David Mansfield

799 total citations
25 papers, 541 citations indexed

About

David Mansfield is a scholar working on Molecular Biology, Ophthalmology and Genetics. According to data from OpenAlex, David Mansfield has authored 25 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Ophthalmology and 7 papers in Genetics. Recurrent topics in David Mansfield's work include Retinal Development and Disorders (6 papers), Retinal Diseases and Treatments (5 papers) and Retinal Imaging and Analysis (3 papers). David Mansfield is often cited by papers focused on Retinal Development and Disorders (6 papers), Retinal Diseases and Treatments (5 papers) and Retinal Imaging and Analysis (3 papers). David Mansfield collaborates with scholars based in United Kingdom, Canada and France. David Mansfield's co-authors include Chris F. Inglehearn, Louise Downey, T J Keen, Xinhua Shu, Anthony T. Moore, Andrew D. Carothers, Stewart W. Morris, H.J. Evans, Daryll K. Green and Xun Zhang and has published in prestigious journals such as The American Journal of Human Genetics, Investigative Ophthalmology & Visual Science and Genomics.

In The Last Decade

David Mansfield

25 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Mansfield United Kingdom 9 324 176 92 58 48 25 541
Francesco Benedicenti Italy 10 165 0.5× 123 0.7× 27 0.3× 15 0.3× 13 0.3× 21 417
Louisa S. Tang United States 10 184 0.6× 65 0.4× 32 0.3× 123 2.1× 7 0.1× 12 454
Ayça Aykut Türkiye 12 247 0.8× 180 1.0× 11 0.1× 12 0.2× 17 0.4× 81 553
Selwa A.F. Al-Hazzaa Saudi Arabia 10 112 0.3× 71 0.4× 107 1.2× 9 0.2× 6 0.1× 27 365
Edward Averbukh Israel 17 382 1.2× 125 0.7× 486 5.3× 5 0.1× 13 0.3× 42 771
Ruchi Kapoor India 11 136 0.4× 44 0.3× 9 0.1× 22 0.4× 13 0.3× 28 448
Pamela Knight United States 13 174 0.5× 72 0.4× 5 0.1× 44 0.8× 11 0.2× 25 508
Louise O'Gorman Australia 9 123 0.4× 121 0.7× 8 0.1× 39 0.7× 19 0.4× 10 414
Alisa S.W. Shum Hong Kong 13 694 2.1× 275 1.6× 8 0.1× 128 2.2× 20 0.4× 21 1.1k
Linda Meredith United Kingdom 10 347 1.1× 198 1.1× 7 0.1× 13 0.2× 15 0.3× 15 595

Countries citing papers authored by David Mansfield

Since Specialization
Citations

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

Fields of papers citing papers by David Mansfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mansfield

