Yale J. Topper

5.3k total citations · 1 hit paper
97 papers, 4.1k citations indexed

About

Yale J. Topper is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yale J. Topper has authored 97 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 41 papers in Genetics and 22 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yale J. Topper's work include Animal Genetics and Reproduction (24 papers), Digestive system and related health (15 papers) and Protein Hydrolysis and Bioactive Peptides (15 papers). Yale J. Topper is often cited by papers focused on Animal Genetics and Reproduction (24 papers), Digestive system and related health (15 papers) and Protein Hydrolysis and Bioactive Peptides (15 papers). Yale J. Topper collaborates with scholars based in United States and Poland. Yale J. Topper's co-authors include Takami Oka, Frank E. Stockdale, Roger W. Turkington, Barbara K. Vonderhaar, Lakshmanan Sankaran, Dean H. Lockwood, Kevin R. Nicholas, Franklyn F. Bolander, Ben Bloom and Stanton Segal and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yale J. Topper

97 papers receiving 3.7k citations

Hit Papers

Multiple hormone interactions in the developmental biolog... 1980 2026 1995 2010 1980 200 400 600

Peers

Yale J. Topper
H. Gregory United Kingdom
J Kruh France
Richard J. Imbra United States
Shutsung Liao United States
James F. Tobin United States
H. Gregory United Kingdom
Yale J. Topper
Citations per year, relative to Yale J. Topper Yale J. Topper (= 1×) peers H. Gregory

Countries citing papers authored by Yale J. Topper

Since Specialization
Citations

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

Fields of papers citing papers by Yale J. Topper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yale J. Topper. 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 Yale J. Topper. The network helps show where Yale J. Topper may publish in the future.

Co-authorship network of co-authors of Yale J. Topper

This figure shows the co-authorship network connecting the top 25 collaborators of Yale J. Topper. A scholar is included among the top collaborators of Yale J. Topper 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 Yale J. Topper. Yale J. Topper 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.
Pittius, C.W., Lakshmanan Sankaran, Yale J. Topper, & Lothar Hennighausen. (1988). Comparison of the Regulation of the Whey Acidic Protein Gene with that of a Hybrid Gene Containing the Whey Acidic Protein Gene Promoter in Transgenic Mice. Molecular Endocrinology. 2(11). 1027–1032. 108 indexed citations
2.
Prosser, Colin G., Lakshmanan Sankaran, Lothar Hennighausen, & Yale J. Topper. (1987). Comparison of the Roles of Insulin and Insulin-Like Growth Factor I in Casein Gene Expression and in the Development of α-Lactalbumin and Glucose Transport Activities in the Mouse Mammary Epithelial Cell. Endocrinology. 120(4). 1411–1416. 57 indexed citations
3.
Sankaran, Lakshmanan & Yale J. Topper. (1983). Selective enhancement of the induction of α-lactalbumin activity in rat mammary explants by epidermal growth factor. Biochemical and Biophysical Research Communications. 117(2). 524–529. 10 indexed citations
4.
Kulski, Jerzy K., et al.. (1983). An essential role for glucocorticoid in casein gene expression in rat mammary explants. Biochemical and Biophysical Research Communications. 114(1). 380–387. 21 indexed citations
5.
Nicholas, Kevin R. & Yale J. Topper. (1983). Anti-insulin receptor serum mimics the developmental role of insulin in mouse mammary explants. Biochemical and Biophysical Research Communications. 111(3). 988–993. 9 indexed citations
6.
Nicholas, Kevin R. & Yale J. Topper. (1980). Enhancement of α-lactalbumin-like activity in mammary explants from pregnant rats in the absence of exogenous prolactin. Biochemical and Biophysical Research Communications. 94(4). 1424–1431. 23 indexed citations
7.
Oka, Takami & Yale J. Topper. (1975). Insulin-Unresponsive Tissues Respond to Superactive Insulin-Like Material. Science. 188(4195). 1317–1319. 4 indexed citations
8.
Vonderhaar, Barbara K. & Yale J. Topper. (1974). Super-active forms of placental lactogen and prolactin. Biochemical and Biophysical Research Communications. 60(4). 1323–1330. 8 indexed citations
9.
Chomczyński, Piotr & Yale J. Topper. (1974). A direct effect of prolactin and placental lactogen on mammary epithelial nuclei. Biochemical and Biophysical Research Communications. 60(1). 56–63. 22 indexed citations
10.
Owens, Ida S., Barbara K. Vonderhaar, & Yale J. Topper. (1973). Concerning the Necessary Coupling of Development to Proliferation of Mouse Mammary Epithelial Cells. Journal of Biological Chemistry. 248(2). 472–477. 55 indexed citations
11.
Oka, Takami & Yale J. Topper. (1972). Dynamics of Insulin Action on Mammary Epithelium. Nature New Biology. 239(94). 216–217. 19 indexed citations
12.
Oka, Takami & Yale J. Topper. (1971). Hormone-dependent Accumulation of Rough Endoplasmic Reticulum in Mouse Mammary Epithelial Cells in Vitro. Journal of Biological Chemistry. 246(24). 7701–7707. 78 indexed citations
13.
Topper, Yale J., et al.. (1970). Some effects of prolactin, insulin and hydrocortisone on RNA synthesis by mouse mammary gland, in vitro. Biochimica et Biophysica Acta (BBA) - Nucleic Acids and Protein Synthesis. 204(2). 441–448. 26 indexed citations
14.
Turkington, Roger W., et al.. (1967). Steroid Structural Requirements for Mammary Gland Differentiation in Vitro. Endocrinology. 80(6). 1139–1142. 26 indexed citations
15.
Turkington, Roger W., Dean H. Lockwood, & Yale J. Topper. (1967). The induction of milk protein synthesis in post-mitotic mammary epithelial cells exposed to prolactin. Biochimica et Biophysica Acta (BBA) - General Subjects. 148(2). 475–480. 56 indexed citations
16.
Topper, Yale J., Leonard Laster, & Stanton Segal. (1962). Galactose Metabolism : Phenotypic Differences among Tissues of a Patient with Congenital Galactosæmia. Nature. 196(4858). 1006–1006. 18 indexed citations
17.
Topper, Yale J., et al.. (1962). The oxidation of retinene (vitamin A1 aldehyde) to vitamin A acid by mammalian steroid-sensitive aldehyde dehydrogenase. Biochimica et Biophysica Acta. 64(3). 430–437. 30 indexed citations
18.
Segal, Stanton & Yale J. Topper. (1960). On the biosynthesis of L-fucose and L-fucose metabolism in man. Biochimica et Biophysica Acta. 42. 147–151. 25 indexed citations
19.
Segal, Stanton & Yale J. Topper. (1957). On the biosynthesis of L-fucose by Aerobacter aerogenes. Biochimica et Biophysica Acta. 25(2). 419–420. 24 indexed citations
20.
Topper, Yale J. & DeWitt Stetten. (1951). THE ALKALI-CATALYZED CONVERSION OF GLUCOSE INTO FRUCTOSE AND MANNOSE. Journal of Biological Chemistry. 189(1). 191–202. 54 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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