Suzanne M. Delaney
- Cognitive Neuroscience top 2%
- Developmental and Educational Psychology top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Experimental and Cognitive Psychology top 5%
- Hematology top 5%
- Co-authors
- Daniel L. SchacterLynn A. CooperLaura C. BellCharles A. PerfettiJonathan D. GeigerPamela B. ConleyMary A. PetersonDavid R. Phillips
- Topics
- Adenosine and Purinergic Signaling (10 papers)Platelet Disorders and Treatments (5 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Partner nations
- United StatesCanadaIran
In The Last Decade
Suzanne M. Delaney
38 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 126
- Cognitive Neuroscience 728
- Developmental and Educational Psychology 476
- Cardiology and Cardiovascular Medicine 264
- Experimental and Cognitive Psychology 264
- Hematology 239
Countries citing papers authored by Suzanne M. Delaney
This map shows the geographic impact of Suzanne M. Delaney'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 Suzanne M. Delaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne M. Delaney more than expected).
Fields of papers citing papers by Suzanne M. Delaney
This network shows the impact of papers produced by Suzanne M. Delaney. 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 Suzanne M. Delaney. The network helps show where Suzanne M. Delaney may publish in the future.
Co-authorship network of co-authors of Suzanne M. Delaney
This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne M. Delaney. A scholar is included among the top collaborators of Suzanne M. Delaney based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suzanne M. Delaney. Suzanne M. Delaney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 91 | |
| 2 | 3 | |
| 3 | 269 | |
| 4 | 55 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 19 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 82 | |
| 13 | 23 | |
| 14 | 12 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 10 | |
| 19 | 179 | |
| 20 | 276 |
About Suzanne M. Delaney
Suzanne M. Delaney is a scholar working on Physiology, Internal Medicine and Hematology, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (10 papers), Platelet Disorders and Treatments (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Physiology (216 citations), Developmental and Educational Psychology (476 citations) and Cognitive Neuroscience (728 citations). Suzanne M. Delaney has collaborated with scholars based in United States, Canada and Iran. Frequent co-authors include Daniel L. Schacter, Lynn A. Cooper, Laura C. Bell, Charles A. Perfetti, Jonathan D. Geiger, Pamela B. Conley, Mary A. Peterson, David R. Phillips, Patrick André and D Vincent. Their work appears in journals such as Circulation, Journal of Clinical Investigation and Blood.
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.