Philip Hedge
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Molecular Biology top 10%
- Melanoma and MAPK Pathways
- Cell death mechanisms and regulation
- RNA and protein synthesis mechanisms
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Epigenetics and DNA Methylation 3
- Cell death mechanisms and regulation 2
- Melanoma and MAPK Pathways 2
- Cancer therapeutics and mechanisms 2
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- Antibiotic Resistance in Bacteria 5
- Co-authors
- Brian G. Spratt (5 shared papers)Jenny K. Broome‐Smith (2 shared papers)A. Edelman (1 shared paper)Stephan te Heesen (1 shared paper)Michel Goedert (2 shared papers)Philip Cohen (1 shared paper)Paul R. Clarke (1 shared paper)Sabina Cosulich (1 shared paper)
- Journals
- Genomics (3 papers)Gene (1 paper)Current Biology (1 paper)Human Genetics (1 paper)Journal of the Chemical Society Perkin Transactions 1 (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Philip Hedge
18 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Molecular Medicine 205
- Molecular Biology 909
- Genetics 329
- Endocrinology 61
- Cell Biology 154
Countries citing papers authored by Philip Hedge
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 414 | |
| 2 | 1999 | 210 | |
| 3 | 1994 | 173 | |
| 4 | 1997 | 145 | |
| 5 | 1999 | 132 | |
| 6 | 1991 | 72 | |
| 7 | 1985 | 53 | |
| 8 | 1985 | 49 | |
| 9 | 1988 | 33 | |
| 10 | 1985 | 33 | |
| 11 | 1985 | 25 | |
| 12 | 1984 | 20 | |
| 13 | 1989 | 20 | |
| 14 | 1999 | 17 | |
| 15 | 1990 | 13 | |
| 16 | 1995 | 7 | |
| 17 | 1989 | 6 | |
| 18 | 1992 | 6 |
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), Antibiotics Pharmacokinetics and Efficacy (3 papers), Epigenetics and DNA Methylation (3 papers), Bacterial Genetics and Biotechnology (3 papers), Cell death mechanisms and regulation (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 (205 citations), Molecular Biology (909 citations), Genetics (329 citations), Endocrinology (61 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, Paul R. Clarke, Sabina Cosulich, Neil Hewitt and Stephen Green. Their work appears in journals such as Genomics, Gene, Current Biology, Human Genetics and Journal of the Chemical Society Perkin Transactions 1.
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.