James D. Shull

2.2k total citations
68 papers, 1.6k citations indexed

About

James D. Shull is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, James D. Shull has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Genetics, 28 papers in Molecular Biology and 24 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in James D. Shull's work include Estrogen and related hormone effects (36 papers), Growth Hormone and Insulin-like Growth Factors (19 papers) and Genomics and Chromatin Dynamics (9 papers). James D. Shull is often cited by papers focused on Estrogen and related hormone effects (36 papers), Growth Hormone and Insulin-like Growth Factors (19 papers) and Genomics and Chromatin Dynamics (9 papers). James D. Shull collaborates with scholars based in United States, Netherlands and Germany. James D. Shull's co-authors include Jack Gorski, Rodney D. McComb, Karen L. Pennington, Thomas J. Spady, Tracy E. Strecker, Karen A. Gould, Martin Tochacek, Djuana M. E. Harvell, Beverly S. Schaffer and Jack Gorski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and PLoS ONE.

In The Last Decade

James D. Shull

68 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James D. Shull United States 24 903 682 466 271 172 68 1.6k
Veli Isomaa Finland 34 1.6k 1.8× 1.1k 1.6× 1.3k 2.8× 157 0.6× 135 0.8× 61 2.9k
Mesut Muyan United States 18 649 0.7× 672 1.0× 157 0.3× 230 0.8× 141 0.8× 46 1.4k
Veena R. Agarwal United States 17 929 1.0× 509 0.7× 186 0.4× 314 1.2× 146 0.8× 41 1.8k
Elisabeth Fayard France 13 488 0.5× 1.3k 1.8× 211 0.5× 545 2.0× 217 1.3× 15 2.1k
Jan Polman Netherlands 13 1.7k 1.8× 924 1.4× 369 0.8× 402 1.5× 152 0.9× 17 2.7k
Chelin Hu United States 18 560 0.6× 710 1.0× 283 0.6× 121 0.4× 146 0.8× 31 1.6k
Marine Adlanmérini France 17 524 0.6× 551 0.8× 185 0.4× 217 0.8× 116 0.7× 27 1.4k
Panayiotis E. Stevis United States 14 394 0.4× 457 0.7× 381 0.8× 87 0.3× 120 0.7× 25 1.1k
S W Curtis United States 14 1.6k 1.8× 747 1.1× 548 1.2× 365 1.3× 106 0.6× 16 2.2k
Susan Leers‐Sucheta United States 16 332 0.4× 382 0.6× 314 0.7× 93 0.3× 99 0.6× 20 1.1k

Countries citing papers authored by James D. Shull

Since Specialization
Citations

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

Fields of papers citing papers by James D. Shull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Shull. 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 James D. Shull. The network helps show where James D. Shull may publish in the future.

Co-authorship network of co-authors of James D. Shull

This figure shows the co-authorship network connecting the top 25 collaborators of James D. Shull. A scholar is included among the top collaborators of James D. Shull 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 James D. Shull. James D. Shull 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.
Ding, Lina, Nicholas W. Harper, Kunihiko Hinohara, et al.. (2019). Deletion of Cdkn1b in ACI rats leads to increased proliferation and pregnancy-associated changes in the mammary gland due to perturbed systemic endocrine environment. PLoS Genetics. 15(3). e1008002–e1008002. 6 indexed citations
2.
Hellerstein, Lisa, et al.. (2018). Recursive Feature Elimination by Sensitivity Testing. PubMed. 2018. 40–47. 42 indexed citations
3.
Dennison, Kirsten L., et al.. (2015). Development and characterization of a novel rat model of estrogen-induced mammary cancer. Endocrine Related Cancer. 22(2). 239–248. 10 indexed citations
4.
Schaffer, Beverly S., et al.. (2012). Mapping of Three Genetic Determinants of Susceptibility to Estrogen-Induced Mammary Cancer within the Emca8 Locus on Rat Chromosome 5. Cancer Prevention Research. 6(1). 59–69. 17 indexed citations
5.
Schaffer, Beverly S., Cynthia M. Lachel, Karen L. Pennington, et al.. (2006). Genetic Bases of Estrogen-Induced Tumorigenesis in the Rat: Mapping of Loci Controlling Susceptibility to Mammary Cancer in a Brown Norway × ACI Intercross. Cancer Research. 66(15). 7793–7800. 43 indexed citations
6.
Harvell, Djuana M. E., et al.. (2001). Diet-Gene Interactions in Estrogen-Induced Mammary Carcinogenesis in the ACI Rat. Journal of Nutrition. 131(11). 3087S–3091S. 11 indexed citations
7.
Gould, Karen A., James D. Shull, & Jack Gorski. (2000). DES action in the thymus: inhibition of cell proliferation and genetic variation. Molecular and Cellular Endocrinology. 170(1-2). 31–39. 23 indexed citations
8.
Spady, Thomas J., Rodney D. McComb, & James D. Shull. (1999). Estrogen Action in the Regulation of Cell Proliferation, Cell Survival, and Tumorigenesis in the Rat Anterior Pituitary Gland. Endocrine. 11(3). 217–234. 70 indexed citations
9.
Spady, Thomas J., Karen L. Pennington, Rodney D. McComb, Diane F. Birt, & James D. Shull. (1999). Estrogen-induced pituitary tumor development in the ACI rat not inhibited by dietary energy restriction. Molecular Carcinogenesis. 26(4). 239–253. 15 indexed citations
10.
Spady, Thomas J., Djuana M. E. Harvell, Athena M. Lemus-Wilson, et al.. (1999). Modulation of Estrogen Action in the Rat Pituitary and Mammary Glands by Dietary Energy Consumption. Journal of Nutrition. 129(2). 587S–590S. 22 indexed citations
11.
12.
Pennington, Karen L., et al.. (1998). Identification in the rat prolactin gene of sequences homologous to the distal promoter of the human prolactin gene. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1442(2-3). 304–313. 7 indexed citations
13.
Spady, Thomas J., Athena M. Lemus-Wilson, Karen L. Pennington, et al.. (1998). Dietary energy restriction abolishes development of prolactin-producing pituitary tumors in Fischer 344 rats treated with 17-βestradiol. Molecular Carcinogenesis. 23(2). 86–95. 17 indexed citations
14.
Shull, James D., et al.. (1997). Expression of the prolactin gene in normal and neoplastic human breast tissues and human mammary cell lines: Promoter usage and alternative mRNA splicing. Breast Cancer Research and Treatment. 44(3). 243–253. 50 indexed citations
15.
Shull, James D., Noriko Esumi, Amy S. Colwell, Karen L. Pennington, & Moncef Jendoubi. (1995). Sequence of the promoter region of the mouse gene encoding ornithine aminotransferase. Gene. 162(2). 275–277. 6 indexed citations
16.
17.
Shull, James D., et al.. (1992). Expression of fibroblast growth factor receptors by embryonal carcinoma cells and early mouse embryos. In Vitro Cellular & Developmental Biology - Animal. 28(1). 61–66. 14 indexed citations
18.
19.
Shull, James D. & Henry C. Pitot. (1989). The ornithine aminotransferase gene in gyrate, atrophy of the retina: Analysis of expression and gross structure of this gene in cultured fibroblasts. In Vitro Cellular & Developmental Biology - Plant. 25(10). 971–976. 8 indexed citations
20.
Shull, James D. & Jack Gorski. (1989). Estrogen Regulation of Prolactin Gene Transcription in Vivo: Paradoxical Effects of 17β-Estradiol Dose*. Endocrinology. 124(1). 279–285. 41 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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