M. Elizabeth Hutton

1.2k total citations · 1 hit paper
7 papers, 1.0k citations indexed

About

M. Elizabeth Hutton is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, M. Elizabeth Hutton has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in M. Elizabeth Hutton's work include Skin and Cellular Biology Research (4 papers), Bacterial Genetics and Biotechnology (3 papers) and RNA and protein synthesis mechanisms (3 papers). M. Elizabeth Hutton is often cited by papers focused on Skin and Cellular Biology Research (4 papers), Bacterial Genetics and Biotechnology (3 papers) and RNA and protein synthesis mechanisms (3 papers). M. Elizabeth Hutton collaborates with scholars based in United States. M. Elizabeth Hutton's co-authors include Elaine Fuchs, Pierre A. Coulombe, Amy S. Paller, Adelaide A. Hebert, Robert Vassar, Frederick C. Neidhardt, Ruth A. VanBogelen, P. Murali Sankar, Teresa Phillips and P. Deepa Sankar and has published in prestigious journals such as Cell, The Journal of Cell Biology and Molecular and Cellular Biology.

In The Last Decade

M. Elizabeth Hutton

7 papers receiving 996 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.

Point mutations in human keratin 14 genes of epidermolysis bullosa simplex patients: Genetic and functional analyses

1991 531 citations Pierre A. Coulombe, M. Elizabeth Hutton et al. Cell profile →

Peers

M. Elizabeth Hutton

CB

MB

GENET

UROLO

PFM

Christine J. Skerrow United Kingdom

C Byrne Australia

Olga Igoucheva United States

Ian A. King United Kingdom

T Mehrel United States

Mary McCormick United States

Shigeyuki Fukui Japan

Ian A. McKay United Kingdom

Eva M. Murauer Austria

Akira Kurosaka Japan

Christine J. Skerrow United Kingdom

M. Elizabeth Hutton

414 ×0.6

CB

297 ×0.5

MB

40 ×0.2

GENET

53 ×0.2

UROLO

68 ×0.6

PFM

Citations per year, relative to M. Elizabeth Hutton M. Elizabeth Hutton (= 1×) peers Christine J. Skerrow

Countries citing papers authored by M. Elizabeth Hutton

Since Specialization

Citations

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

Fields of papers citing papers by M. Elizabeth Hutton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Elizabeth Hutton

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

All Works

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7 of 7 papers shown

1.

Sankar, P. Deepa, M. Elizabeth Hutton, Ruth A. VanBogelen, Robert L. Clark, & Frederick C. Neidhardt. (1993). Expression analysis of cloned chromosomal segments of Escherichia coli. Journal of Bacteriology. 175(16). 5145–5152. 26 indexed citations

2.

Vassar, Robert, M. Elizabeth Hutton, & Elaine Fuchs. (1992). Transgenic Overexpression of Transforming Growth Factor α Bypasses the Need for c-Ha- ras Mutations in Mouse Skin Tumorigenesis. Molecular and Cellular Biology. 12(10). 4643–4653. 15 indexed citations

3.

Vassar, Robert, M. Elizabeth Hutton, & Elaine Fuchs. (1992). Transgenic overexpression of transforming growth factor alpha bypasses the need for c-Ha-ras mutations in mouse skin tumorigenesis.. Molecular and Cellular Biology. 12(10). 4643–4653. 94 indexed citations

4.

Coulombe, Pierre A., et al.. (1991). Point mutations in human keratin 14 genes of epidermolysis bullosa simplex patients: Genetic and functional analyses. Cell. 66(6). 1301–1311. 531 indexed citations breakdown →

5.

Coulombe, Pierre A., M. Elizabeth Hutton, Robert Vassar, & Elaine Fuchs. (1991). A function for keratins and a common thread among different types of epidermolysis bullosa simplex diseases.. The Journal of Cell Biology. 115(6). 1661–1674. 175 indexed citations

6.

VanBogelen, Ruth A., M. Elizabeth Hutton, & Frederick C. Neidhardt. (1990). Gene‐Protein database of Escherichia coli K ‐ 12: Edition 3. Electrophoresis. 11(12). 1131–1166. 140 indexed citations

7.

Neidhardt, Frederick C., et al.. (1989). Genomically linked cellular protein databases derived from two‐dimensional polyacrylamide gel electrophoresis. Electrophoresis. 10(2). 116–122. 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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