Christina D. Tulbert
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Pathology and Forensic Medicine
- Endocrinology, Diabetes and Metabolism
- Co-authors
- David W. BusijaAllison W. MillerPrasad V. G. KatakamJames A. SnipesBenedek ErdősJames E. JordanApril E. RoncaHon-Chi Lee
- Topics
- Nitric Oxide and Endothelin Effects (4 papers)Cardiovascular Function and Risk Factors (3 papers)Biochemical effects in animals (2 papers)
- Journals
- HypertensionJournal of Pharmacology and Experimental TherapeuticsAmerican Journal of Physiology-Heart and Circulatory Physiology
- Partner nations
- United States
In The Last Decade
Christina D. Tulbert
11 papers receiving 527 citations
Peers
Comparison fields: 5 of 80
- Physiology 219
- Cardiology and Cardiovascular Medicine 178
- Molecular Biology 119
- Pathology and Forensic Medicine 108
- Endocrinology, Diabetes and Metabolism 82
Countries citing papers authored by Christina D. Tulbert
This map shows the geographic impact of Christina D. Tulbert'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 Christina D. Tulbert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina D. Tulbert more than expected).
Fields of papers citing papers by Christina D. Tulbert
This network shows the impact of papers produced by Christina D. Tulbert. 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 Christina D. Tulbert. The network helps show where Christina D. Tulbert may publish in the future.
Co-authorship network of co-authors of Christina D. Tulbert
This figure shows the co-authorship network connecting the top 25 collaborators of Christina D. Tulbert. A scholar is included among the top collaborators of Christina D. Tulbert 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 Christina D. Tulbert. Christina D. Tulbert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 16 | |
| 3 | 27 | |
| 4 | 107 | |
| 5 | 25 | |
| 6 | 80 | |
| 7 | 93 | |
| 8 | 17 | |
| 9 | 38 | |
| 10 | 41 | |
| 11 | 56 |
About Christina D. Tulbert
Christina D. Tulbert is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Physiology, having authored 11 papers that have together received 537 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Physiology (219 citations), Biochemistry (60 citations) and Cardiology and Cardiovascular Medicine (178 citations). Christina D. Tulbert has collaborated with scholars based in United States. Frequent co-authors include David W. Busija, Allison W. Miller, Prasad V. G. Katakam, James A. Snipes, Benedek Erdős, James E. Jordan, April E. Ronca, Hon-Chi Lee, Neal L. Weintraub and Justin L. Bollinger. Their work appears in journals such as Hypertension, Journal of Pharmacology and Experimental Therapeutics and American Journal of Physiology-Heart and Circulatory Physiology.
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.