E M Wilson

1.5k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

E M Wilson is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, E M Wilson has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Genetics. Recurrent topics in E M Wilson's work include Sexual Differentiation and Disorders (5 papers), Hormonal and reproductive studies (4 papers) and Estrogen and related hormone effects (2 papers). E M Wilson is often cited by papers focused on Sexual Differentiation and Disorders (5 papers), Hormonal and reproductive studies (4 papers) and Estrogen and related hormone effects (2 papers). E M Wilson collaborates with scholars based in United States. E M Wilson's co-authors include M Sar, Malcolm V. Lane, F S French, Zhongxiang Zhou, Claude J. Migeon, D. Joseph, Dennis B. Lubahn, T. R. Brown, Catherine S. Choong and Nancy H. Jones and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

E M Wilson

7 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Transcriptional activation and nuclear targeting signals of the human androgen receptor.

1991 515 citations M Sar, Malcolm V. Lane et al. Journal of Biological Chemistry profile →

Peers

E M Wilson

MB

GENET

EDM

PRM

CMN

M Sar United States

Jiann-an Tan United States

S. Zoppi Italy

Hetti Poukka Finland

Donato Civitareale Italy

Hank Lin United States

J. Pinski United States

Lorella Bonaccorsi Italy

Win-Jing Young United States

Helen Francis-Lang United Kingdom

M Sar United States

E M Wilson

840 ×1.2

MB

691 ×1.1

GENET

735 ×1.2

EDM

467 ×1.0

PRM

148 ×1.5

CMN

Citations per year, relative to E M Wilson E M Wilson (= 1×) peers M Sar

Countries citing papers authored by E M Wilson

Since Specialization

Citations

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

Fields of papers citing papers by E M Wilson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E M Wilson

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Wilson, E M, et al.. (2020). A novel missense mutation in the amino-terminal domain of the human androgen receptor gene in a family with partial androgen insensitivity syndrome causes reduced efficiency of protein translation.. UNC Libraries.

2.

Choong, Catherine S., et al.. (1996). A novel missense mutation in the amino-terminal domain of the human androgen receptor gene in a family with partial androgen insensitivity syndrome causes reduced efficiency of protein translation.. Journal of Clinical Investigation. 98(6). 1423–1431. 28 indexed citations

3.

Wilson, E M, et al.. (1996). Growth inhibition of human prostate cells in vitro by novel inhibitors of androgen synthesis.. PubMed. 56(21). 4956–64. 29 indexed citations

4.

Zhou, Zhongxiang, et al.. (1995). Identification of three proline-directed phosphorylation sites in the human androgen receptor.. Molecular Endocrinology. 9(5). 605–615. 144 indexed citations

5.

Carson, Gerald, Rolf Kuestner, Asma Ahmed, et al.. (1993). Characterization of monoclonal antibodies specific for the Vβ3 family of the human T cell receptor generated using soluble TCR β-chain. Journal of Immunological Methods. 164(2). 233–244. 11 indexed citations

6.

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

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.

Brown, T. R., Dennis B. Lubahn, E M Wilson, et al.. (1988). Deletion of the steroid-binding domain of the human androgen receptor gene in one family with complete androgen insensitivity syndrome: evidence for further genetic heterogeneity in this syndrome.. Proceedings of the National Academy of Sciences. 85(21). 8151–8155. 163 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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