Faye Haldane

513 total citations
10 papers, 401 citations indexed

About

Faye Haldane is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Faye Haldane has authored 10 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Faye Haldane's work include Muscle Physiology and Disorders (3 papers), Skin and Cellular Biology Research (2 papers) and Hair Growth and Disorders (2 papers). Faye Haldane is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Skin and Cellular Biology Research (2 papers) and Hair Growth and Disorders (2 papers). Faye Haldane collaborates with scholars based in United Kingdom, Netherlands and Austria. Faye Haldane's co-authors include Jonathan L. Rees, Richard Turner, Mark A. Birch‐Machin, Kate Bushby, Steve Laval, Volker Straub, Rita Barresi, Douglass M. Turnbull, Lars Klinge and Sharon Keers and has published in prestigious journals such as Annals of Neurology, The FASEB Journal and Journal of Investigative Dermatology.

In The Last Decade

Faye Haldane

10 papers receiving 396 citations

Peers

Faye Haldane

MB

CB

PHYSI

DERMA

CCM

Solange Vischer Switzerland

U. Burck Germany

S. Murano Japan

Anna Schossig Austria

Karen Steeghs Netherlands

Silvio Ferraris Italy

Yi-Wei Lin United States

M. Shohat Israel

Shixin Tao United States

Guazzi Gc Italy

Solange Vischer Switzerland

Faye Haldane

342 ×1.1

MB

48 ×0.5

CB

126 ×2.0

PHYSI

25 ×0.4

DERMA

3 ×0.1

CCM

Citations per year, relative to Faye Haldane Faye Haldane (= 1×) peers Solange Vischer

Countries citing papers authored by Faye Haldane

Since Specialization

Citations

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

Fields of papers citing papers by Faye Haldane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Faye Haldane

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

All Works

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10 of 10 papers shown

1.

Klinge, Lars, Steve Laval, Sharon Keers, et al.. (2007). From T‐tubule to sarcolemma: damage‐induced dysferlin translocation in early myogenesis. The FASEB Journal. 21(8). 1768–1776. 80 indexed citations

2.

Huang, Yanchao, Peter Verheesen, Andreas Roussis, et al.. (2005). Protein studies in dysferlinopathy patients using llama-derived antibody fragments selected by phage display. European Journal of Human Genetics. 13(6). 721–730. 52 indexed citations

3.

Hagen, Maja von der, Steven H. Laval, Lynsey Cree, et al.. (2005). The differential gene expression profiles of proximal and distal muscle groups are altered in pre-pathological dysferlin-deficient mice. Neuromuscular Disorders. 15(12). 863–877. 41 indexed citations

4.

Nichols, C.E., Jingshan Ren, Heather K. Lamb, et al.. (2001). Identification of many crystal forms ofAspergillus nidulansdehydroquinate synthase. Acta Crystallographica Section D Biological Crystallography. 57(2). 306–309. 4 indexed citations

5.

Birch‐Machin, Mark A., et al.. (1998). Mitochondrial DNA Deletions in Human Skin Reflect Photo- Rather Than Chronologic Aging. Journal of Investigative Dermatology. 110(2). 149–152. 107 indexed citations

6.

Birch‐Machin, Mark A., Eugene Healy, Richard Turner, et al.. (1997). Mapping of monilethrix to the type II keratin gene cluster at chromosome 12q13 in three new families, including one with variable expressivity. British Journal of Dermatology. 137(3). 339–343. 16 indexed citations

7.

Birch‐Machin, Mark A., Eugene Healy, Richard Turner, et al.. (1997). Mapping of monilethrix to the type II keratin gene cluster at chromosome 12q13 in three new families, including one with variable expressivity. British Journal of Dermatology. 137(3). 339–343. 11 indexed citations

8.

Taylor, Robert W., Patrick F. Chinnery, Faye Haldane, et al.. (1996). MELAS associated with a mutation in the valine transfer RNA gene of mitochondrial DNA. Annals of Neurology. 40(3). 459–462. 50 indexed citations

9.

Armstrong, Melissa J., et al.. (1996). Relationship Between Insulin Sensitivity and Insulin Receptor Substrate-1 Mutations in Non-diabetic Relatives of NIDDM Families. Diabetic Medicine. 13(4). 341–345. 16 indexed citations

10.

Armstrong, Melissa J., et al.. (1996). Human Insulin Receptor Substrate-1: Variant Sequences in Familial Non-insulin-dependent Diabetes Mellitus. Diabetic Medicine. 13(2). 133–138. 24 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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