Chris Higgins
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Molecular Medicine top 10%
Papers in
-
- RNA and protein synthesis mechanisms 3
- Protein Hydrolysis and Bioactive Peptides 2
- Genetics 6
- Bacterial Genetics and Biotechnology 5
- Co-authors
- J. W. Payne (6 shared papers)G F Ames (3 shared papers)Galo García (1 shared paper)Feroza Ardeshir (1 shared paper)Kishiko Nikaido (1 shared paper)David H. Boxer (2 shared papers)Mario Dı́az (1 shared paper)Francisco V. Sepúlveda (1 shared paper)
- Journals
- Planta (5 papers)Nature (4 papers)Journal of Bacteriology (3 papers)Pflügers Archiv - European Journal of Physiology (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Chris Higgins
21 papers receiving 945 citations
Peers
Comparison fields: 5 of 85
- Biochemistry 108
- Molecular Medicine 65
- Genetics 320
- Endocrinology 46
- Molecular Biology 595
Countries citing papers authored by Chris Higgins
This map shows the geographic impact of Chris Higgins'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 Chris Higgins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Higgins more than expected).
Fields of papers citing papers by Chris Higgins
This network shows the impact of papers produced by Chris Higgins. 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 Chris Higgins. The network helps show where Chris Higgins may publish in the future.
Co-authors
The 19 scholars most cited alongside Chris Higgins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 285 | |
| 2 | 1993 | 123 | |
| 3 | 1983 | 73 | |
| 4 | 1986 | 66 | |
| 5 | 1982 | 56 | |
| 6 | 1992 | 55 | |
| 7 | 1982 | 45 | |
| 8 | 1986 | 42 | |
| 9 | 1977 | 39 | |
| 10 | 1978 | 39 | |
| 11 | 1977 | 30 | |
| 12 | 1977 | 29 | |
| 13 | 1978 | 29 | |
| 14 | 1990 | 27 | |
| 15 | 1989 | 21 | |
| 16 | 1987 | 21 | |
| 17 | 1989 | 20 | |
| 18 | 1978 | 19 | |
| 19 | THE CONSEQUENCES OF THE LIBERALISED UK-EUROPE BILATERAL AIR SERVICE AGREEMENTS. | 1993 | 3 |
| 20 | 1996 | 3 |
About Chris Higgins
Chris Higgins is a scholar working on Molecular Biology, Genetics, Plant Science, Materials Chemistry and Oncology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Phytase and its Applications (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers), Enzyme Structure and Function (3 papers), Plant nutrient uptake and metabolism (2 papers) and Protein Hydrolysis and Bioactive Peptides (2 papers). The work is most often cited by research in Biochemistry (108 citations), Molecular Medicine (65 citations), Genetics (320 citations), Endocrinology (46 citations) and Molecular Biology (595 citations). Chris Higgins has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include J. W. Payne, G F Ames, Galo García, Feroza Ardeshir, Kishiko Nikaido, David H. Boxer, Mario Dı́az, Francisco V. Sepúlveda, Miguel A. Valverde and R. Gary Sawers. Their work appears in journals such as Planta, Nature, Journal of Bacteriology, Pflügers Archiv - European Journal of Physiology and Molecular 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.