Helen Reddy
Impact in
- Molecular Biology top 1%
- Protein Kinase Regulation and GTPase Signaling
- Receptor Mechanisms and Signaling
- PI3K/AKT/mTOR signaling in cancer
- Melanoma and MAPK Pathways
- Ion channel regulation and function
- Metabolism, Diabetes, and Cancer
- Cell Biology top 1%
Papers in
-
- Neuropeptides and Animal Physiology 5
- Co-authors
- Stephen DaviesMatilde CaivanoPhilip CohenN. WatsonRichard M. EglenR. A. John ChallissStefania SarnoDavid Shugar
- Journals
- European Journal of Pharmacology (3 papers)Biochemical Journal (2 papers)Nurse Education in Practice (2 papers)FEBS Letters (1 paper)British Journal of Pharmacology (1 paper)
- Partner nations
- United KingdomPolandUnited States
In The Last Decade
Helen Reddy
14 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 5.1k
- Cell Biology 881
- Cellular and Molecular Neuroscience 966
- Immunology and Allergy 254
- Immunology 792
Countries citing papers authored by Helen Reddy
This map shows the geographic impact of Helen Reddy'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 Helen Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Reddy more than expected).
Fields of papers citing papers by Helen Reddy
This network shows the impact of papers produced by Helen Reddy. 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 Helen Reddy. The network helps show where Helen Reddy may publish in the future.
Co-authors
The 25 scholars most cited alongside Helen Reddy, 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 | 2020 | 8 | |
| 2 | 2017 | 6 | |
| 3 | 2002 | 2 | |
| 4 | 2001 | 315 | |
| 5 | Continuing medical education. What do Minnesota physicians want? | 2001 | 15 |
| 6 | Specificity and mechanism of action of some commonly used protein kinase inhibitors Hit paper breakdown → | 2000 | 3687 |
| 7 | Specificity and mechanism of action of some commonly used protein kinase inhibitors Hit paper breakdown → | 2000 | 2885 |
| 8 | 1995 | 57 | |
| 9 | 1995 | 19 | |
| 10 | 1995 | 7 | |
| 11 | 1995 | 9 | |
| 12 | 1995 | 20 | |
| 13 | 1994 | 194 | |
| 14 | 1994 | 33 |
About Helen Reddy
Helen Reddy is a scholar working on Family Practice, Cellular and Molecular Neuroscience, Physiology, Speech and Hearing and Molecular Biology, having authored 14 papers that have together received 7.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (5 papers), Ion channel regulation and function (4 papers), Melanoma and MAPK Pathways (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Asthma and respiratory diseases (2 papers) and Simulation-Based Education in Healthcare (2 papers). The work is most often cited by research in Molecular Biology (5.1k citations), Cell Biology (881 citations), Cellular and Molecular Neuroscience (966 citations), Immunology and Allergy (254 citations) and Immunology (792 citations). Helen Reddy has collaborated with scholars based in United Kingdom, Poland and United States. Frequent co-authors include Stephen Davies, Matilde Caivano, Philip Cohen, N. Watson, Richard M. Eglen, R. A. John Challiss, Stefania Sarno, David Shugar, Flavio Meggio and Lorenzo A. Pinna. Their work appears in journals such as European Journal of Pharmacology, Biochemical Journal, Nurse Education in Practice, FEBS Letters and British Journal of Pharmacology.
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.