Mark A Cervinski
Impact in
-
- Meta-analysis and systematic reviews
- Health Informatics top 10%
Papers in
-
- Clinical Laboratory Practices and Quality Control 9
- Co-authors
- Roxanne A. Vaughan (4 shared papers)James D. Foster (4 shared papers)Tony Badrick (10 shared papers)Tze Ping Loh (10 shared papers)Andreas Bietenbeck (9 shared papers)Alex Katayev (8 shared papers)Huub H. van Rossum (7 shared papers)David P. Ng (1 shared paper)
- Journals
- Clinical Chemistry (20 papers)Clinical Biochemistry (9 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (3 papers)Clinica Chimica Acta (3 papers)American Journal of Clinical Pathology (2 papers)
- Partner nations
- United StatesAustraliaSingapore
In The Last Decade
Mark A Cervinski
65 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Statistics, Probability and Uncertainty 121
- Health Informatics 19
- Physiology 266
- Cellular and Molecular Neuroscience 197
- Statistics and Probability 74
Countries citing papers authored by Mark A Cervinski
This map shows the geographic impact of Mark A Cervinski'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 A Cervinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A Cervinski more than expected).
Fields of papers citing papers by Mark A Cervinski
This network shows the impact of papers produced by Mark A Cervinski. 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 A Cervinski. The network helps show where Mark A Cervinski may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark A Cervinski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 109 | |
| 2 | 2019 | 72 | |
| 3 | 2016 | 67 | |
| 4 | 2006 | 56 | |
| 5 | 2009 | 55 | |
| 6 | 2020 | 51 | |
| 7 | 2020 | 48 | |
| 8 | 2020 | 47 | |
| 9 | 2019 | 45 | |
| 10 | 2010 | 42 | |
| 11 | 2003 | 36 | |
| 12 | 2009 | 33 | |
| 13 | 2021 | 32 | |
| 14 | 2011 | 29 | |
| 15 | 2018 | 29 | |
| 16 | 2015 | 29 | |
| 17 | 2018 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2018 | 22 | |
| 20 | 2019 | 22 |
About Mark A Cervinski
Mark A Cervinski is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Infectious Diseases, Statistics, Probability and Uncertainty and Molecular Biology, having authored 69 papers that have together received 1.1k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (9 papers), Meta-analysis and systematic reviews (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Statistical Methods in Clinical Trials (5 papers), SARS-CoV-2 detection and testing (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Biosensors and Analytical Detection (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (121 citations), Health Informatics (19 citations), Physiology (266 citations), Cellular and Molecular Neuroscience (197 citations) and Statistics and Probability (74 citations). Mark A Cervinski has collaborated with scholars based in United States, Australia and Singapore. Frequent co-authors include Roxanne A. Vaughan, James D. Foster, Tony Badrick, Tze Ping Loh, Andreas Bietenbeck, Alex Katayev, Huub H. van Rossum, David P. Ng, Ann M. Gronowski and Robert D Nerenz. Their work appears in journals such as Clinical Chemistry, Clinical Biochemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta and American Journal of Clinical Pathology.
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.