Christine A. Ford

1.8k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

Christine A. Ford is a scholar working on Genetics, Cell Biology and Molecular Biology. According to data from OpenAlex, Christine A. Ford has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Cell Biology and 2 papers in Molecular Biology. Recurrent topics in Christine A. Ford's work include Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Skin and Cellular Biology Research (2 papers). Christine A. Ford is often cited by papers focused on Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Skin and Cellular Biology Research (2 papers). Christine A. Ford collaborates with scholars based in New Zealand, United States and Belgium. Christine A. Ford's co-authors include Russell G. Snell, Richard Spelman, Nadine Cambisano, Frédéric Farnir, Paulette Berzi, Wouter Coppieters, Patricia Simon, Latifa Karim, Bernard Grisart and Michel Georges and has published in prestigious journals such as Scientific Reports, Genetics and Genome Research.

In The Last Decade

Christine A. Ford

8 papers receiving 1.4k citations

Hit Papers

Positional Candidate Clon... 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christine A. Ford New Zealand 7 1.2k 329 249 241 194 8 1.4k
Paulette Berzi Belgium 9 1.7k 1.4× 568 1.7× 311 1.2× 265 1.1× 202 1.0× 10 1.9k
Morten Svendsen Norway 13 586 0.5× 172 0.5× 135 0.5× 233 1.0× 22 0.1× 19 824
Nadine Cambisano Belgium 14 2.4k 2.0× 707 2.1× 497 2.0× 387 1.6× 285 1.5× 22 2.7k
Haijing Zhu China 22 964 0.8× 77 0.2× 308 1.2× 191 0.8× 11 0.1× 63 1.4k
Dong Yin China 11 713 0.6× 443 1.3× 151 0.6× 73 0.3× 17 0.1× 15 1.2k
Toshio Watanabe Japan 19 1.2k 1.0× 268 0.8× 357 1.4× 168 0.7× 16 0.1× 79 1.4k
Myriam Mni Belgium 7 1.5k 1.2× 486 1.5× 247 1.0× 229 1.0× 243 1.3× 9 1.7k
Paolo Zambonelli Italy 17 556 0.5× 75 0.2× 195 0.8× 42 0.2× 38 0.2× 75 1.1k
Joanna Szyda Poland 19 956 0.8× 268 0.8× 191 0.8× 304 1.3× 22 0.1× 86 1.2k
Xuemei Deng China 17 342 0.3× 67 0.2× 87 0.3× 40 0.2× 18 0.1× 64 833

Countries citing papers authored by Christine A. Ford

Since Specialization
Citations

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

Fields of papers citing papers by Christine A. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christine A. Ford. 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 Christine A. Ford. The network helps show where Christine A. Ford may publish in the future.

Co-authorship network of co-authors of Christine A. Ford

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

All Works

8 of 8 papers shown
1.
Lehnert, Klaus, Hamish E. Ward, Sarah Berry, et al.. (2015). Phenotypic population screen identifies a new mutation in bovine DGAT1 responsible for unsaturated milk fat. Scientific Reports. 5(1). 8484–8484. 16 indexed citations
2.
Ford, Christine A., et al.. (2005). A Mutation in Bovine Keratin 5 Causing Epidermolysis Bullosa Simplex, Transmitted by a Mosaic Sire. Journal of Investigative Dermatology. 124(6). 1170–1176. 19 indexed citations
3.
Foitzik, Kerstin, Karoline Krause, A. J. Nixon, et al.. (2003). Prolactin and Its Receptor Are Expressed in Murine Hair Follicle Epithelium, Show Hair Cycle-Dependent Expression, and Induce Catagen. American Journal Of Pathology. 162(5). 1611–1621. 79 indexed citations
5.
Spelman, Richard, et al.. (2002). Characterization of the DGAT1 Gene in the New Zealand Dairy Population. Journal of Dairy Science. 85(12). 3514–3517. 163 indexed citations
6.
Grisart, Bernard, Wouter Coppieters, Frédéric Farnir, et al.. (2002). Positional Candidate Cloning of a QTL in Dairy Cattle: Identification of a Missense Mutation in the Bovine DGAT1 Gene with Major Effect on Milk Yield and Composition. Genome Research. 12(2). 222–231. 781 indexed citations breakdown →
7.
Nixon, A. J., Christine A. Ford, Jenny M. Oldham, & A.J. Pearson. (1997). Localisation of insulin-like growth factor receptors in skin follicles of sheep (Ovis aries) and changes during an induced growth cycle. Comparative Biochemistry and Physiology Part A Physiology. 118(4). 1247–1257. 19 indexed citations
8.
Dawson, Brenda V., et al.. (1993). Administration of melanotropic peptides during gestation in the rodent. Toxicology. 77(1-2). 91–101. 5 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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