Sunayna Best

2.5k total citations
17 papers, 541 citations indexed

About

Sunayna Best is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Sunayna Best has authored 17 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 9 papers in Molecular Biology and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Sunayna Best's work include Genetic and Kidney Cyst Diseases (7 papers), Genomics and Rare Diseases (6 papers) and Renal and related cancers (4 papers). Sunayna Best is often cited by papers focused on Genetic and Kidney Cyst Diseases (7 papers), Genomics and Rare Diseases (6 papers) and Renal and related cancers (4 papers). Sunayna Best collaborates with scholars based in United Kingdom, United States and Ireland. Sunayna Best's co-authors include Lyn S. Chitty, Ronald J. Wapner, Karen Wou, Neeta L. Vora, Sailesh Kumar, Sarah‐Jane Lam, Jane Hayward, Alison Male, Natalie Chandler and Francesca Faravelli and has published in prestigious journals such as Nature Communications, Journal of the American Society of Nephrology and Human Molecular Genetics.

In The Last Decade

Sunayna Best

15 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sunayna Best United Kingdom	9	332	285	188	54	49	17	541
Hagit Daum Israel	12	141 0.4×	172 0.6×	87 0.5×	25 0.5×	83 1.7×	39	420
Hailong Huang China	11	181 0.5×	263 0.9×	128 0.7×	13 0.2×	75 1.5×	98	541
Necat İmirzalıoğlu Türkiye	11	128 0.4×	146 0.5×	159 0.8×	29 0.5×	56 1.1×	31	429
P. Wieacker Germany	12	177 0.5×	109 0.4×	198 1.1×	55 1.0×	43 0.9×	43	455
Nicole Morichon France	9	149 0.4×	134 0.5×	164 0.9×	32 0.6×	75 1.5×	10	367
Anjeung Kang Switzerland	9	100 0.3×	284 1.0×	138 0.7×	35 0.6×	23 0.5×	11	463
Anna Materna‐Kiryluk Poland	13	170 0.5×	91 0.3×	153 0.8×	32 0.6×	100 2.0×	37	403
Ulrike Mau Germany	8	356 1.1×	454 1.6×	349 1.9×	15 0.3×	24 0.5×	10	777
Shu‐Chin Chien Taiwan	10	73 0.2×	67 0.2×	84 0.4×	42 0.8×	44 0.9×	32	309

Countries citing papers authored by Sunayna Best

Since Specialization

Citations

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

Fields of papers citing papers by Sunayna Best

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunayna Best

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

All Works

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17 of 17 papers shown

Stuck, Michael W., Sunayna Best, Colin A. Johnson, et al.. (2025). Cleavage of the Meckel-Gruber syndrome protein TMEM67 by ADAMTS9 uncouples Wnt signaling and ciliogenesis. Nature Communications. 16(1). 4946–4946.

Smith, Claire E. L., Andrew J. Streets, Subaashini Natarajan, et al.. (2025). Drug and siRNA screens identify ROCK2 as a therapeutic target for ciliopathies. Communications Medicine. 5(1). 129–129. 4 indexed citations

Hartill, Verity, M. Shahjahan Kabir, Sunayna Best, et al.. (2024). Molecular diagnoses and candidate gene identification in the congenital heart disease cohorts of the 100,000 genomes project. European Journal of Human Genetics. 33(6). 793–802. 1 indexed citations

Smith, Claire E. L., Virginie Laugel-Haushalter, Ummey Hany, et al.. (2024). Biallelic variants in Plexin B2 (PLXNB2) cause amelogenesis imperfecta, hearing loss and intellectual disability. Journal of Medical Genetics. 61(7). 689–698. 2 indexed citations

Best, Sunayna, Chris F. Inglehearn, Christopher M. Watson, et al.. (2022). Unlocking the potential of the UK 100,000 Genomes Project—lessons learned from analysis of the “Congenital Malformations caused by Ciliopathies” cohort. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 190(1). 5–8. 4 indexed citations

Best, Sunayna, Jing Yu, Jenny Lord, et al.. (2022). Uncovering the burden of hidden ciliopathies in the 100 000 Genomes Project: a reverse phenotyping approach. Journal of Medical Genetics. 59(12). 1151–1164. 8 indexed citations

Best, Sunayna, Jenny Lord, Christopher M. Watson, et al.. (2021). Molecular diagnoses in the congenital malformations caused by ciliopathies cohort of the 100,000 Genomes Project. Journal of Medical Genetics. 59(8). 737–747. 15 indexed citations

Best, Sunayna, et al.. (2021). Interpreting ciliopathy-associated missense variants of uncertain significance (VUS) inCaenorhabditis elegans. Human Molecular Genetics. 31(10). 1574–1587. 13 indexed citations

Rubbo, Bruna, Sunayna Best, Robert A. Hirst, et al.. (2020). Clinical features and management of children with primary ciliary dyskinesia in England. Archives of Disease in Childhood. 105(8). 724–729. 18 indexed citations

10.

Best, Sunayna, James A. Poulter, Verity Hartill, et al.. (2020). Novel loss-of-function mutation in HERC2 is associated with severe developmental delay and paediatric lethality. Journal of Medical Genetics. 58(5). 334–341. 13 indexed citations

11.

Chandler, Natalie, Sunayna Best, Jane Hayward, et al.. (2019). Rapid Prenatal Diagnosis Using Targeted Exome Sequencing: A Cohort Study to Assess Feasibility and Potential Impact on Prenatal Counseling and Pregnancy Management. Obstetrical & Gynecological Survey. 74(4). 202–204. 2 indexed citations

12.

Chandler, Natalie, Sunayna Best, Jane Hayward, et al.. (2018). Rapid prenatal diagnosis using targeted exome sequencing: a cohort study to assess feasibility and potential impact on prenatal counseling and pregnancy management. Genetics in Medicine. 20(11). 1430–1437. 104 indexed citations

13.

Best, Sunayna, et al.. (2017). Promises, pitfalls and practicalities of prenatal whole exome sequencing. Prenatal Diagnosis. 38(1). 10–19. 227 indexed citations

14.

Best, Sunayna, Elisabeth Rosser, & Monika Bajaj. (2017). Fifteen years of genetic testing from a London developmental clinic. Archives of Disease in Childhood. 102(11). 1014–1018. 3 indexed citations

15.

Hogg, Claire, Sunayna Best, Amelia Shoemark, et al.. (2017). Genetic risk factors for laterality defects and congenital heart disease (CHD) in patients with primary ciliary dyskinesia (PCD). PA1852–PA1852.

16.

Forsythe, Elizabeth, Sunayna Best, Bethan E. Hoskins, et al.. (2016). Risk Factors for Severe Renal Disease in Bardet–Biedl Syndrome. Journal of the American Society of Nephrology. 28(3). 963–970. 74 indexed citations

17.

Lam, Sarah‐Jane, Sunayna Best, & Sailesh Kumar. (2014). The impact of fibroid characteristics on pregnancy outcome. American Journal of Obstetrics and Gynecology. 211(4). 395.e1–395.e5. 53 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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