Mark A Cervinski

1.5k total citations
66 papers, 1.1k citations indexed

About

Mark A Cervinski is a scholar working on Physiology, Surgery and Statistics, Probability and Uncertainty. According to data from OpenAlex, Mark A Cervinski has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 11 papers in Surgery and 10 papers in Statistics, Probability and Uncertainty. Recurrent topics in Mark A Cervinski's work include Clinical Laboratory Practices and Quality Control (15 papers), Statistical Methods in Clinical Trials (10 papers) and Meta-analysis and systematic reviews (9 papers). Mark A Cervinski is often cited by papers focused on Clinical Laboratory Practices and Quality Control (15 papers), Statistical Methods in Clinical Trials (10 papers) and Meta-analysis and systematic reviews (9 papers). Mark A Cervinski collaborates with scholars based in United States, Australia and Singapore. Mark A Cervinski's co-authors include James D. Foster, Roxanne A. Vaughan, Tze Ping Loh, Tony Badrick, Andreas Bietenbeck, Alex Katayev, Huub H. van Rossum, David P. Ng, Ann M. Gronowski and Robert D Nerenz and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Neuroscience.

In The Last Decade

Mark A Cervinski

63 papers receiving 1.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mark A Cervinski 318 271 249 200 176 66 1.1k
Hannes Oberkofler 1.6k 5.1× 1.2k 4.5× 94 0.4× 165 0.8× 13 0.1× 71 2.8k
Elizabeta Topić 200 0.6× 190 0.7× 103 0.4× 18 0.1× 24 0.1× 69 936
Seán J. Costelloe 181 0.6× 220 0.8× 99 0.4× 45 0.2× 10 0.1× 37 607
Phillip J. Monaghan 113 0.4× 176 0.6× 77 0.3× 18 0.1× 21 0.1× 38 934
C.‐H. de Verdier 506 1.6× 220 0.8× 148 0.6× 9 0.0× 63 0.4× 44 1.3k
Allison Meisner 79 0.2× 108 0.4× 21 0.1× 18 0.1× 53 0.3× 34 875
Nophar Geifman 174 0.5× 325 1.2× 25 0.1× 24 0.1× 10 0.1× 66 1.0k
Tamer İnal 150 0.5× 70 0.3× 29 0.1× 28 0.1× 16 0.1× 31 520
Xavier Fuentes‐Arderiu 382 1.2× 93 0.3× 228 0.9× 5 0.0× 121 0.7× 80 998
Tomoyuki Sugimoto 54 0.2× 239 0.9× 22 0.1× 56 0.3× 199 1.1× 51 920

Countries citing papers authored by Mark A Cervinski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark A Cervinski

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A Cervinski. A scholar is included among the top collaborators of Mark A Cervinski 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 A Cervinski. Mark A Cervinski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jones, Victoria, Shailesh K. Choudhary, Nancy M. Dunbar, et al.. (2025). Immunologic investigation of an allergic transfusion reaction suspected due to alpha‐gal syndrome. Transfusion. 65(10). 1989–1995. 2 indexed citations
2.
Geno, K. Aaron & Mark A Cervinski. (2023). Impact of the loss of laboratory developed mass spectrometry testing at a major academic medical center. SHILAP Revista de lepidopterología. 28. 63–66. 4 indexed citations
3.
Kelliher, Michael T., et al.. (2022). Comparison of Symptoms and Antibody Response Following Administration of Moderna or Pfizer SARS-CoV-2 Vaccines. Archives of Pathology & Laboratory Medicine. 146(6). 677–685. 10 indexed citations
4.
Nerenz, Robert D, Jacqueline A. Hubbard, & Mark A Cervinski. (2022). Review of SARS-CoV-2 Antigen and Antibody Testing in Diagnosis and Community Surveillance. Clinics in Laboratory Medicine. 42(4). 687–704.
5.
Geno, K. Aaron, Matthew S. Reed, Mark A Cervinski, & Robert D Nerenz. (2021). Evaluation of Thyroid Function in Pregnant Women Using Automated Immunoassays. Clinical Chemistry. 67(5). 772–780. 5 indexed citations
6.
Loh, Tze Ping, et al.. (2019). Recommendations for laboratory informatics specifications needed for the application of patient-based real time quality control. Clinica Chimica Acta. 495. 625–629. 44 indexed citations
7.
Armstrong, David A., Carol S. Ringelberg, Haley F. Hazlett, et al.. (2018). Pre-Analytical Handling Conditions and Small RNA Recovery from Urine for miRNA Profiling. Journal of Molecular Diagnostics. 20(5). 565–571. 21 indexed citations
8.
9.
Cervinski, Mark A, et al.. (2018). Assessment of biotin interference with qualitative point-of-care hCG test devices. Clinical Biochemistry. 53. 168–170. 17 indexed citations
10.
Casella, Samuel J., et al.. (2018). Low serum alkaline phosphatase activity due to asymptomatic hypophosphatasia in a teenage girl. Clinical Biochemistry. 59. 90–92. 2 indexed citations
11.
Badrick, Tony, Mark A Cervinski, & Tze Ping Loh. (2018). A primer on patient-based quality control techniques. Clinical Biochemistry. 64. 1–5. 25 indexed citations
12.
Cervinski, Mark A, et al.. (2014). A macro-enzyme cause of an isolated increase of alkaline phosphatase. Clinica Chimica Acta. 440. 169–171. 9 indexed citations
13.
Kelsey, David E., et al.. (2014). Laboratory validation of a low density lipoprotein apolipoprotein-B assay. Clinical Biochemistry. 47(16-17). 211–215. 2 indexed citations
14.
Burchard, Paul R., Ahmad Abou Tayoun, Joel A. Lefferts, et al.. (2014). Development of a rapid clinical TPMT genotyping assay. Clinical Biochemistry. 47(15). 126–129. 11 indexed citations
15.
Crimmins, Dan L., Christina M. Lockwood, Terry A. Griest, et al.. (2010). ETRAP (efficient trapping and purification) of target protein polyclonal antibodies from GST–protein immune sera1. Biotechnology and Applied Biochemistry. 57(4). 127–138. 2 indexed citations
16.
Cervinski, Mark A, James D. Foster, & Roxanne A. Vaughan. (2010). Syntaxin 1A regulates dopamine transporter activity, phosphorylation and surface expression. Neuroscience. 170(2). 408–416. 42 indexed citations
17.
Cervinski, Mark A, Christina M. Lockwood, Angela M. Ferguson, et al.. (2009). Qualitative point-of-care and over-the-counter urine hCG devices differentially detect the hCG variants of early pregnancy. Clinica Chimica Acta. 406(1-2). 81–85. 30 indexed citations
18.
Cervinski, Mark A, et al.. (2009). Performance characteristics of a no-pretreatment, random access sirolimus assay for the Dimension® RxL clinical chemistry system. Clinical Biochemistry. 42(10-11). 1123–1127. 6 indexed citations
19.
Foster, James D., Mark A Cervinski, Balachandra K. Gorentla, & Roxanne A. Vaughan. (2006). Regulation of the Dopamine Transporter by Phosphorylation. Handbook of experimental pharmacology. 197–214. 55 indexed citations
20.
Foster, James D., et al.. (2003). Dopamine transporters are dephosphorylated in striatal homogenates and in vitro by protein phosphatase 1. Molecular Brain Research. 110(1). 100–108. 35 indexed citations

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.

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