BK Vonderhaar

847 total citations
13 papers, 689 citations indexed

About

BK Vonderhaar is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, BK Vonderhaar has authored 13 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in BK Vonderhaar's work include Growth Hormone and Insulin-like Growth Factors (4 papers), Cancer Cells and Metastasis (4 papers) and Hypothalamic control of reproductive hormones (2 papers). BK Vonderhaar is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (4 papers), Cancer Cells and Metastasis (4 papers) and Hypothalamic control of reproductive hormones (2 papers). BK Vonderhaar collaborates with scholars based in United States, Japan and Israel. BK Vonderhaar's co-authors include Erika Ginsburg, Rina Das, Sailaja Koduri, Masaharu Ikeda, Gloria Chepko, Shlomo Wientroub, Luigi Strizzi, David S. Salomon, H. Minaguchi and Michiyoshi Taga and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Endocrinology and Journal of Cellular Physiology.

In The Last Decade

BK Vonderhaar

13 papers receiving 677 citations

Peers

BK Vonderhaar
M L Moyer United States
Monica M. Richert United States
R. Knauthe Germany
R. Galien France
Kuo-Pao Yang United States
Jessica M. Bennett United States
M L Moyer United States
BK Vonderhaar
Citations per year, relative to BK Vonderhaar BK Vonderhaar (= 1×) peers M L Moyer

Countries citing papers authored by BK Vonderhaar

Since Specialization
Citations

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

Fields of papers citing papers by BK Vonderhaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of BK Vonderhaar

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

All Works

13 of 13 papers shown
1.
Ginsburg, Erika, et al.. (2009). Msx2 induces epithelial‐mesenchymal transition in mouse mammary epithelial cells through upregulation of Cripto‐1. Journal of Cellular Physiology. 219(3). 659–666. 34 indexed citations
2.
Fleming, Jodie M., et al.. (2008). Interlobular and intralobular mammary stroma: Genotype may not reflect phenotype. BMC Cell Biology. 9(1). 46–46. 21 indexed citations
3.
Koduri, Sailaja, et al.. (2003). Alternative splicing to exon 11 of human prolactin receptor gene results in multiple isoforms including a secreted prolactin-binding protein. Journal of Molecular Endocrinology. 30(1). 31–47. 97 indexed citations
4.
Vonderhaar, BK. (2003). Hormonal interactions during mammary gland development. Breast Cancer Research. 5(S1). 3 indexed citations
5.
Chepko, Gloria, et al.. (2000). Progesterone induces side-branching of the ductal epithelium in the mammary glands of peripubertal mice. Journal of Endocrinology. 167(1). 39–52. 106 indexed citations
6.
Bolander, Franklyn F., Erika Ginsburg, & BK Vonderhaar. (1997). The regulation of mammary prolactin receptor metabolism by a retroviral envelope protein. Journal of Molecular Endocrinology. 19(2). 131–136. 8 indexed citations
7.
Taga, Michiyoshi, et al.. (1996). Gene expression of gonadotropin-releasing hormone in early pregnant rat and steroid hormone exposed mouse uteri. Journal of Endocrinological Investigation. 19(11). 708–713. 10 indexed citations
8.
Taga, Michiyoshi, et al.. (1995). Detection of Messenger RNA for Gonadotropin-Releasing Hormone (GnRH) but Not for GnRH Receptors in Mouse Mammary Glands. Biochemical and Biophysical Research Communications. 207(2). 800–806. 12 indexed citations
9.
Ikeda, Masaharu, et al.. (1995). Involution of Mouse Mammary Glands in Whole Organ Culture: A Model for Studying Programmed Cell Death. Biochemical and Biophysical Research Communications. 207(2). 860–867. 51 indexed citations
10.
Das, Rina & BK Vonderhaar. (1995). Transduction of prolactin's (PRL) growth signal through both long and short forms of the PRL receptor.. Molecular Endocrinology. 9(12). 1750–1759. 107 indexed citations
11.
Ginsburg, Erika & BK Vonderhaar. (1995). Prolactin synthesis and secretion by human breast cancer cells.. PubMed. 55(12). 2591–5. 210 indexed citations
12.
Smith, J. J., et al.. (1993). Ruminants express a prolactin receptor of Mr 33 000—36 000 in the mammary gland throughout pregnancy and lactation. Journal of Endocrinology. 139(1). 37–49. 5 indexed citations
13.
Wientroub, Shlomo, et al.. (1987). Milk Protein Synthesis by Mammary Glands of Vitamin D-Deficient Mice. Endocrinology. 121(3). 865–874. 25 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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