Philip E. Johnson

2.5k citations
81 papers · 2k · h-index 25

Impact in

    • Enzyme Production and Characterization
    • Advanced biosensing and bioanalysis techniques
    • Protein Structure and Dynamics
    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms

Papers in

Philip E. Johnson

78 papers receiving 2k citations

Peers

Philip E. Johnson
Comparison fields: 5 of 76
  • Biotechnology 156
  • Molecular Biology 1.4k
  • Virology 72
  • Spectroscopy 132
  • Biomedical Engineering 229
Replace Anke Krebber with:
Anke Krebber Switzerland
Javier Gómez Spain
Yeon Gyu Yu South Korea
Heinz Welfle Germany
S. Raghothama India
Zhongping Tan United States
Kathleen L. Grant United States
Rocco Moretti United States
Michel Desmadril France
Gerald Böhm Germany
Philip E. Johnson relative to Anke Krebber Switzerland Anke Krebber's profile →
Citations per field
00.5×2×3×4×4.5×
Anke Krebber · 1×
Citations per year

Countries citing papers authored by Philip E. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Philip E. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philip E. Johnson, 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 E. Johnson Line = papers co-authored together Philip E. Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996210
2 1996107
3 2010103
4 2010100
5 201384
6 200080
7 200573
8 199669
9 200655
10 201149
11 201548
12 199646
13 201646
14 202046
15 200043
16 199842
17 199942
18 201737
19 201735
20 202335

About Philip E. Johnson

Philip E. Johnson is a scholar working on Molecular Biology, Physical and Theoretical Chemistry, Spectroscopy, Biotechnology and Biomedical Engineering, having authored 81 papers that have together received 2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (45 papers), DNA and Nucleic Acid Chemistry (16 papers), Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (9 papers), Biofuel production and bioconversion (8 papers), Polysaccharides and Plant Cell Walls (7 papers), thermodynamics and calorimetric analyses (5 papers) and Enzyme Production and Characterization (4 papers). The work is most often cited by research in Biotechnology (156 citations), Molecular Biology (1.4k citations), Virology (72 citations), Spectroscopy (132 citations) and Biomedical Engineering (229 citations). Philip E. Johnson has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Oren Reinstein, Lawrence P. McIntosh, Sladjana Slavkovic, Miguel A. D. Neves, Manish D. Joshi, Peter Tomme, Logan W. Donaldson, Douglas G. Kilburn, Stephen G. Withers and Michael Körner. Their work appears in journals such as Biochemistry, ChemBioChem, ACS Sensors, Biosensors and Bioelectronics and Analytical Chemistry.

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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