Jack T. Mosher

3.2k total citations
19 papers, 2.1k citations indexed

About

Jack T. Mosher is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Jack T. Mosher has authored 19 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Surgery. Recurrent topics in Jack T. Mosher's work include Congenital gastrointestinal and neural anomalies (4 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Developmental Biology and Gene Regulation (4 papers). Jack T. Mosher is often cited by papers focused on Congenital gastrointestinal and neural anomalies (4 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Developmental Biology and Gene Regulation (4 papers). Jack T. Mosher collaborates with scholars based in United States, United Kingdom and Netherlands. Jack T. Mosher's co-authors include Sean J. Morrison, Nancy M. Joseph, Genevieve M. Kruger, Toshihide Iwashita, Stephen T. Crews, Margaret Sonnenfeld, Yoh‐suke Mukouyama, Martine Jaegle, Dies Meijer and Steven A. Crone and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Jack T. Mosher

18 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jack T. Mosher United States 16 1.1k 541 399 285 243 19 2.1k
Marthe J. Howard United States 28 1.2k 1.1× 395 0.7× 418 1.0× 106 0.4× 125 0.5× 51 2.0k
Kirsten Kuhlbrodt Germany 10 1.4k 1.3× 633 1.2× 386 1.0× 284 1.0× 376 1.5× 11 2.3k
Sonja J. McKeown Australia 23 993 0.9× 483 0.9× 308 0.8× 98 0.3× 160 0.7× 37 1.9k
Philippe Cochard France 25 1.4k 1.3× 271 0.5× 858 2.2× 841 3.0× 169 0.7× 46 2.4k
Baljinder S. Mankoo United Kingdom 19 1.4k 1.3× 413 0.8× 283 0.7× 128 0.4× 107 0.4× 33 2.1k
Eva Sonnenberg-Riethmacher Germany 14 1.1k 1.1× 205 0.4× 663 1.7× 302 1.1× 109 0.4× 17 2.2k
Aldamaria Puliti Italy 22 1.1k 1.0× 686 1.3× 383 1.0× 43 0.2× 209 0.9× 62 2.2k
Mariella Errede Italy 27 861 0.8× 119 0.2× 273 0.7× 169 0.6× 210 0.9× 75 2.1k
Maria Grigoriou Greece 16 1.7k 1.6× 517 1.0× 1.5k 3.7× 1.3k 4.6× 132 0.5× 42 3.4k
Paul D. Henion United States 21 1.5k 1.4× 169 0.3× 373 0.9× 336 1.2× 282 1.2× 28 2.2k

Countries citing papers authored by Jack T. Mosher

Since Specialization
Citations

This map shows the geographic impact of Jack T. Mosher'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 Jack T. Mosher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack T. Mosher more than expected).

Fields of papers citing papers by Jack T. Mosher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack T. Mosher. 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 Jack T. Mosher. The network helps show where Jack T. Mosher may publish in the future.

Co-authorship network of co-authors of Jack T. Mosher

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

All Works

19 of 19 papers shown
2.
Scannell, Christopher A., Elisabeth A. Pedersen, Jack T. Mosher, et al.. (2013). LGR5 is Expressed by Ewing Sarcoma and Potentiates Wnt/β-Catenin Signaling. Frontiers in Oncology. 3. 81–81. 35 indexed citations
3.
White, Richard M., Jennifer N. Cech, Sutheera Ratanasirintrawoot, et al.. (2011). DHODH modulates transcriptional elongation in the neural crest and melanoma. Nature. 471(7339). 518–522. 352 indexed citations
4.
White, Richard M., Jennifer N. Cech, Sutheera Ratanasirintrawoot, et al.. (2011). DHODH modulates transcriptional elongation in the neural crest and melanoma. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 4 indexed citations
5.
Cantrell, V. Ashley, et al.. (2010). Genetic background impacts developmental potential of enteric neural crest-derived progenitors in the Sox10Dom model of Hirschsprung disease. Human Molecular Genetics. 19(22). 4353–4372. 41 indexed citations
6.
Joseph, Nancy M., Jack T. Mosher, Johanna Buchstaller, et al.. (2008). The Loss of Nf1 Transiently Promotes Self-Renewal but Not Tumorigenesis by Neural Crest Stem Cells. Cancer Cell. 13(2). 129–140. 119 indexed citations
7.
Mosher, Jack T., Genevieve M. Kruger, Nancy M. Joseph, et al.. (2006). Intrinsic differences among spatially distinct neural crest stem cells in terms of migratory properties, fate determination, and ability to colonize the enteric nervous system. Developmental Biology. 303(1). 1–15. 56 indexed citations
8.
Joseph, Nancy M., Yoh‐suke Mukouyama, Jack T. Mosher, et al.. (2004). Neural crest stem cells undergo multilineage differentiation in developing peripheral nerves to generate endoneurial fibroblasts in addition to Schwann cells. Development. 131(22). 5599–5612. 270 indexed citations
9.
Kruger, Genevieve M., Jack T. Mosher, Yu-Hwai Tsai, et al.. (2003). Temporally Distinct Requirements for Endothelin Receptor B in the Generation and Migration of Gut Neural Crest Stem Cells. Neuron. 40(5). 917–929. 104 indexed citations
12.
Ma, Yue, Emily Niemitz, Jack T. Mosher, et al.. (2000). Functional Interactions betweenDrosophilabHLH/PAS, Sox, and POU Transcription Factors Regulate CNS Midline Expression of theslitGene. Journal of Neuroscience. 20(12). 4596–4605. 72 indexed citations
13.
Duncan, Dianne, Patricia A. Estes, Jack T. Mosher, et al.. (1999). The Spineless-Aristapedia and Tango bHLH-PAS proteins interact to control antennal and tarsal development in Drosophila. Development. 126(17). 3937–3945. 103 indexed citations
14.
Mosher, Jack T., Larry S. Birkemo, Michael F. Johnson, & Gregory N. Ervin. (1998). Sulfated Cholecystokinin Induces Mild Taste Aversion Conditioning in Rats when Administered by Three Different Routes. Peptides. 19(5). 849–857. 16 indexed citations
15.
Mosher, Jack T., et al.. (1998). Regulation of bHLH-PAS protein subcellular localization during Drosophila embryogenesis. Development. 125(9). 1599–1608. 75 indexed citations
16.
Sonnenfeld, Margaret, et al.. (1997). The Drosophila tango gene encodes a bHLH-PAS protein that is orthologous to mammalian Arnt and controls CNS midline and tracheal development. Development. 124(22). 4571–4582. 154 indexed citations
17.
Mosher, Jack T., et al.. (1996). Several roles of CCKA and CCKB receptor subtypes in CCK-8-induced and LiCl-induced taste aversion conditioning. Peptides. 17(3). 483–488. 9 indexed citations
18.
Ervin, Gregory N., et al.. (1995). The effects of anorectic and aversive agents on deprivation-induced feeding and taste aversion conditioning in rats.. Journal of Pharmacology and Experimental Therapeutics. 273(3). 1203–1210. 39 indexed citations
19.
Ervin, Gregory N., Jack T. Mosher, Larry S. Birkemo, & Michael F. Johnson. (1995). Multiple, small doses of cholecystokinin octapeptide are more efficacious at inducing taste aversion conditioning than single, large doses. Peptides. 16(3). 539–545. 22 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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