Philip J. Day

11.0k citations
156 papers · 6.5k · 2 hit papers · h-index 45

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 21
    • RNA and protein synthesis mechanisms 14
    • Molecular Biology Techniques and Applications 11
    • Microfluidic and Bio-sensing Technologies 15
    • Microfluidic and Capillary Electrophoresis Applications 13
    • Innovative Microfluidic and Catalytic Techniques Innovation 10

Philip J. Day

153 papers receiving 6.4k citations

Philip J. Day's Hit Papers

Directed evolution of an efficient and thermostable PET depolymerase 2022 · 281 citations
2810+7+14Years since publication200400600

Peers

Philip J. Day
Comparison fields: 5 of 176
  • Pharmacology 551
  • Biotechnology 526
  • Molecular Biology 2.8k
  • Immunology 777
  • Biological Psychiatry 81
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Citations per field
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Citations per year

Countries citing papers authored by Philip J. Day

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philip J. Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philip J. Day Line = papers co-authored together Philip J. Day links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Crystal Structures of Human Cytochrome P450 3A4 Bound to Metyrapone and Progesterone
Hit paper breakdown →
2004654
2
Directed evolution of an efficient and thermostable PET depolymerase
Hit paper breakdown →
2022281
3 2014276
4 2009213
5 2014202
6 2009176
7 2004173
8 2003171
9 2007152
10 2013116
11 2009112
12 2013107
13 2002105
14 199198
15 200091
16 200189
17 200887
18 199782
19 200176
20 201374

About Philip J. Day

Philip J. Day is a scholar working on Molecular Biology, Biomedical Engineering, Epidemiology, Immunology and Rheumatology, having authored 156 papers that have together received 6.5k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (21 papers), Microfluidic and Bio-sensing Technologies (15 papers), RNA and protein synthesis mechanisms (14 papers), Toxin Mechanisms and Immunotoxins (14 papers), Microfluidic and Capillary Electrophoresis Applications (13 papers), Transgenic Plants and Applications (11 papers), Molecular Biology Techniques and Applications (11 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (10 papers). The work is most often cited by research in Pharmacology (551 citations), Biotechnology (526 citations), Molecular Biology (2.8k citations), Immunology (777 citations) and Biological Psychiatry (81 citations). Philip J. Day has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Douglas B. Kell, A. Manz, Ian J. Tickle, Pamela A. Williams, Andrew Currin, Harren Jhoti, Neil Swainston, Alison Ward, Ardeshir Bayat and Dijana Matak‐Vinković. Their work appears in journals such as Integrative Biology, Analytical Biochemistry, Biochemistry, Nucleic Acids Research and Journal of Clinical Microbiology.

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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