This figure shows the co-authorship network connecting the top 25 collaborators of David Mansfield. A scholar is included among the top collaborators of David Mansfield 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 David Mansfield. David Mansfield 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.
Kennedy, Graeme, et al.. (2020). Sub-clinical thickening of the fovea in diabetes and its relationship to glycaemic control: a study using swept-source optical coherence tomography. Graefe s Archive for Clinical and Experimental Ophthalmology. 259(3). 633–641. 3 indexed citations
2.
Kennedy, Graeme, et al.. (2018). Measuring visual cortical oxygenation in diabetes using functional near-infrared spectroscopy. Acta Diabetologica. 55(11). 1181–1189. 11 indexed citations
3.
Beaman, Glenda M., et al.. (2018). Clinical and genetic heterogeneity in Melkersson-Rosenthal Syndrome. European Journal of Medical Genetics. 62(6). 103536–103536. 8 indexed citations
4.
Patnaik, Sarita Rani, et al.. (2015). The Role of RPGR and Its Interacting Proteins in Ciliopathies. Journal of Ophthalmology. 2015. 1–10. 44 indexed citations
5.
Shu, Xinhua, Jijing Pang, Houbin Zhang, & David Mansfield. (2015). Retinitis Pigmentosa: Disease Mechanisms, Diagnosis, and Therapies. Journal of Ophthalmology. 2015. 1–1. 2 indexed citations
6.
Thompson, Alexandra, et al.. (2013). Sight-threatening Keratopathy Complicating Anti-TNF Therapy in Crohnʼs Disease. Inflammatory Bowel Diseases. 20(1). E2–E3. 7 indexed citations
7.
Robinson, David, et al.. (2011). Two cases of oculopharyngeal muscular dystrophy (OPMD) with the rare PABPN1 c.35G > C; p.Gly12Ala point mutation. Neuromuscular Disorders. 21(11). 809–811. 7 indexed citations
8.
9.
Parry, David, Alan J. Mighell, Walid El‐Sayed, et al.. (2009). Mutations in CNNM4 Cause Jalili Syndrome, Consisting of Autosomal-Recessive Cone-Rod Dystrophy and Amelogenesis Imperfecta. The American Journal of Human Genetics. 84(2). 266–273. 119 indexed citations
10.
Inglehearn, C.F., Walid El‐Sayed, Richard F. Shore, et al.. (2008). Jalili Syndrome - Cone-Rod Dystrophy (CRD) and Amelogenesis Imperfecta (AI); Six Families and Consistent Linkage to 2q11. Investigative Ophthalmology & Visual Science. 49(13). 457–457. 1 indexed citations
11.
López, I., et al.. (2004). RPGRIP1 mutations in juvenile retinitis pigmentosa: a linkage and mutation study.. Investigative Ophthalmology & Visual Science. 45(13). 4727–4727. 1 indexed citations
12.
Mansfield, David. (2004). Le développement alternatif en Afghanistan : l'échec du donnant-donnant. Hérodote. N°112(1). 105–121. 2 indexed citations
13.
Keen, T J, Matthew M. Hims, Arthur B. McKie, et al.. (2002). Mutations in a protein target of the Pim-1 kinase associated with the RP9 form of autosomal dominant retinitis pigmentosa. European Journal of Human Genetics. 10(4). 245–249. 70 indexed citations
14.
Shahani, Uma, David Mansfield, David M. Halliday, et al.. (2001). Magnetoencephalography and stereopsis: rhythmic cortical activity in humans recorded over the parieto-occipital cortex. Neuroscience Letters. 315(3). 154–158. 3 indexed citations
15.
Downey, Louise, T J Keen, Emma Roberts, et al.. (2001). A New Locus for Autosomal Dominant Familial Exudative Vitreoretinopathy Maps to Chromosome 11p12-13. The American Journal of Human Genetics. 68(3). 778–781. 49 indexed citations
16.
Bruford, Elspeth A., Ruth Riise, Peter Teague, et al.. (1997). Linkage Mapping in 29 Bardet–Biedl Syndrome Families Confirms Loci in Chromosomal Regions 11q13, 15q22.3–q23, and 16q21. Genomics. 41(1). 93–99. 96 indexed citations
17.
He, Lin, David Mansfield, A. F. Brown, et al.. (1995). Automated linkage analysis in psychiatric disorders. American Journal of Medical Genetics. 60(3). 192–198. 3 indexed citations
18.
Mansfield, David, Peter Teague, & Alison G. Barber. (1994). Genetic linkage studies in autosomal recessive retinitis pigmentosa. The American Journal of Human Genetics. 55. 3 indexed citations
19.
Wright, A.F., Elspeth A. Bruford, & David Mansfield. (1994). Genetic linkage analysis in 26 families with Bardet-Biedl syndrome. The American Journal of Human Genetics. 55. 4 indexed citations
20.
Mansfield, David, et al.. (1994). Automation of Genetic Linkage Analysis Using Fluorescent Microsatellite Markers. Genomics. 24(2). 225–233. 68 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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