M Sar

1.8k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

M Sar is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, M Sar has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in M Sar's work include Hormonal and reproductive studies (4 papers), Estrogen and related hormone effects (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). M Sar is often cited by papers focused on Hormonal and reproductive studies (4 papers), Estrogen and related hormone effects (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). M Sar collaborates with scholars based in United States and Tanzania. M Sar's co-authors include Malcolm V. Lane, E M Wilson, F S French, Frank S. French, Valerie Quarmby, Dennis B. Lubahn, Elizabeth Wilson, D. Joseph, Elizabeth M. Wilson and John A. Cidlowski and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Biochemical Journal.

In The Last Decade

M Sar

9 papers receiving 1.5k citations

Hit Papers

Transcriptional activation and nuclear targeting signals ... 1991 2026 2002 2014 1991 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M Sar United States 9 840 735 691 467 148 9 1.5k
E M Wilson United States 7 730 0.9× 601 0.8× 606 0.9× 480 1.0× 96 0.6× 8 1.2k
Ryan A. Irvine United States 16 1.4k 1.6× 650 0.9× 719 1.0× 847 1.8× 169 1.1× 21 2.1k
J D Wilson United States 11 543 0.6× 526 0.7× 373 0.5× 322 0.7× 51 0.3× 13 1.1k
Harry P. Elsholtz Canada 21 1.5k 1.8× 1.4k 1.9× 977 1.4× 140 0.3× 192 1.3× 27 2.8k
Lorella Bonaccorsi Italy 26 499 0.6× 219 0.3× 310 0.4× 328 0.7× 53 0.4× 44 1.6k
Laurence Duprez Belgium 16 1.2k 1.4× 1.3k 1.7× 330 0.5× 57 0.1× 395 2.7× 17 2.3k
Sarah E. Flynn United States 7 2.0k 2.4× 1.5k 2.1× 1.3k 1.8× 70 0.1× 199 1.3× 7 3.2k
Marie‐Laure Kottler France 25 835 1.0× 296 0.4× 780 1.1× 77 0.2× 62 0.4× 56 1.8k
Kathleen M. Scully United States 14 1.4k 1.6× 719 1.0× 670 1.0× 39 0.1× 98 0.7× 17 2.1k
Susan M. Aronica United States 16 802 1.0× 368 0.5× 1.1k 1.5× 86 0.2× 217 1.5× 25 1.9k

Countries citing papers authored by M Sar

Since Specialization
Citations

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

Fields of papers citing papers by M Sar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Sar

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

All Works

9 of 9 papers shown
1.
Carroll, Rona S., Jianping Zhang, Kathleen Dashner, et al.. (1995). Androgen receptor expression in meningiomas. Journal of neurosurgery. 82(3). 453–460. 42 indexed citations
3.
Bellis, Annamaria De, Cliodhna Quigley, Keith B. Marschke, et al.. (1994). Characterization of mutant androgen receptors causing partial androgen insensitivity syndrome.. The Journal of Clinical Endocrinology & Metabolism. 78(3). 513–522. 58 indexed citations
4.
Bellis, Annamaria De, Cliodhna Quigley, Neal F. Cariello, et al.. (1992). Single base mutations in the human androgen receptor gene causing complete androgen insensitivity: rapid detection by a modified denaturing gradient gel electrophoresis technique.. Molecular Endocrinology. 6(11). 1909–1920. 52 indexed citations
5.
Lane, Malcolm V., et al.. (1992). Androgen receptor phosphorylation, turnover, nuclear transport, and transcriptional activation. Specificity for steroids and antihormones.. Journal of Biological Chemistry. 267(2). 968–974. 353 indexed citations
6.
Lai, F. Anthony, Myrna A.R. Dent, Colin Wickenden, et al.. (1992). Expression of a cardiac Ca2+-release channel isoform in mammalian brain. Biochemical Journal. 288(2). 553–564. 84 indexed citations
7.
Sar, M, et al.. (1991). Transcriptional activation and nuclear targeting signals of the human androgen receptor.. Journal of Biological Chemistry. 266(1). 510–518. 515 indexed citations breakdown →
8.
Quarmby, Valerie, Jon Kemppainen, M Sar, et al.. (1990). Expression of Recombinant Androgen Receptor in Cultured Mammalian Cells. Molecular Endocrinology. 4(9). 1399–1407. 64 indexed citations
9.
Joseph, D., Valerie Quarmby, Dennis B. Lubahn, et al.. (1988). The Rat Androgen Receptor: Primary Structure, Autoregulation of its Messenger Ribonucleic Acid, and Immunocytochemical Localization of the Receptor Protein. Molecular Endocrinology. 2(12). 1276–1285. 241 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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