Mark C. Hanks

3.0k total citations
18 papers, 2.5k citations indexed

About

Mark C. Hanks is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Mark C. Hanks has authored 18 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Genetics. Recurrent topics in Mark C. Hanks's work include Developmental Biology and Gene Regulation (5 papers), Congenital heart defects research (4 papers) and Genomics and Chromatin Dynamics (4 papers). Mark C. Hanks is often cited by papers focused on Developmental Biology and Gene Regulation (5 papers), Congenital heart defects research (4 papers) and Genomics and Chromatin Dynamics (4 papers). Mark C. Hanks collaborates with scholars based in United States, United Kingdom and Canada. Mark C. Hanks's co-authors include Richard R. Behringer, Yuji Mishina, Alexandra L. Joyner, Wolfgang Wurst, Lynn Anson‐Cartwright, Anna B. Auerbach, Soazik P. Jamin, Nelson A. Arango, Cynthia A. Loomis and Esther Harris and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Mark C. Hanks

18 papers receiving 2.4k 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 C. Hanks United States 15 1.9k 532 288 217 205 18 2.5k
Igor Kostetskii United States 19 1.3k 0.7× 554 1.0× 302 1.0× 202 0.9× 166 0.8× 25 1.9k
David E. Clouthier United States 31 2.5k 1.3× 1.2k 2.3× 339 1.2× 249 1.1× 142 0.7× 56 3.9k
Daniel Dufort Canada 27 2.5k 1.3× 656 1.2× 105 0.4× 335 1.5× 170 0.8× 49 3.6k
Cédric Le Caignec France 29 1.7k 0.9× 1.5k 2.8× 293 1.0× 94 0.4× 113 0.6× 76 3.1k
F. Dagna Bricarelli Italy 19 2.1k 1.1× 1.8k 3.4× 214 0.7× 223 1.0× 146 0.7× 51 4.4k
Cecilia W. Lo United States 36 3.3k 1.7× 723 1.4× 343 1.2× 57 0.3× 272 1.3× 67 3.9k
J. Murdoch United Kingdom 28 2.4k 1.3× 658 1.2× 93 0.3× 197 0.9× 287 1.4× 54 3.4k
David J. Goldhamer United States 32 2.6k 1.4× 630 1.2× 174 0.6× 64 0.3× 139 0.7× 57 3.6k
Mercé Martí Spain 14 1.7k 0.9× 230 0.4× 257 0.9× 158 0.7× 74 0.4× 25 2.1k
T Strachan United Kingdom 25 1.9k 1.0× 932 1.8× 147 0.5× 131 0.6× 148 0.7× 50 3.4k

Countries citing papers authored by Mark C. Hanks

Since Specialization
Citations

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

Fields of papers citing papers by Mark C. Hanks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark C. Hanks

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

All Works

18 of 18 papers shown
1.
Axton, Richard A, Julie Wallis, Helen R. Taylor, Mark C. Hanks, & Lesley M. Forrester. (2007). Aminopeptidase O contains a functional nucleolar localization signal and is implicated in vascular biology. Journal of Cellular Biochemistry. 103(4). 1171–1182. 7 indexed citations
2.
Gaussin, Vinciane, Gregory E. Morley, Luk Cox, et al.. (2005). Alk3/Bmpr1a Receptor Is Required for Development of the Atrioventricular Canal Into Valves and Annulus Fibrosus. Circulation Research. 97(3). 219–226. 111 indexed citations
3.
Mishina, Yuji, Michael W. Starbuck, Michael A. Gentile, et al.. (2004). Bone Morphogenetic Protein Type IA Receptor Signaling Regulates Postnatal Osteoblast Function and Bone Remodeling. Journal of Biological Chemistry. 279(26). 27560–27566. 156 indexed citations
4.
Jamin, Soazik P., Nelson A. Arango, Yuji Mishina, Mark C. Hanks, & Richard R. Behringer. (2003). Genetic studies of the AMH/MIS signaling pathway for Müllerian duct regression. Molecular and Cellular Endocrinology. 211(1-2). 15–19. 61 indexed citations
5.
Sanbe, Atsushi, James Gulick, Mark C. Hanks, et al.. (2003). Reengineering Inducible Cardiac-Specific Transgenesis With an Attenuated Myosin Heavy Chain Promoter. Circulation Research. 92(6). 609–616. 216 indexed citations
6.
Jamin, Soazik P., Nelson A. Arango, Yuji Mishina, Mark C. Hanks, & Richard R. Behringer. (2002). Requirement of Bmpr1a for Müllerian duct regression during male sexual development. Nature Genetics. 32(3). 408–410. 329 indexed citations
7.
Mishina, Yuji, Mark C. Hanks, Shigeto Miura, Michelle D. Tallquist, & Richard R. Behringer. (2002). Generation ofBmpr/Alk3conditional knockout mice. genesis. 32(2). 69–72. 232 indexed citations
8.
Gaussin, Vinciane, Tom Van de Putte, Yuji Mishina, et al.. (2002). Endocardial cushion and myocardial defects after cardiac myocyte-specific conditional deletion of the bone morphogenetic protein receptor ALK3. Proceedings of the National Academy of Sciences. 99(5). 2878–2883. 233 indexed citations
9.
Ahn, Kyung Jin, Yuji Mishina, Mark C. Hanks, Richard R. Behringer, & E. Bryan Crenshaw. (2001). BMPR-IA signaling is required for the formation of the apical ectodermal ridge and dorsal-ventral patterning of the limb. Development. 128(22). 4449–4461. 194 indexed citations
10.
Hanks, Mark C., Cynthia A. Loomis, Esther Harris, et al.. (1998). Drosophila engrailed can substitute for mouse Engrailed1 function in mid-hindbrain, but not limb development. Development. 125(22). 4521–4530. 81 indexed citations
11.
Loomis, Cynthia A., Esther Harris, Jacques L. Michaud, et al.. (1996). The mouse Engrailed-1 gene and ventral limb patterning. Nature. 382(6589). 360–363. 237 indexed citations
12.
Hanks, Mark C., Wolfgang Wurst, Lynn Anson‐Cartwright, Anna B. Auerbach, & Alexandra L. Joyner. (1995). Rescue of the En-1 Mutant Phenotype by Replacement of En-1 with En-2. Science. 269(5224). 679–682. 345 indexed citations
13.
Logan, Cairine, et al.. (1992). Cloning and sequence comparison of the mouse, human, and chicken engrailed genes reveal potential functional domains and regulatory regions. Developmental Genetics. 13(5). 345–358. 123 indexed citations
14.
15.
Hanks, Mark C., Richard Talbot, & H. M. Sang. (1989). Expression of biologically active recombinant-derived chicken prolactin in Escherichia coli. Journal of Molecular Endocrinology. 3(1). 15–21. 15 indexed citations
16.
Hanks, Mark C., et al.. (1989). Molecular cloning and sequence analysis of putative chicken prolactin cDNA. Journal of Molecular Endocrinology. 2(1). 21–30. 36 indexed citations
17.
Hanks, Mark C., Barbara Newman, Ian R. Oliver, & Millicent Masters. (1988). Packaging of transducing DNA by bacteriophage P1. Molecular and General Genetics MGG. 214(3). 523–532. 9 indexed citations
18.
Hanks, Mark C. & Millicent Masters. (1987). Transductional analysis of chromosome replication time. Molecular and General Genetics MGG. 210(2). 288–293. 2 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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