Mark Chappell
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in
-
- Birth, Development, and Health 2
-
- Neonatal Respiratory Health Research 2
- Co-authors
- Yukihiro Yamaguchi (1 shared paper)Sanxia Wang (1 shared paper)Hongpeng Jia (1 shared paper)Christine Wohlford-Lenane (1 shared paper)Chhinder P. Sodhi (1 shared paper)William B. Fulton (1 shared paper)David J. Hackam (1 shared paper)Paul B. McCray (1 shared paper)
- Journals
- American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)American Journal of Physiology-Renal Physiology (1 paper)American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Mark Chappell
4 papers receiving 318 citations
Peers
Comparison fields: 5 of 58
- Infectious Diseases 189
- Obstetrics and Gynecology 46
- Neurology 80
- Genetics 41
- Cardiology and Cardiovascular Medicine 56
Countries citing papers authored by Mark Chappell
This map shows the geographic impact of Mark 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 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 Chappell more than expected).
Fields of papers citing papers by Mark Chappell
This network shows the impact of papers produced by Mark 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 Chappell. The network helps show where Mark Chappell may publish in the future.
Co-authors
The 18 scholars most cited alongside Mark Chappell, 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 | 2017 | 265 | |
| 2 | 2010 | 35 | |
| 3 | 2015 | 15 | |
| 4 | Aprotinin induced lipohypertrophy and glomerulonephritis in an insulin dependent diabetic. | 1985 | 5 |
About Mark Chappell
Mark Chappell is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology, Genetics and Cardiology and Cardiovascular Medicine, having authored 4 papers that have together received 320 indexed citations. Recurring topics across this work include Birth, Development, and Health (2 papers), Pregnancy and preeclampsia studies (2 papers), Neonatal Respiratory Health Research (2 papers), Diabetes Management and Research (1 paper), Renin-Angiotensin System Studies (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper), Diabetes and associated disorders (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Infectious Diseases (189 citations), Obstetrics and Gynecology (46 citations), Neurology (80 citations), Genetics (41 citations) and Cardiology and Cardiovascular Medicine (56 citations). Mark Chappell has collaborated with scholars based in United States. Frequent co-authors include Yukihiro Yamaguchi, Sanxia Wang, Hongpeng Jia, Christine Wohlford-Lenane, Chhinder P. Sodhi, William B. Fulton, David J. Hackam, Paul B. McCray, Thomas Prindle and Jorge Figueroa. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, American Journal of Physiology-Renal Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and PubMed.
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.