Phil Callow

419 citations
9 papers · 333 · h-index 8

Impact in

    • Estrogen and related hormone effects
    • Bacterial Genetics and Biotechnology
    • Silk-based biomaterials and applications

Papers in

    • DNA and Nucleic Acid Chemistry 3
    • Protein Structure and Dynamics 3
    • RNA and protein synthesis mechanisms 2
    • Ubiquitin and proteasome pathways 1
    • Epigenetics and DNA Methylation 1
    • Enzyme Structure and Function 3

Phil Callow

9 papers receiving 331 citations

Peers

Phil Callow
Comparison fields: 5 of 68
  • Genetics 107
  • Biomaterials 48
  • Molecular Biology 240
  • Molecular Medicine 10
  • Immunology and Allergy 11
Replace Lili Peng with:
Lili Peng China
Michael Breslav United States
Natsuko Matsuda Japan
Jorge P. López‐Alonso Spain
Anna Hills United Kingdom
Rémy Bailly France
Rebecca J. Burnley United Kingdom
Jared C. Cochran United States
Chawita Netirojjanakul United States
Michael Garton Canada
Phil Callow relative to Lili Peng China Lili Peng's profile →
Citations per field
00.5×3.3×
Lili Peng · 1×
Citations per year

Countries citing papers authored by Phil Callow

Since Specialization
Citations

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

Fields of papers citing papers by Phil Callow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2011148
2 201147
3 201046
4 201524
5 200922
6 200820
7 201011
8 20108
9 20117

About Phil Callow

Phil Callow is a scholar working on Molecular Biology, Materials Chemistry, Genetics, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 333 indexed citations. Recurring topics across this work include Enzyme Structure and Function (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (2 papers), Blood properties and coagulation (1 paper), Estrogen and related hormone effects (1 paper), Ubiquitin and proteasome pathways (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Genetics (107 citations), Biomaterials (48 citations), Molecular Biology (240 citations), Molecular Medicine (10 citations) and Immunology and Allergy (11 citations). Phil Callow has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Dmitri I. Svergun, Michael Haertlein, Yves Mély, Natacha Rochel, Fabrice Ciesielski, Dino Moras, Manfred Roessle, Martine Moulin, Carole Peluso‐Iltis and Julien Godet. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, European Biophysics Journal, Nature Structural & Molecular Biology and Soft Matter.

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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