Mark R. Band

2.2k total citations
24 papers, 1.7k citations indexed

About

Mark R. Band is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Mark R. Band has authored 24 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 14 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Mark R. Band's work include Genetic and phenotypic traits in livestock (8 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Animal Genetics and Reproduction (4 papers). Mark R. Band is often cited by papers focused on Genetic and phenotypic traits in livestock (8 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Animal Genetics and Reproduction (4 papers). Mark R. Band collaborates with scholars based in United States, Israel and Iran. Mark R. Band's co-authors include Harris A. Lewin, Gene E. Robinson, Juan J. Loor, Cheryl A. Green, Charu G. Kumar, Annelie Everts-van der Wind, Denis M. Larkin, James E. Womack, Joshua H. Larson and Lei Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Genome Research.

In The Last Decade

Mark R. Band

24 papers receiving 1.7k citations

Peers

Mark R. Band

GENET

EEBS

Stephanie McKay United States

Martijn F. L. Derks Netherlands

Alexandre Rodrigues Caetano Brazil

Zhuocheng Hou China

Addie Vereijken Netherlands

Kaj Sandberg Sweden

Rowan J. Bunch Australia

Rüdiger Bräuning New Zealand

Kevin Howe United Kingdom

Stephanie McKay United States

Mark R. Band

1.7k ×1.4

GENET

584 ×1.0

461 ×1.5

54 ×0.2

EEBS

99 ×0.5

Citations per year, relative to Mark R. Band Mark R. Band (= 1×) peers Stephanie McKay

Countries citing papers authored by Mark R. Band

Since Specialization

Citations

This map shows the geographic impact of Mark R. 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 R. 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 R. Band more than expected).

Fields of papers citing papers by Mark R. Band

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark R. Band

This figure shows the co-authorship network connecting the top 25 collaborators of Mark R. Band. A scholar is included among the top collaborators of Mark R. 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 R. Band. Mark R. Band is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Clark, Lindsay V., et al.. (2023). Differential DNA methylation associated with multiple sclerosis and disease modifying treatments in an underrepresented minority population. Frontiers in Genetics. 13. 1058817–1058817. 4 indexed citations

Shirak, Andrey, Hanna Rosenfeld, Mark R. Band, et al.. (2016). Identification of the sex‐determining region in flathead grey mullet (Mugil cephalus). Animal Genetics. 47(6). 698–707. 8 indexed citations

Woodard, S. Hollis, Guy Bloch, Mark R. Band, & Gene E. Robinson. (2013). Social regulation of maternal traits in nest-founding bumble bee (Bombus terrestris) queens. Journal of Experimental Biology. 216(18). 3474–3482. 30 indexed citations

Larkin, Denis M., Hans D. Daetwyler, Alvaro G. Hernandez, et al.. (2012). Whole-genome resequencing of two elite sires for the detection of haplotypes under selection in dairy cattle. Proceedings of the National Academy of Sciences. 109(20). 7693–7698. 67 indexed citations

Ron, M., et al.. (2010). Chimaerism detection in bovine twins, triplets and quadruplets using sex chromosome-linked markers. Animal Genetics. 42(2). 208–211. 9 indexed citations

Kumar, Charu G., Joshua H. Larson, Mark R. Band, & Harris A. Lewin. (2007). Discovery and characterization of 91 novel transcripts expressed in cattle placenta. BMC Genomics. 8(1). 113–113. 9 indexed citations

King, Dale E., Benjamin P. Willing, Mark R. Band, et al.. (2007). Transcriptome profiling of the small intestinal epithelium in germfree versus conventional piglets. BMC Genomics. 8(1). 215–215. 96 indexed citations

Itoh, Yuichiro, Esther Melamed, Xia Yang, et al.. (2007). Dosage compensation is less effective in birds than in mammals. Journal of Biology. 6(1). 2–2. 275 indexed citations

Golik, Marina, Miri Cohen, Juan J. Loor, et al.. (2006). Accelerated expansion of group IID-like phospholipase A2 genes in Bos taurus. Genomics. 87(4). 527–533. 10 indexed citations

10.

Larson, Joshua H., Charu G. Kumar, Robin E. Everts, et al.. (2006). Discovery of eight novel divergent homologs expressed in cattle placenta. Physiological Genomics. 25(3). 405–413. 29 indexed citations

11.

Everts, Robin E., Mark R. Band, Charu G. Kumar, et al.. (2005). A 7872 cDNA microarray and its use in bovine functional genomics. Veterinary Immunology and Immunopathology. 105(3-4). 235–245. 53 indexed citations

12.

Cheon, Yewon, et al.. (2005). Induction of overlapping genes by fasting and a peroxisome proliferator in pigs: evidence of functional PPARα in nonproliferating species. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 288(6). R1525–R1535. 66 indexed citations

13.

Cohen, Miri, Eyal Seroussi, Denis M. Larkin, et al.. (2005). Identification of a missense mutation in the bovine ABCG2 gene with a major effect on the QTL on chromosome 6 affecting milk yield and composition in Holstein cattle. Genome Research. 15(7). 936–944. 308 indexed citations

14.

Zhou, Qi, et al.. (2004). 27-Hydroxycholesterol inhibits neutral sphingomyelinase in cultured human endothelial cells. Life Sciences. 75(13). 1567–1577. 7 indexed citations

15.

Wind, Annelie Everts-van der, Srinivas R. Kata, Mark R. Band, et al.. (2004). A 1463 Gene Cattle–Human Comparative Map With Anchor Points Defined by Human Genome Sequence Coordinates. Genome Research. 14(7). 1424–1437. 110 indexed citations

16.

Whitfield, Charles W., Mark R. Band, Maria F. Bonaldo, et al.. (2002). Annotated Expressed Sequence Tags and cDNA Microarrays for Studies of Brain and Behavior in the Honey Bee. Genome Research. 12(4). 555–566. 225 indexed citations

17.

Band, Mark R., et al.. (2002). A 3800 GENE MICROARRAY FOR CATTLE FUNCTIONAL GENOMICS: COMPARISON OF GENE EXPRESSION IN SPLEEN, PLACENTA, AND BRAIN. Animal Biotechnology. 13(1). 163–172. 59 indexed citations

18.

Band, Mark R., Joshua H. Larson, Mark Rebeiz, et al.. (2000). An Ordered Comparative Map of the Cattle and Human Genomes. Genome Research. 10(9). 1359–1368. 242 indexed citations

19.

Ozawa, Akihito, Mark R. Band, Joshua H. Larson, et al.. (2000). Comparative organization of cattle chromosome 5 revealed by comparative mapping by annotation and sequence similarity and radiation hybrid mapping. Proceedings of the National Academy of Sciences. 97(8). 4150–4155. 30 indexed citations

20.

Ron, M., et al.. (1996). Amplification of the conserved cytochrome b locus as a versatile internal control for PCR analysis in animals.. SHILAP Revista de lepidopterología. 20(4). 604–8. 6 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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