mapping quantitative trait loci with DNA microsatellites in a commercial dairy cattle population. Animal Genetics. 25(4). 259–264. 31 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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