John D. Phillips

9.4k total citations
176 papers, 5.5k citations indexed

About

John D. Phillips is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Genetics. According to data from OpenAlex, John D. Phillips has authored 176 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Molecular Biology, 45 papers in Pediatrics, Perinatology and Child Health and 20 papers in Genetics. Recurrent topics in John D. Phillips's work include Porphyrin Metabolism and Disorders (75 papers), Heme Oxygenase-1 and Carbon Monoxide (57 papers) and Neonatal Health and Biochemistry (44 papers). John D. Phillips is often cited by papers focused on Porphyrin Metabolism and Disorders (75 papers), Heme Oxygenase-1 and Carbon Monoxide (57 papers) and Neonatal Health and Biochemistry (44 papers). John D. Phillips collaborates with scholars based in United States, United Kingdom and Japan. John D. Phillips's co-authors include James P. Kushner, Richard S. Ajioka, Mansel W. Griffiths, D. D. Muir, Yang Yu, Bing Guo, Elizabeth A. Leibold, Michael R. Franklin, Harry A. Dailey and Christopher P. Hill and has published in prestigious journals such as Nature, New England Journal of Medicine and Cell.

In The Last Decade

John D. Phillips

169 papers receiving 5.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John D. Phillips United States 40 3.3k 891 767 629 607 176 5.5k
Paolo Arese Italy 41 1.4k 0.4× 705 0.8× 886 1.2× 949 1.5× 217 0.4× 138 6.5k
Keisuke Miyazawa Japan 43 2.4k 0.7× 1.0k 1.1× 55 0.1× 541 0.9× 555 0.9× 196 5.6k
John J. Hutton United States 45 3.0k 0.9× 464 0.5× 228 0.3× 540 0.9× 150 0.2× 126 5.5k
Paul G. Ekert Australia 41 5.9k 1.8× 713 0.8× 255 0.3× 346 0.6× 204 0.3× 128 8.3k
Mark J. Arends United Kingdom 51 5.4k 1.6× 420 0.5× 109 0.1× 165 0.3× 199 0.3× 193 9.8k
Samson T. Jacob United States 51 8.2k 2.4× 271 0.3× 122 0.2× 170 0.3× 672 1.1× 195 11.0k
Melanie Ehrlich United States 52 10.3k 3.1× 215 0.2× 605 0.8× 309 0.5× 90 0.1× 176 12.2k
R G Deeley Canada 40 3.6k 1.1× 243 0.3× 1.7k 2.3× 224 0.4× 763 1.3× 60 8.3k
Jinghui Zhang United States 42 3.5k 1.0× 760 0.9× 611 0.8× 417 0.7× 78 0.1× 218 6.4k
Ebrahim Zandi United States 32 6.1k 1.8× 244 0.3× 63 0.1× 193 0.3× 298 0.5× 47 11.2k

Countries citing papers authored by John D. Phillips

Since Specialization
Citations

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

Fields of papers citing papers by John D. Phillips

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John D. Phillips

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Phillips. A scholar is included among the top collaborators of John D. Phillips 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 D. Phillips. John D. Phillips 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.
McEntagart, Meriel, et al.. (2025). P762: Empowering geneticists to do genomic reanalysis routinely. Genetics in Medicine Open. 3. 103131–103131.
2.
Schwartz, J.C., Colin Farrell, Graham Freimanis, et al.. (2024). A genome assembly and transcriptome atlas of the inbred Babraham pig to illuminate porcine immunogenetic variation. Immunogenetics. 76(5-6). 361–380. 1 indexed citations
3.
Lee, Catherine J., et al.. (2023). Efficacy and Safety of Processed Amniotic Fluid (pAF) Drops for the Treatment of Ocular Chronic Graft-Versus-Host Disease. Blood. 142(Supplement 1). 3563–3563. 1 indexed citations
4.
5.
Jackson, Laurie K., et al.. (2023). Exploiting Differences in Heme Biosynthesis between Bacterial Species to Screen for Novel Antimicrobials. Biomolecules. 13(10). 1485–1485. 5 indexed citations
6.
Chambers, Ian G., Praveen Kumar, Jens Lichtenberg, et al.. (2022). MRP5 and MRP9 play a concerted role in male reproduction and mitochondrial function. Proceedings of the National Academy of Sciences. 119(6). 15 indexed citations
7.
8.
Crowther, Michael D., Garry Dolton, Mateusz Legut, et al.. (2020). Genome-wide CRISPR–Cas9 screening reveals ubiquitous T cell cancer targeting via the monomorphic MHC class I-related protein MR1. Nature Immunology. 21(2). 178–185. 166 indexed citations
9.
Balwani, Manisha, Bruce Wang, Karl E. Anderson, et al.. (2017). Acute hepatic porphyrias: Recommendations for evaluation and long‐term management. Hepatology. 66(4). 1314–1322. 106 indexed citations
10.
Yuan, Xiaojing, Nicole Rietzschel, Hanna Kwon, et al.. (2016). Regulation of intracellular heme trafficking revealed by subcellular reporters. Proceedings of the National Academy of Sciences. 113(35). E5144–52. 101 indexed citations
11.
Bergonia, Hector A., Michael R. Franklin, James P. Kushner, & John D. Phillips. (2015). A method for determining δ-aminolevulinic acid synthase activity in homogenized cells and tissues. Clinical Biochemistry. 48(12). 788–795. 12 indexed citations
12.
Bonkovsky, Herbert L., Vinaya C. Maddukuri, Cemal Yazıcı, et al.. (2014). Acute Porphyrias in the USA: Features of 108 Subjects from Porphyrias Consortium. The American Journal of Medicine. 127(12). 1233–1241. 173 indexed citations
13.
14.
Dailey, Harry A., Alecia N. Septer, Svetlana Gerdes, et al.. (2011). The Escherichia coli Protein YfeX Functions as a Porphyrinogen Oxidase, Not a Heme Dechelatase. mBio. 2(6). e00248–11. 43 indexed citations
15.
Bergeron, Michel G., et al.. (2009). Longitudinal study of a mouse model of familial porphyria cutanea tarda.. PubMed. 55(2). 46–54. 1 indexed citations
16.
Phillips, John D., David P. Steensma, Michael A. Pulsipher, Gerald J. Spangrude, & James P. Kushner. (2006). Congenital erythropoietic porphyria due to a mutation in GATA1: the first trans-acting mutation causative for a human porphyria. Blood. 109(6). 2618–2621. 102 indexed citations
17.
Ajioka, Richard S., John D. Phillips, & James P. Kushner. (2006). Biosynthesis of heme in mammals. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1763(7). 723–736. 365 indexed citations
18.
Schubert, Heidi, John D. Phillips, & Christopher P. Hill. (2003). Structures along the Catalytic Pathway of PrmC/HemK, an N 5 -Glutamine AdoMet-Dependent Methyltransferase. Biochemistry. 42(19). 5592–5599. 51 indexed citations
19.
Griffiths, Mansel W. & John D. Phillips. (1990). Strategies to control the outgrowth of spores of psychrotrophic Bacillus spp. in dairy products. I. Use of naturally-occurring materials.. Milk science international/Milchwissenschaft. 45(10). 621–626. 5 indexed citations
20.
Phillips, John D., Mansel W. Griffiths, Jerome O. Nriagu, & Mustafa Simmons. (1990). Pasteurized dairy products : the constraints imposed by environemental contamination. 23(4). 387–454. 18 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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