Susan Forda
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Physiology top 5%
- Adenosine and Purinergic Signaling
Papers in
-
- Neuroscience and Neuropharmacology Research 8
- Photoreceptor and optogenetics research 4
- Neuroscience and Neural Engineering 2
- Nerve injury and regeneration 1
- Neuropeptides and Animal Physiology 1
-
- Ion channel regulation and function 5
- Lipid Membrane Structure and Behavior 1
- Co-authors
- John Kelly (8 shared papers)Vincenzo Crunelli (5 shared papers)Annette Dolphin (2 shared papers)Roderick H. Scott (1 shared paper)S. A. Prestwich (1 shared paper)Graham L. Collingridge (1 shared paper)C. A. Pasternak (1 shared paper)Kingsley Micklem (1 shared paper)
- Journals
- The Journal of Physiology (3 papers)Brain Research (2 papers)Nature (1 paper)Developmental Brain Research (1 paper)Trends in Neurosciences (1 paper)
- Partner nations
- United KingdomCanada
In The Last Decade
Susan Forda
10 papers receiving 540 citations
Peers
Comparison fields: 5 of 60
- Cellular and Molecular Neuroscience 478
- Physiology 86
- Molecular Biology 381
- Cognitive Neuroscience 99
- Developmental Neuroscience 21
Countries citing papers authored by Susan Forda
This map shows the geographic impact of Susan Forda'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 Susan Forda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan Forda more than expected).
Fields of papers citing papers by Susan Forda
This network shows the impact of papers produced by Susan Forda. 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 Susan Forda. The network helps show where Susan Forda may publish in the future.
Co-authors
The 13 scholars most cited alongside Susan Forda, 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 | 207 | |
| 2 | 1983 | 109 | |
| 3 | 1984 | 60 | |
| 4 | 1982 | 38 | |
| 5 | 1987 | 33 | |
| 6 | 1983 | 32 | |
| 7 | 1985 | 29 | |
| 8 | 1982 | 28 | |
| 9 | 1985 | 26 | |
| 10 | 1982 | 16 |
About Susan Forda
Susan Forda is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Physiology and Physiology, having authored 10 papers that have together received 578 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Ion channel regulation and function (5 papers), Photoreceptor and optogenetics research (4 papers), Neuroscience and Neural Engineering (2 papers), Nerve injury and regeneration (1 paper), Lipid Membrane Structure and Behavior (1 paper), Neuropeptides and Animal Physiology (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (478 citations), Physiology (86 citations), Molecular Biology (381 citations), Cognitive Neuroscience (99 citations) and Developmental Neuroscience (21 citations). Susan Forda has collaborated with scholars based in United Kingdom and Canada. Frequent co-authors include John Kelly, Vincenzo Crunelli, Annette Dolphin, Roderick H. Scott, S. A. Prestwich, Graham L. Collingridge, C. A. Pasternak, Kingsley Micklem, Glenda Gillies and P.A. Brooks. Their work appears in journals such as The Journal of Physiology, Brain Research, Nature, Developmental Brain Research and Trends in Neurosciences.
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.