Philip Hedge

5.9k citations
18 papers · 1.4k · h-index 14

Impact in

    • Antibiotic Resistance in Bacteria
    • Melanoma and MAPK Pathways
    • Cell death mechanisms and regulation
    • Protein Kinase Regulation and GTPase Signaling
    • RNA and protein synthesis mechanisms

Papers in

Philip Hedge

18 papers receiving 1.4k citations

Peers

Philip Hedge
Comparison fields: 5 of 91
  • Molecular Medicine 207
  • Molecular Biology 931
  • Endocrinology 63
  • Genetics 332
  • Cell Biology 154
Replace Takahisa Shinomiya with:
Takahisa Shinomiya Japan
Amy J. Malhowski United States
Jeyanthy Eswaran United Kingdom
Moritz von Rechenberg Germany
Tongwu Zhang United States
Kenji Harada Japan
Jan Willem Kok Netherlands
Liane Mende‐Mueller United States
S. Rajagopalan United States
Takato Noumi Japan
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Citations per field
00.5×5.6×
Takahisa Shinomiya · 1×
Citations per year

Countries citing papers authored by Philip Hedge

Since Specialization
Citations

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

Fields of papers citing papers by Philip Hedge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1986414
2 1999208
3 1994172
4 1997146
5 1999132
6 199172
7 198552
8 198549
9 198833
10 198533
11 198525
12 198920
13 198420
14 199917
15 199013
16 19957
17 19926
18 19896

About Philip Hedge

Philip Hedge is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Pharmacology and Infectious Diseases, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Bacterial Genetics and Biotechnology (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Epigenetics and DNA Methylation (3 papers), Pancreatic function and diabetes (2 papers), Melanoma and MAPK Pathways (2 papers), Cancer therapeutics and mechanisms (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Molecular Medicine (207 citations), Molecular Biology (931 citations), Endocrinology (63 citations), Genetics (332 citations) and Cell Biology (154 citations). Philip Hedge has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Brian G. Spratt, Jenny K. Broome‐Smith, A. Edelman, Stephan te Heesen, Michel Goedert, Philip Cohen, Sabina Cosulich, Stephen Green, Paul R. Clarke and Neil Hewitt. Their work appears in journals such as Genomics, Protein Expression and Purification, Gene, Advances in experimental medicine and biology and Current Biology.

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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