Margaret E. Bock

656 total citations
18 papers, 533 citations indexed

About

Margaret E. Bock is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Margaret E. Bock has authored 18 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Margaret E. Bock's work include Genetic Syndromes and Imprinting (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Pregnancy and preeclampsia studies (4 papers). Margaret E. Bock is often cited by papers focused on Genetic Syndromes and Imprinting (7 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Pregnancy and preeclampsia studies (4 papers). Margaret E. Bock collaborates with scholars based in Canada, United States and Belgium. Margaret E. Bock's co-authors include Peter A. Cattini, Barbara E. Nickel, Patricia Sheppard, Elissavet Kardami, Aristides Lytras, Robert Snoek, Chawnshang Chang, Nicholas Bruchovsky, A Hamel and Robert J. Matusik and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Endocrinology and Annals of the New York Academy of Sciences.

In The Last Decade

Margaret E. Bock

18 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margaret E. Bock Canada 11 291 200 171 150 70 18 533
Nacia Faure Canada 18 182 0.6× 100 0.5× 284 1.7× 122 0.8× 41 0.6× 38 876
A. M. Comaru-Schally United States 10 113 0.4× 119 0.6× 260 1.5× 202 1.3× 33 0.5× 12 662
Maria Alexiadis Australia 16 233 0.8× 126 0.6× 64 0.4× 57 0.4× 26 0.4× 26 570
R B Jaffe United States 9 177 0.6× 50 0.3× 117 0.7× 86 0.6× 76 1.1× 10 483
Ron G. Rosenfeld United States 7 243 0.8× 227 1.1× 326 1.9× 27 0.2× 105 1.5× 8 522
Ru Gao China 13 223 0.8× 176 0.9× 154 0.9× 26 0.2× 70 1.0× 35 606
Michael B. Ranke Germany 7 149 0.5× 107 0.5× 345 2.0× 45 0.3× 89 1.3× 11 474
C Lecointre France 10 336 1.2× 203 1.0× 155 0.9× 35 0.2× 36 0.5× 15 506
Patrick Lim Australia 8 195 0.7× 128 0.6× 141 0.8× 102 0.7× 12 0.2× 13 485
Aristides Lytras Canada 13 172 0.6× 63 0.3× 240 1.4× 23 0.2× 116 1.7× 19 514

Countries citing papers authored by Margaret E. Bock

Since Specialization
Citations

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

Fields of papers citing papers by Margaret E. Bock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret E. Bock. 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 Margaret E. Bock. The network helps show where Margaret E. Bock may publish in the future.

Co-authorship network of co-authors of Margaret E. Bock

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret E. Bock. A scholar is included among the top collaborators of Margaret E. Bock 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 Margaret E. Bock. Margaret E. Bock 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.
Verghese, Priya S., Jodi M. Smith, Katherine Twombley, et al.. (2024). Body mass index in pediatric kidney transplant selection criteria. Pediatric Nephrology. 39(11). 3333–3338. 1 indexed citations
2.
3.
Cattini, Peter A., et al.. (2020). Obesity and regulation of human placental lactogen production in pregnancy. Journal of Neuroendocrinology. 32(11). e12859–e12859. 18 indexed citations
4.
5.
Jin, Yan, et al.. (2018). Chromosomal architecture and placental expression of the human growth hormone gene family are targeted by pre-pregnancy maternal obesity. American Journal of Physiology-Endocrinology and Metabolism. 315(4). E435–E445. 20 indexed citations
6.
7.
Lu, Shun, Yan Jin, Xiaodong Li, et al.. (2010). Embryonic Survival and Severity of Cardiac and Craniofacial Defects Are Affected by Genetic Background in Fibroblast Growth Factor-16 Null Mice. DNA and Cell Biology. 29(8). 407–415. 20 indexed citations
8.
Hu, Limei, Aristides Lytras, Margaret E. Bock, et al.. (1999). Detection of placental growth hormone variant and chorionic somatomammotropin-L RNA expression in normal and diabetic pregnancy by reverse transcriptase-polymerase chain reaction. Molecular and Cellular Endocrinology. 157(1-2). 131–142. 19 indexed citations
9.
Leite, Valeriano, et al.. (1996). A possible role for D8/PSF-A-like sequences in lactotroph versus somatotroph expression of the human prolactin gene. Journal of Endocrinology. 149(3). 473–483. 3 indexed citations
10.
Jin, Yan, Kishore B.S. Pasumarthi, Margaret E. Bock, et al.. (1995). Effect of "Enhancer" Sequences on Ventricular Myosin Light Chain-2 Promoter Activity in Heart Muscle and Nonmuscle Cells. Biochemical and Biophysical Research Communications. 210(2). 260–266. 13 indexed citations
11.
Pasumarthi, Kishore B.S., et al.. (1995). Characterization of Fibroblast Growth Factor Receptor 1 RNA Expression in the Embryonic Mouse Hearta. Annals of the New York Academy of Sciences. 752(1). 406–416. 8 indexed citations
12.
Jin, Yan, Kishore B.S. Pasumarthi, Margaret E. Bock, et al.. (1994). Cloning and Expression of Fibroblast Growth Factor Receptor-1 Isoforms in the Mouse Heart: Evidence for Isoform Switching During Heart Development. Journal of Molecular and Cellular Cardiology. 26(11). 1449–1459. 45 indexed citations
13.
Lytras, Aristides, Margaret E. Bock, Janice G. Dodd, & Peter A. Cattini. (1994). Detection of placental growth hormone variant and chorionic somatomammotropin ribonucleic acid expression in human trophoblastic neoplasms by reverse transcriptase-polymerase chain reaction.. Endocrinology. 134(6). 2461–2467. 29 indexed citations
14.
Nickel, Barbara E., Margaret E. Bock, Mark W. Nachtigal, & Peter A. Cattini. (1993). Differential expression of human placental growth hormone variant and chorionic somatomammotropin genes in choriocarcinoma cells treated with methotrexate. Molecular and Cellular Endocrinology. 91(1-2). 159–166. 8 indexed citations
15.
Vuille, Jean‐Claude, Peter A. Cattini, Margaret E. Bock, et al.. (1993). Rat prolactin-like protein A partial gene and promoter structure: promoter activity in placental and pituitary cells. Molecular and Cellular Endocrinology. 96(1-2). 91–98. 16 indexed citations
16.
Rennie, Paul S., Nicholas Bruchovsky, Kevin J. Leco, et al.. (1993). Characterization of two cis-acting DNA elements involved in the androgen regulation of the probasin gene.. Molecular Endocrinology. 7(1). 23–36. 272 indexed citations
17.
Nachtigal, Mark W., et al.. (1992). Chorionic gonadotrophin and c-myc expression in growing and growth-inhibited (intermediate) trophoblasts. Placenta. 13(4). 371–383. 10 indexed citations
18.
Cattini, Peter A., Barbara E. Nickel, Margaret E. Bock, & Elissavet Kardami. (1991). Immunolocalization of basic fibroblast growth factor (bFGF) in growing and growth-inhibited placental cells: A possible role for bFGF in placental cell development. Placenta. 12(4). 341–352. 36 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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