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
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- Birth, Development, and Health 2
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- Neonatal Respiratory Health Research 2
- Co-authors
- Chhinder P. Sodhi (1 shared paper)Yukihiro Yamaguchi (1 shared paper)William B. Fulton (1 shared paper)David J. Hackam (1 shared paper)Paul B. McCray (1 shared paper)Hongpeng Jia (1 shared paper)Christine Wohlford-Lenane (1 shared paper)Thomas Prindle (1 shared paper)
- Journals
- American Journal of Physiology-Renal Physiology (1 paper)American Journal of Physiology-Lung Cellular and Molecular 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 332 citations
Peers
Comparison fields: 5 of 59
- Infectious Diseases 180
- Obstetrics and Gynecology 48
- Neurology 73
- Genetics 38
- Pediatrics, Perinatology and Child Health 49
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 | 274 | |
| 2 | 2010 | 38 | |
| 3 | 2015 | 17 | |
| 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 334 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (2 papers), Birth, Development, and Health (2 papers), Pregnancy and preeclampsia studies (2 papers), Diabetes Management and Research (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Infectious Diseases (180 citations), Obstetrics and Gynecology (48 citations), Neurology (73 citations), Genetics (38 citations) and Pediatrics, Perinatology and Child Health (49 citations). Mark Chappell has collaborated with scholars based in United States. Frequent co-authors include Chhinder P. Sodhi, Yukihiro Yamaguchi, William B. Fulton, David J. Hackam, Paul B. McCray, Hongpeng Jia, Christine Wohlford-Lenane, Thomas Prindle, Sanxia Wang and Jorge Figueroa. Their work appears in journals such as American Journal of Physiology-Renal Physiology, American Journal of Physiology-Lung Cellular and Molecular 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.