P. L. Noble

20 total papers · 2.5k total citations
18 papers, 723 citations indexed

About

P. L. Noble is a scholar working on Pediatrics, Perinatology and Child Health, Surgery and Infectious Diseases. According to data from OpenAlex, P. L. Noble has authored 18 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pediatrics, Perinatology and Child Health, 6 papers in Surgery and 4 papers in Infectious Diseases. Recurrent topics in P. L. Noble's work include Prenatal Screening and Diagnostics (14 papers), Congenital Anomalies and Fetal Surgery (5 papers) and Parvovirus B19 Infection Studies (4 papers). P. L. Noble is often cited by papers focused on Prenatal Screening and Diagnostics (14 papers), Congenital Anomalies and Fetal Surgery (5 papers) and Parvovirus B19 Infection Studies (4 papers). P. L. Noble collaborates with scholars based in United Kingdom, United States and Switzerland. P. L. Noble's co-authors include K. H. Nicolaides, R. J. M. Snijders, Neil J. Sebire, S. Johnson, H. Abraha, Roy Sherwood, Euan M. Wallace, Kevin Spencer, Jon Hyett and Jonathan Hyett and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, BJOG An International Journal of Obstetrics & Gynaecology and Ultrasound in Obstetrics and Gynecology.

In The Last Decade

P. L. Noble

18 papers receiving 688 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
P. L. Noble	621	261	234	131	114	18	723
P. J. D. Milton	465 0.7×	189 0.7×	81 0.3×	332 2.5×	123 1.1×	18	886
B. Whitlow	557 0.9×	365 1.4×	175 0.7×	107 0.8×	104 0.9×	24	791
Karen Filkins	511 0.8×	169 0.6×	119 0.5×	226 1.7×	87 0.8×	28	678
A. Coumans	590 1.0×	94 0.4×	113 0.5×	205 1.6×	133 1.2×	31	869
Jens Bang	736 1.2×	312 1.2×	234 1.0×	63 0.5×	64 0.6×	26	898
Meredith Rochon	488 0.8×	185 0.7×	156 0.7×	207 1.6×	150 1.3×	32	824
Berkowitz Rl	465 0.7×	202 0.8×	53 0.2×	350 2.7×	167 1.5×	24	812
Ann Tonks	451 0.7×	268 1.0×	46 0.2×	304 2.3×	66 0.6×	22	798
S. Faiola	795 1.3×	248 1.0×	261 1.1×	235 1.8×	128 1.1×	44	908
Patrick Mohide	403 0.6×	108 0.4×	58 0.2×	245 1.9×	130 1.1×	26	652

Countries citing papers authored by P. L. Noble

Since Specialization

Citations

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

Fields of papers citing papers by P. L. Noble

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. L. Noble. 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 P. L. Noble. The network helps show where P. L. Noble may publish in the future.

Co-authorship network of co-authors of P. L. Noble

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

All Works

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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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