Jon Sherlock

2.1k total citations
38 papers, 1.5k citations indexed

About

Jon Sherlock is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Molecular Biology. According to data from OpenAlex, Jon Sherlock has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pediatrics, Perinatology and Child Health, 15 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in Jon Sherlock's work include Prenatal Screening and Diagnostics (22 papers), Genomic variations and chromosomal abnormalities (13 papers) and Fetal and Pediatric Neurological Disorders (6 papers). Jon Sherlock is often cited by papers focused on Prenatal Screening and Diagnostics (22 papers), Genomic variations and chromosomal abnormalities (13 papers) and Fetal and Pediatric Neurological Disorders (6 papers). Jon Sherlock collaborates with scholars based in United Kingdom, Austria and United States. Jon Sherlock's co-authors include Matteo Adinolfí, Barbara Pertl, Charles H. Rodeck, Dagan Wells, B. Tutschek, Vincenzo Cirigliano, Mary Petrou, Joy Delhanty, J. Wolter Oosterhuis and John Baeten and has published in prestigious journals such as The Lancet, PLoS ONE and American Journal of Obstetrics and Gynecology.

In The Last Decade

Jon Sherlock

37 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon Sherlock United Kingdom 22 819 604 469 364 198 38 1.5k
Francesca Romana Grati Italy 28 1.3k 1.6× 1.0k 1.7× 637 1.4× 332 0.9× 262 1.3× 69 2.4k
Osamu Samura Japan 21 943 1.2× 272 0.5× 327 0.7× 150 0.4× 310 1.6× 68 1.3k
Jannie van Echten‐Arends Netherlands 16 786 1.0× 324 0.5× 367 0.8× 199 0.5× 55 0.3× 26 1.3k
Miharu Yabe Japan 21 189 0.2× 134 0.2× 509 1.1× 71 0.2× 56 0.3× 84 1.3k
R.‐D. Wegner Germany 14 179 0.2× 155 0.3× 399 0.9× 114 0.3× 39 0.2× 32 724
M S Pollack United States 16 289 0.4× 410 0.7× 477 1.0× 76 0.2× 33 0.2× 36 1.2k
H. Behrendt Netherlands 24 293 0.4× 93 0.2× 325 0.7× 161 0.4× 26 0.1× 74 1.5k
Simona Cardaropoli Italy 21 340 0.4× 82 0.1× 178 0.4× 284 0.8× 63 0.3× 44 1.1k
Ashutosh Halder India 16 243 0.3× 166 0.3× 194 0.4× 121 0.3× 44 0.2× 84 684
L B Rall United States 15 103 0.1× 300 0.5× 744 1.6× 235 0.6× 78 0.4× 16 1.3k

Countries citing papers authored by Jon Sherlock

Since Specialization
Citations

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

Fields of papers citing papers by Jon Sherlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Sherlock

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Sherlock. A scholar is included among the top collaborators of Jon Sherlock 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 Jon Sherlock. Jon Sherlock 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.
Finn, Stephen P., Paul Smyth, Suzanne Cahill, et al.. (2007). Expression microarray analysis of papillary thyroid carcinoma and benign thyroid tissue: emphasis on the follicular variant and potential markers of malignancy. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 450(3). 249–260. 37 indexed citations
2.
Jong, Jeroen de, Hans Stoop, Ad Gillis, et al.. (2007). Further characterization of the first seminoma cell line TCam‐2. Genes Chromosomes and Cancer. 47(3). 185–196. 121 indexed citations
3.
García-Bermúdez, Mercedes, et al.. (2003). Single‐cell sequencing and mini‐sequencing for preimplantation genetic diagnosis. Prenatal Diagnosis. 23(8). 669–677. 17 indexed citations
4.
5.
Adinolfí, Matteo, Jon Sherlock, Vincenzo Cirigliano, & Barbara Pertl. (2000). Prenatal Screening for Aneuploidies by Quantitative Fluorescent Polymerase Chain Reaction. Public Health Genomics. 3(2). 50–60. 11 indexed citations
6.
Cirigliano, Vincenzo, et al.. (1999). Rapid detection of chromosomes X and Y aneuploidies by quantitative fluorescent PCR. Prenatal Diagnosis. 19(12). 1099–1103. 55 indexed citations
7.
Sherlock, Jon, Vincenzo Cirigliano, Mary Petrou, B. Tutschek, & Matteo Adinolfí. (1998). Assessment of quantitative fluorescent multiplex PCR performed on single cells. UCL Discovery (University College London). 2 indexed citations
8.
Sherlock, Jon, et al.. (1998). Assessment of diagnostic quantitative fluorescent multiplex polymerase chain reaction assays performed on single cells. Annals of Human Genetics. 62(1). 9–23. 46 indexed citations
9.
Wells, Dagan & Jon Sherlock. (1998). Strategies for preimplantation genetic diagnosis of single gene disorders by DNA amplification. Prenatal Diagnosis. 18(13). 1389–1401. 81 indexed citations
10.
Sherlock, Jon, Vincenzo Cirigliano, Mary Petrou, Daniel Wells, & Matteo Adinolfí. (1997). Detection of haemoglobinopathies and chromosome aneuploidy from minute DNA samples using multiplex PCR. UCL Discovery (University College London). 1 indexed citations
11.
Ruangvutilert, Pornpimol, et al.. (1997). A minimally invasive prenatal diagnosis technique for the collection of transcervical cells. UCL Discovery (University College London). 3 indexed citations
12.
Adinolfí, Matteo, Barbara Pertl, & Jon Sherlock. (1997). Rapid detection of aneuploidies by microsatellite and the quantitative fluorescent polymerase chain reaction. Prenatal Diagnosis. 17(13). 1299–1311. 4 indexed citations
13.
Adinolfí, Matteo, et al.. (1997). PRENATAL DETECTION OF Hb MUTATIONS USING TRANSCERVICAL CELLS. Prenatal Diagnosis. 17(6). 539–543. 16 indexed citations
14.
Sherlock, Jon, Darren K. Griffin, Joy Delhanty, & J M Parrington. (1996). Homologies between Human and Marmoset (Callithrix jacchus) Chromosomes Revealed by Comparative Chromosome Painting. Genomics. 33(2). 214–219. 63 indexed citations
15.
Pertl, Barbara, et al.. (1996). Rapid detection of trisomies 21 and 18 and sexing by quantitative fluorescent multiplex PCR. Human Genetics. 98(1). 55–59. 67 indexed citations
16.
Adinolfí, Matteo, Jon Sherlock, B. Tutschek, et al.. (1995). Detection of fetal cells in transcervical samples and prenatal diagnosis of chromosomal abnormalities. Prenatal Diagnosis. 15(10). 943–949. 48 indexed citations
17.
Adinolfí, Matteo, Jon Sherlock, & Barbara Pertl. (1995). Rapid detection of selected aneuploidies by quantitative fluorescent PCR. BioEssays. 17(7). 661–664. 36 indexed citations
18.
Rodeck, Charles H., B. Tutschek, Jon Sherlock, & John‏ Kingdom. (1995). Methods for the transcervical collection of fetal cells during the first trimester of pregnancy. Prenatal Diagnosis. 15(10). 933–942. 54 indexed citations
19.
Sherlock, Jon, et al.. (1995). Molecular evidence of fetal‐derived chromosome 21 markers (STRs) in transcervical samples. Prenatal Diagnosis. 15(1). 35–39. 26 indexed citations
20.
Pertl, Barbara, Shu C. Yau, Jon Sherlock, et al.. (1994). Rapid molecular method for prenatal detection of Down's syndrome. The Lancet. 343(8907). 1197–1198. 120 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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