Mark C. Chappell
- Cardiology and Cardiovascular Medicine top 0.1%
- Endocrinology, Diabetes and Metabolism top 0.1%
- Molecular Biology top 2%
- Infectious Diseases top 0.5%
- Pharmacology top 0.2%
- Co-authors
- Carlos M. FerrarioDebra I. DizK. Bridget BrosnihanPatricia E. GallagherDavid B. AverillE. Ann TallantJewell A. JessupAndrew M. South
- Topics
- Renin-Angiotensin System Studies (126 papers)Hormonal Regulation and Hypertension (92 papers)Receptor Mechanisms and Signaling (46 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismInfectious Diseases
- Partner nations
- United StatesEgyptGermany
In The Last Decade
Mark C. Chappell
212 papers receiving 13.4k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Cardiology and Cardiovascular Medicine 7.8k
- Endocrinology, Diabetes and Metabolism 5.3k
- Molecular Biology 3.4k
- Infectious Diseases 2.5k
- Pharmacology 1.9k
Countries citing papers authored by Mark C. Chappell
This map shows the geographic impact of Mark C. Chappell'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 Mark C. Chappell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark C. Chappell more than expected).
Fields of papers citing papers by Mark C. Chappell
This network shows the impact of papers produced by Mark C. Chappell. 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 Mark C. Chappell. The network helps show where Mark C. Chappell may publish in the future.
Co-authorship network of co-authors of Mark C. Chappell
This figure shows the co-authorship network connecting the top 25 collaborators of Mark C. Chappell. A scholar is included among the top collaborators of Mark C. Chappell 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 Mark C. Chappell. Mark C. Chappell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 12 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 24 | |
| 7 | 47 | |
| 8 | 32 | |
| 9 | 31 | |
| 10 | 17 | |
| 11 | 43 | |
| 12 | 95 | |
| 13 | 152 | |
| 14 | 73 | |
| 15 | 97 | |
| 16 | Angiotensin-converting enzyme 2 is an essential regulator of heart functionbreakdown → | 1340 |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 57 | |
| 20 | 33 |
About Mark C. Chappell
Mark C. Chappell is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology, having authored 219 papers that have together received 13.7k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (126 papers), Hormonal Regulation and Hypertension (92 papers) and Receptor Mechanisms and Signaling (46 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (7.8k citations), Endocrinology, Diabetes and Metabolism (5.3k citations) and Infectious Diseases (2.5k citations). Mark C. Chappell has collaborated with scholars based in United States, Egypt and Germany. Frequent co-authors include Carlos M. Ferrario, Debra I. Diz, K. Bridget Brosnihan, Patricia E. Gallagher, David B. Averill, E. Ann Tallant, Jewell A. Jessup, K. Bridget Brosnihan, Andrew M. South and Sarah H. Lindsey. Their work appears in journals such as Nature, Journal of Biological Chemistry and Circulation.
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.