Tim King

2.8k total citations
37 papers, 2.0k citations indexed

About

Tim King is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tim King has authored 37 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 20 papers in Genetics and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tim King's work include Animal Genetics and Reproduction (16 papers), Reproductive Biology and Fertility (11 papers) and CRISPR and Genetic Engineering (11 papers). Tim King is often cited by papers focused on Animal Genetics and Reproduction (16 papers), Reproductive Biology and Fertility (11 papers) and CRISPR and Genetic Engineering (11 papers). Tim King collaborates with scholars based in United Kingdom, United States and France. Tim King's co-authors include Paul A. De Sousa, András Dinnyés, Lorraine Young, I. Wilmut, Bruce Whitelaw, Lesley Paterson, William A. Ritchie, Simon Lillico, Nathalie Beaujean and David N. Wells and has published in prestigious journals such as Nature, Nature Biotechnology and PLoS ONE.

In The Last Decade

Tim King

37 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim King United Kingdom 22 1.5k 1.1k 567 198 174 37 2.0k
Xavier Vignon France 26 1.5k 1.0× 881 0.8× 1.3k 2.3× 113 0.6× 92 0.5× 61 2.5k
Ramiro Alberio United Kingdom 29 1.8k 1.2× 845 0.8× 1.1k 2.0× 216 1.1× 73 0.4× 73 2.4k
Véronique Duranthon France 25 1.2k 0.8× 620 0.6× 738 1.3× 111 0.6× 107 0.6× 75 2.1k
Karl M. Ebert United States 23 1.6k 1.1× 1.5k 1.4× 806 1.4× 280 1.4× 162 0.9× 44 2.4k
Charles R. Long United States 25 1.5k 1.0× 1.0k 1.0× 1.2k 2.2× 163 0.8× 136 0.8× 61 2.5k
Nathalie Daniel France 22 893 0.6× 577 0.5× 217 0.4× 58 0.3× 66 0.4× 67 1.9k
Parvathi K. Basrur Canada 20 478 0.3× 801 0.7× 239 0.4× 96 0.5× 258 1.5× 128 1.5k
Ken Sawai Japan 21 1.0k 0.7× 530 0.5× 701 1.2× 90 0.5× 32 0.2× 61 1.5k
Masashi Miyake Japan 16 832 0.5× 312 0.3× 291 0.5× 62 0.3× 167 1.0× 43 1.4k
R. Roy Spain 18 536 0.3× 377 0.3× 311 0.5× 83 0.4× 154 0.9× 33 1.3k

Countries citing papers authored by Tim King

Since Specialization
Citations

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

Fields of papers citing papers by Tim King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim King

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

All Works

20 of 20 papers shown
1.
Eaton, Samantha L., Chris Proudfoot, Simon Lillico, et al.. (2019). CRISPR/Cas9 mediated generation of an ovine model for infantile neuronal ceroid lipofuscinosis (CLN1 disease). Scientific Reports. 9(1). 9891–9891. 41 indexed citations
2.
Lillico, Simon, Chris Proudfoot, Tim King, et al.. (2016). Mammalian interspecies substitution of immune modulatory alleles by genome editing. Scientific Reports. 6(1). 21645–21645. 84 indexed citations
3.
Proudfoot, Chris, Daniel F. Carlson, Rachel Huddart, et al.. (2014). Genome edited sheep and cattle. Transgenic Research. 24(1). 147–153. 180 indexed citations
4.
Kostic, Corinne, Simon Lillico, Sylvain V. Crippa, et al.. (2013). Rapid Cohort Generation and Analysis of Disease Spectrum of Large Animal Model of Cone Dystrophy. PLoS ONE. 8(8). e71363–e71363. 17 indexed citations
5.
Lillico, Simon, Chris Proudfoot, Daniel F. Carlson, et al.. (2013). Live pigs produced from genome edited zygotes. Scientific Reports. 3(1). 2847–2847. 133 indexed citations
6.
Lillico, Simon, et al.. (2008). CMV enhancer–promoter is preferentially active in exocrine cells in vivo. Transgenic Research. 18(2). 309–314. 10 indexed citations
7.
Ritchie, William A., Jane Taylor, John O. Gardner, et al.. (2005). Live Lambs Born from Zona-Pellucida Denuded Embryos. Cloning and Stem Cells. 7(3). 178–182. 7 indexed citations
8.
Golding, Jon P., Terence A. Partridge, Jonathan R. Beauchamp, et al.. (2004). Mouse myotomes pairs exhibit left–right asymmetric expression of MLC3F and α‐ skeletal actin. Developmental Dynamics. 231(4). 795–800. 15 indexed citations
9.
Dawson, Andrew, Tim King, Ian Wilmut, et al.. (2004). Immunohistochemical Characterization of Cloned Lamb Nephropathy. Journal of Histochemistry & Cytochemistry. 52(12). 1657–1664. 4 indexed citations
10.
Zhu, Jie, Tim King, J.R. Dobrinsky, et al.. (2003). In Vitro and In Vivo Developmental Competence of Ovulated and In Vitro Matured Porcine Oocytes Activated by Electrical Activation. Cloning and Stem Cells. 5(4). 355–365. 26 indexed citations
11.
Rhind, Susan, Jane Taylor, Paul A. De Sousa, et al.. (2003). Human cloning: can it be made safe?. Nature Reviews Genetics. 4(11). 855–864. 47 indexed citations
12.
Paterson, Lesley, Paul A. De Sousa, William A. Ritchie, Tim King, & Ian Wilmut. (2003). Application of reproductive biotechnology in animals: implications and potentials. Animal Reproduction Science. 79(3-4). 137–143. 32 indexed citations
13.
Dinnyés, András, Paul A. De Sousa, Tim King, & Ian Wilmut. (2002). Somatic Cell Nuclear Transfer: Recent Progress and Challenges. Cloning and Stem Cells. 4(1). 81–90. 47 indexed citations
14.
King, Tim, Heather Finlayson, Linda Harkness, et al.. (2002). Embryo development and establishment of pregnancy after embryo transfer in pigs: coping with limitations in the availability of viable embryos. Reproduction. 123(4). 507–515. 28 indexed citations
15.
Denning, Chris, Sarah Burl, A. Ainslie, et al.. (2001). Deletion of the α(1,3)galactosyl transferase (GGTA1) gene and the prion protein (PrP) gene in sheep. Nature Biotechnology. 19(6). 559–562. 198 indexed citations
16.
Wilmut, I., Lorraine Young, Paul A. De Sousa, & Tim King. (2000). New opportunities in animal breeding and production — an introductory remark. Animal Reproduction Science. 60-61. 5–14. 15 indexed citations
17.
King, Tim, et al.. (1999). Embryonic asymmetry: The left side gets all the best genes. Current Biology. 9(1). R18–R22. 15 indexed citations
18.
King, Tim, Rosa Beddington, & Nigel A. Brown. (1998). The role of the brachyury gene in heart development and left–right specification in the mouse. Mechanisms of Development. 79(1-2). 29–37. 70 indexed citations
19.
Lander, Anthony, et al.. (1998). Left – right development: Mammalian phenotypes and conceptual models. Seminars in Cell and Developmental Biology. 9(1). 35–41. 12 indexed citations
20.
King, Tim & Nigel A. Brown. (1995). Left–Right Asymmetry: The embryo's one-sided genes. Current Biology. 5(12). 1364–1366. 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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