Kim E. Haworth

1.2k total citations
30 papers, 866 citations indexed

About

Kim E. Haworth is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kim E. Haworth has authored 30 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kim E. Haworth's work include Epigenetics and DNA Methylation (10 papers), Congenital heart defects research (6 papers) and dental development and anomalies (6 papers). Kim E. Haworth is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Congenital heart defects research (6 papers) and dental development and anomalies (6 papers). Kim E. Haworth collaborates with scholars based in United Kingdom, United States and Japan. Kim E. Haworth's co-authors include Anthony A. Fryer, Richard D. Emes, Paul T. Sharpe, William E. Farrell, Will Carroll, Khaled Ismail, John R. Glossop, Charles A. Mein, Branko Latinkic and Yvonne H. Edwards and has published in prestigious journals such as PLoS ONE, American Journal of Psychiatry and Development.

In The Last Decade

Kim E. Haworth

30 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim E. Haworth United Kingdom 18 616 218 137 93 82 30 866
Maria Teresa Divizia Italy 17 541 0.9× 464 2.1× 63 0.5× 77 0.8× 56 0.7× 46 1.1k
Cynthia S. Cook United States 15 301 0.5× 166 0.8× 174 1.3× 66 0.7× 51 0.6× 27 926
Hideaki Sawai Japan 17 482 0.8× 305 1.4× 150 1.1× 149 1.6× 31 0.4× 67 1.2k
Sajid Malik Pakistan 20 517 0.8× 392 1.8× 212 1.5× 45 0.5× 24 0.3× 105 1.2k
Harshwardhan M. Thaker United States 19 589 1.0× 339 1.6× 477 3.5× 34 0.4× 150 1.8× 39 1.2k
M. J. Harris Canada 16 528 0.9× 240 1.1× 240 1.8× 194 2.1× 31 0.4× 48 1.0k
A.J. Rutherford United Kingdom 17 475 0.8× 310 1.4× 499 3.6× 49 0.5× 72 0.9× 24 1.5k
Chunwei Cao China 16 497 0.8× 232 1.1× 27 0.2× 69 0.7× 35 0.4× 44 834
Susanne Ledig Germany 18 567 0.9× 546 2.5× 151 1.1× 50 0.5× 237 2.9× 33 1.0k
Yuichi Niikura Japan 17 813 1.3× 205 0.9× 78 0.6× 19 0.2× 39 0.5× 22 1.4k

Countries citing papers authored by Kim E. Haworth

Since Specialization
Citations

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

Fields of papers citing papers by Kim E. Haworth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim E. Haworth

This figure shows the co-authorship network connecting the top 25 collaborators of Kim E. Haworth. A scholar is included among the top collaborators of Kim E. Haworth 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 Kim E. Haworth. Kim E. Haworth 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.
Lu, Zhifeng, Chun‐Min Kang, Kim E. Haworth, et al.. (2021). The Long Noncoding RNA RP11-728F11.4 Promotes Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 41(3). 1191–1204. 22 indexed citations
2.
Haworth, Kim E., et al.. (2019). Liver Specification in the Absence of Cardiac Differentiation Revealed by Differential Sensitivity to Wnt/β Catenin Pathway Activation. Frontiers in Physiology. 10. 155–155. 2 indexed citations
3.
Emes, Richard D., Harry Clifford, Kim E. Haworth, et al.. (2012). Antiepileptic drugs and the fetal epigenome. Epilepsia. 54(1). e16–9. 8 indexed citations
4.
Fryer, Anthony A., Richard D. Emes, Khaled Ismail, et al.. (2011). Quantitative, high-resolution epigenetic profiling of CpG loci identifies associations with cord blood plasma homocysteine and birth weight in humans. Epigenetics. 6(1). 86–94. 110 indexed citations
5.
Ohazama, Atsushi, Kim E. Haworth, Masato S. Ota, Roman Hossein Khonsari, & Paul T. Sharpe. (2010). Ectoderm, endoderm, and the evolution of heterodont dentitions. genesis. 48(6). 382–389. 21 indexed citations
6.
Haworth, Kim E. & Branko Latinkic. (2009). Expression of Xenopus tropicalis HNF6/Onecut-1. The International Journal of Developmental Biology. 53(1). 159–162. 7 indexed citations
7.
Walters, Zoë S., Kim E. Haworth, & Branko Latinkic. (2008). NKCC1 (SLC12a2) induces a secondary axis in Xenopus laevis embryos independently of its co‐transporter function. The Journal of Physiology. 587(3). 521–529. 9 indexed citations
8.
Haworth, Kim E., Surendra Kotecha, Timothy J. Mohun, & Branko Latinkic. (2008). GATA4 and GATA5 are essential for heart and liver development in Xenopusembryos. BMC Developmental Biology. 8(1). 74–74. 45 indexed citations
9.
Haworth, Kim E., et al.. (2007). Characterisation of the genomic canineFgf8locus and screen for genetic variants in 4 dogs with different face types. DNA sequence. 18(3). 209–219. 2 indexed citations
10.
Haworth, Kim E., Martyn T. Cobourne, Chris Healy, et al.. (2006). Sonic hedgehog in the pharyngeal endoderm controls arch pattern via regulation of Fgf8 in head ectoderm. Developmental Biology. 303(1). 244–258. 78 indexed citations
11.
Haworth, Kim E., et al.. (2006). Expression of the Scube3 epidermal growth factor-related gene during early embryonic development in the mouse. Gene Expression Patterns. 7(5). 630–634. 22 indexed citations
12.
Haworth, Kim E., et al.. (2005). Characterisation of the genomic structure of chick Fgf8. DNA sequence. 16(3). 180–186. 6 indexed citations
13.
Haworth, Kim E., et al.. (2004). Regionalisation of early head ectoderm is regulated by endoderm and prepatterns the orofacial epithelium. Development. 131(19). 4797–4806. 53 indexed citations
14.
Sharpe, Paul T., Kim E. Haworth, & Atsushi Ohazama. (2003). A Dual Role for IKK a in Tooth Development. Journal of Dental Research. 82. 21 indexed citations
15.
Haworth, Kim E., Matthew Breen, M. M. Binns, D. A. HOPKINSON, & Yvonne H. Edwards. (2001). The canine homeobox gene MSX2: sequence, chromosome assignment and genetic analysis in dogs of different breeds. Animal Genetics. 32(1). 32–36. 10 indexed citations
16.
Fox, Margaret, Michael Lovett, Kim E. Haworth, et al.. (2001). TTY2: A Multicopy Y-Linked Gene Family. Genome Research. 11(6). 935–945. 17 indexed citations
17.
Haworth, Kim E., Matthew Breen, W. Putt, et al.. (2001). Canine TCOF1; cloning, chromosome assignment and genetic analysis in dogs with different head types. Mammalian Genome. 12(8). 622–629. 35 indexed citations
18.
Haworth, Kim E., et al.. (1998). The Expression of Receptor Tyrosine Phosphatases Is Responsive to Sciatic Nerve Crush. Molecular and Cellular Neuroscience. 12(3). 93–104. 27 indexed citations
19.
Shindler, Julian S., et al.. (1977). A study of peroxidase levels in human cervical mucus as an index of ovulation. Reproduction. 51(2). 413–417. 4 indexed citations
20.
Haworth, Kim E., Lisa M. Jones, & William J. Mandel. (1961). CLINICAL EXPERIENCE WITH A NEW PHENOTHIAZINE (PIPERACETAZINE). American Journal of Psychiatry. 117(8). 749–750. 6 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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