John Philip

107 total papers · 3.3k total citations
84 papers, 2.3k citations indexed

About

John Philip is a scholar working on Pediatrics, Perinatology and Child Health, Genetics and Surgery. According to data from OpenAlex, John Philip has authored 84 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Pediatrics, Perinatology and Child Health, 30 papers in Genetics and 17 papers in Surgery. Recurrent topics in John Philip's work include Prenatal Screening and Diagnostics (37 papers), Genomic variations and chromosomal abnormalities (18 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers). John Philip is often cited by papers focused on Prenatal Screening and Diagnostics (37 papers), Genomic variations and chromosomal abnormalities (18 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers). John Philip collaborates with scholars based in Denmark, United States and Poland. John Philip's co-authors include Jens Bang, Shiv K. Sharma, Ann Tabor, Mette Madsen, Vijaya Gottumukkala, Jackie Wiley, Claes Lundsteen, Britta Christensen, V. Sele and Charles W. Whitten and has published in prestigious journals such as Science, The Lancet and The Journal of Experimental Medicine.

In The Last Decade

John Philip

83 papers receiving 2.1k citations

Hit Papers

RANDOMISED CONTROLLED TRI... 1986 2026 1999 2012 1986 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
John Philip 1.1k 577 553 412 252 84 2.3k
Donald G. McKay 297 0.3× 237 0.4× 390 0.7× 378 0.9× 96 0.4× 82 2.8k
Muin J. Khoury 405 0.4× 696 1.2× 393 0.7× 429 1.0× 128 0.5× 41 2.3k
B. Carbonne 1.4k 1.2× 151 0.3× 254 0.5× 322 0.8× 140 0.6× 159 3.0k
Rolf F. Maier 1.3k 1.2× 90 0.2× 359 0.6× 298 0.7× 63 0.3× 127 3.2k
François Forestier 691 0.6× 203 0.4× 251 0.5× 160 0.4× 365 1.4× 44 2.1k
Jun Zhang 1.3k 1.2× 246 0.4× 249 0.5× 784 1.9× 466 1.8× 59 2.8k
A. D. Bain 388 0.3× 291 0.5× 368 0.7× 437 1.1× 69 0.3× 83 1.7k
Arjumand S. Warsy 358 0.3× 285 0.5× 248 0.4× 376 0.9× 32 0.1× 127 2.5k
Mario Motta 226 0.2× 192 0.3× 213 0.4× 133 0.3× 68 0.3× 103 2.0k
Anthony R. Gregg 1.7k 1.5× 642 1.1× 249 0.5× 389 0.9× 307 1.2× 96 3.2k

Countries citing papers authored by John Philip

Since Specialization
Citations

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

Fields of papers citing papers by John Philip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Philip

This figure shows the co-authorship network connecting the top 25 collaborators of John Philip. A scholar is included among the top collaborators of John Philip 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 John Philip. John Philip 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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