Nancy E. Stagliano
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Physiology top 5%
- Co-authors
- Michael J. DonovanRoger E. BreitbartSusan ActonKeith RobisonMichael GosselinKevin GodboutMary DonoghueRaju Jeyaseelan
- Topics
- Cerebrovascular and Carotid Artery Diseases (4 papers)Nitric Oxide and Endothelin Effects (3 papers)Neuroscience and Neuropharmacology Research (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismInfectious Diseases
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Nancy E. Stagliano
22 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cardiology and Cardiovascular Medicine 1.4k
- Molecular Biology 1.2k
- Infectious Diseases 892
- Endocrinology, Diabetes and Metabolism 813
- Physiology 498
Countries citing papers authored by Nancy E. Stagliano
This map shows the geographic impact of Nancy E. Stagliano'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 Nancy E. Stagliano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy E. Stagliano more than expected).
Fields of papers citing papers by Nancy E. Stagliano
This network shows the impact of papers produced by Nancy E. Stagliano. 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 Nancy E. Stagliano. The network helps show where Nancy E. Stagliano may publish in the future.
Co-authorship network of co-authors of Nancy E. Stagliano
This figure shows the co-authorship network connecting the top 25 collaborators of Nancy E. Stagliano. A scholar is included among the top collaborators of Nancy E. Stagliano 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 Nancy E. Stagliano. Nancy E. Stagliano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 170 | |
| 2 | 109 | |
| 3 | 8 | |
| 4 | 24 | |
| 5 | 25 | |
| 6 | 38 | |
| 7 | 5 | |
| 8 | 24 | |
| 9 | 211 | |
| 10 | 71 | |
| 11 | 10 | |
| 12 | 191 | |
| 13 | 279 | |
| 14 | A Novel Angiotensin-Converting Enzyme–Related Carboxypeptidase (ACE2) Converts Angiotensin I to Angiotensin 1-9breakdown → | 2380 |
| 15 | 31 | |
| 16 | 126 | |
| 17 | 116 | |
| 18 | 24 | |
| 19 | 69 | |
| 20 | 31 |
About Nancy E. Stagliano
Nancy E. Stagliano is a scholar working on Hematology, Genetics and Cancer Research, having authored 22 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (4 papers), Nitric Oxide and Endothelin Effects (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Endocrinology, Diabetes and Metabolism (813 citations) and Infectious Diseases (892 citations). Nancy E. Stagliano has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Michael J. Donovan, Roger E. Breitbart, Susan Acton, Keith Robison, Michael Gosselin, Kevin Godbout, Mary Donoghue, Raju Jeyaseelan, F. Hsieh and Michael A. Moskowitz. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology 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.