Mark G. Darlison
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research
- Biochemistry top 0.5%
- Biochemical Acid Research Studies
Papers in
-
- Neuroscience and Neuropharmacology Research 44
- Neurobiology and Insect Physiology Research 10
- Co-authors
- Eric A. BarnardPene J. BarnardPiotr SicińskiYan GengPeter R. SchofieldPeter H. SeeburgNorihisa FujitaVictoria L. Harvey
- Journals
- Journal of Neurochemistry (7 papers)Biochemical Society Transactions (6 papers)European Journal of Biochemistry (5 papers)European Journal of Neuroscience (4 papers)Nucleic Acids Research (4 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Mark G. Darlison
97 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Cellular and Molecular Neuroscience 3.3k
- Biochemistry 594
- Molecular Biology 4.8k
- Clinical Biochemistry 409
- Biological Psychiatry 99
Countries citing papers authored by Mark G. Darlison
This map shows the geographic impact of Mark G. Darlison'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 Mark G. Darlison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark G. Darlison more than expected).
Fields of papers citing papers by Mark G. Darlison
This network shows the impact of papers produced by Mark G. Darlison. 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 Mark G. Darlison. The network helps show where Mark G. Darlison may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark G. Darlison, 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 | 2013 | 6 | |
| 2 | 2005 | 48 | |
| 3 | 2005 | 28 | |
| 4 | 1998 | 15 | |
| 5 | 1996 | 9 | |
| 6 | 1995 | 6 | |
| 7 | 1995 | 37 | |
| 8 | 1995 | 4 | |
| 9 | 1994 | 53 | |
| 10 | 1993 | 11 | |
| 11 | 1993 | 7 | |
| 12 | 1993 | 12 | |
| 13 | 1992 | 38 | |
| 14 | 1992 | 14 | |
| 15 | 1991 | 36 | |
| 16 | 1991 | 126 | |
| 17 | 1990 | 25 | |
| 18 | 1990 | 65 | |
| 19 | 1989 | 50 | |
| 20 | 1988 | 141 |
About Mark G. Darlison
Mark G. Darlison is a scholar working on Cellular and Molecular Neuroscience, Developmental Biology, Microbiology, Nutrition and Dietetics and Developmental Neuroscience, having authored 98 papers that have together received 6.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (44 papers), GABA and Rice Research (17 papers), Nicotinic Acetylcholine Receptors Study (17 papers), Biochemical Analysis and Sensing Techniques (16 papers), RNA and protein synthesis mechanisms (13 papers), Receptor Mechanisms and Signaling (12 papers), Ion channel regulation and function (11 papers) and Neurobiology and Insect Physiology Research (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.3k citations), Biochemistry (594 citations), Molecular Biology (4.8k citations), Clinical Biochemistry (409 citations) and Biological Psychiatry (99 citations). Mark G. Darlison has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Eric A. Barnard, Pene J. Barnard, Piotr Siciński, Yan Geng, Peter R. Schofield, Peter H. Seeburg, Norihisa Fujita, Victoria L. Harvey, Paul E. Stephens and David R. Burt. Their work appears in journals such as Journal of Neurochemistry, Biochemical Society Transactions, European Journal of Biochemistry, European Journal of Neuroscience and Nucleic Acids Research.
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.