Mark Howard

1.0k total citations
21 papers, 614 citations indexed

About

Mark Howard is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Mark Howard has authored 21 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Genetics. Recurrent topics in Mark Howard's work include Complement system in diseases (5 papers), Genetic Syndromes and Imprinting (4 papers) and Epigenetics and DNA Methylation (4 papers). Mark Howard is often cited by papers focused on Complement system in diseases (5 papers), Genetic Syndromes and Imprinting (4 papers) and Epigenetics and DNA Methylation (4 papers). Mark Howard collaborates with scholars based in United Kingdom, United States and Germany. Mark Howard's co-authors include Steven H. Sacks, Conrad A. Farrar, Gavin J. Swanson, Julian Lewis, Russell Wallis, Giorgia Fanelli, Marika Charalambous, Roseanna Greenlaw, Linda S. Klavinskis and Anastasia Polycarpou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Development.

In The Last Decade

Mark Howard

21 papers receiving 597 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 Howard United Kingdom 12 211 126 92 90 85 21 614
Nobutsune Ishikawa Japan 15 143 0.7× 135 1.1× 148 1.6× 70 0.8× 43 0.5× 52 638
Juan Salvatierra Spain 14 268 1.3× 94 0.7× 98 1.1× 61 0.7× 99 1.2× 42 735
Ke‐ita Tatsumi Japan 14 264 1.3× 111 0.9× 187 2.0× 28 0.3× 24 0.3× 26 932
Pierre Labauge France 17 188 0.9× 143 1.1× 33 0.4× 65 0.7× 453 5.3× 59 1.7k
Louise Wienholt Australia 12 173 0.8× 185 1.5× 62 0.7× 64 0.7× 109 1.3× 36 901
Agnieszka Pollak Poland 19 588 2.8× 62 0.5× 202 2.2× 73 0.8× 31 0.4× 83 1.2k
Kavitha Kothur Australia 13 167 0.8× 158 1.3× 107 1.2× 70 0.8× 144 1.7× 33 873
Allison Soung United States 11 232 1.1× 195 1.5× 28 0.3× 69 0.8× 247 2.9× 16 1.0k
Nataliya Di Donato Germany 18 463 2.2× 49 0.4× 371 4.0× 54 0.6× 40 0.5× 61 914
Guillermo Quinonez Canada 9 199 0.9× 238 1.9× 45 0.5× 223 2.5× 28 0.3× 22 797

Countries citing papers authored by Mark Howard

Since Specialization
Citations

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

Fields of papers citing papers by Mark Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Howard

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Howard. A scholar is included among the top collaborators of Mark Howard 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 Howard. Mark Howard 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.
Scagliotti, Valeria, Thea L. Willis, Mark Howard, et al.. (2023). Imprinted Dlk1 dosage as a size determinant of the mammalian pituitary gland. eLife. 12. 2 indexed citations
2.
Howard, Mark, Nicholas A. Trasolini, & Brian R. Waterman. (2023). Optimizing Outcomes After Reverse Total Shoulder Arthroplasty: Rehabilitation, Expected Outcomes, and Maximizing Return to Activities. Current Reviews in Musculoskeletal Medicine. 16(4). 145–153. 12 indexed citations
3.
Scagliotti, Valeria, Ruben Esse, Thea L. Willis, et al.. (2021). Dynamic Expression of Imprinted Genes in the Developing and Postnatal Pituitary Gland. Genes. 12(4). 509–509. 9 indexed citations
4.
Howard, Mark, et al.. (2021). Complement in ischaemia–reperfusion injury and transplantation. Seminars in Immunopathology. 43(6). 789–797. 24 indexed citations
5.
Polycarpou, Anastasia, Mark Howard, Conrad A. Farrar, et al.. (2020). Rationale for targeting complement in COVID‐19. EMBO Molecular Medicine. 12(8). e12642–e12642. 88 indexed citations
6.
Howard, Mark, et al.. (2020). Fucose as a new therapeutic target in renal transplantation. Pediatric Nephrology. 36(5). 1065–1073. 9 indexed citations
7.
Howard, Mark, et al.. (2019). l ‐Fucose prevention of renal ischaemia/reperfusion injury in Mice. The FASEB Journal. 34(1). 822–834. 24 indexed citations
8.
Howard, Mark, et al.. (2018). Collectin-11 (CL-11) Is a Major Sentinel at Epithelial Surfaces and Key Pattern Recognition Molecule in Complement-Mediated Ischaemic Injury. Frontiers in Immunology. 9. 2023–2023. 19 indexed citations
9.
Howard, Mark, Conrad A. Farrar, & Steven H. Sacks. (2017). Structural and functional diversity of collectins and ficolins and their relationship to disease. Seminars in Immunopathology. 40(1). 75–85. 39 indexed citations
10.
Dent, Claire L., Mark Howard, Ulla Sovio, et al.. (2016). Fetus-derived DLK1 is required for maternal metabolic adaptations to pregnancy and is associated with fetal growth restriction. Nature Genetics. 48(12). 1473–1480. 72 indexed citations
11.
Howard, Mark & Marika Charalambous. (2015). Molecular basis of imprinting disorders affecting chromosome 14: lessons from murine models. Reproduction. 149(5). R237–R249. 11 indexed citations
12.
Howard, Mark, Rocky S. Tuan, & Gillian A. Wallis. (2015). The function and interrelationship between GDF5 and ERG-010 during chondrogenesis in vitro. In Vitro Cellular & Developmental Biology - Animal. 52(2). 182–192. 3 indexed citations
13.
Sun, Qi, Robert Bukowski, Chris J. Myers, et al.. (2010). Computational Biology Service Unit: Cornell University Core Facility for Computational Biology. Journal of Biomolecular Techniques JBT. 21. 1 indexed citations
14.
Guindalini, Camila, Mark Howard, K. Haddley, et al.. (2006). A dopamine transporter gene functional variant associated with cocaine abuse in a Brazilian sample. Proceedings of the National Academy of Sciences. 103(12). 4552–4557. 132 indexed citations
15.
Kaye, Steve, et al.. (2005). No Observed Effect of GB Virus C Coinfection on Disease Progression in a Cohort of African Woman Infected with HIV-1 or HIV-2. Clinical Infectious Diseases. 40(6). 876–878. 22 indexed citations
16.
Howard, Mark, et al.. (1996). Individual Nuclei Differ in Their Sensitivity to the Cytoplasmic Inducers of DNA Synthesis: Implications for the Origin of Cell Cycle Variability. Experimental Cell Research. 229(2). 350–359. 9 indexed citations
17.
Swanson, Gavin J., Mark Howard, & Julian Lewis. (1990). Epithelial autonomy in the development of the inner ear of a bird embryo. Developmental Biology. 137(2). 243–257. 94 indexed citations
18.
19.
O’Garra, Anne, et al.. (1989). Constitutive production of lymphokines by cloned murine B-cell lymphomas--CH12 B lymphoma produces interleukin-4.. PubMed. 4(3). 149–58; discussion 158. 9 indexed citations
20.
Kamalati, Tahereh, et al.. (1989). Expression of markers of differentiation in a transformed human keratinocyte line induced by coculture with a fibroblast line. Experimental Cell Research. 185(2). 453–463. 12 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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