Mark A. Zaydman

1.4k total citations
34 papers, 866 citations indexed

About

Mark A. Zaydman is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mark A. Zaydman has authored 34 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mark A. Zaydman's work include Ion channel regulation and function (12 papers), Cardiac electrophysiology and arrhythmias (12 papers) and Neuroscience and Neural Engineering (6 papers). Mark A. Zaydman is often cited by papers focused on Ion channel regulation and function (12 papers), Cardiac electrophysiology and arrhythmias (12 papers) and Neuroscience and Neural Engineering (6 papers). Mark A. Zaydman collaborates with scholars based in United States, France and Russia. Mark A. Zaydman's co-authors include Jianmin Cui, Jonathan R. Silva, Kelli Delaloye, Dick Wu, Hongwu Liang, Jingyi Shi, Marina A. Kasimova, Mounir Tarek, Jingyi Shi and Yang Li and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mark A. Zaydman

30 papers receiving 858 citations

Peers

Mark A. Zaydman

CCM

CMN

ELECT

Ning Shi China

D. J. Black United States

Mark J. Perrin Australia

László Kiss United States

Felix Findeisen United States

Tahmina Rahman United Kingdom

Cristina Arrigoni Italy

Ying Ke Australia

Tinatin I. Brelidze United States

Jayaraman Tharmalingam India

Ning Shi China

Mark A. Zaydman

445 ×0.6

95 ×0.2

CCM

173 ×0.5

CMN

22 ×0.5

41 ×1.0

ELECT

Citations per year, relative to Mark A. Zaydman Mark A. Zaydman (= 1×) peers Ning Shi

Countries citing papers authored by Mark A. Zaydman

Since Specialization

Citations

This map shows the geographic impact of Mark A. Zaydman'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. Zaydman 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. Zaydman more than expected).

Fields of papers citing papers by Mark A. Zaydman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark A. Zaydman. 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. Zaydman. The network helps show where Mark A. Zaydman may publish in the future.

Co-authorship network of co-authors of Mark A. Zaydman

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

All Works

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20 of 20 papers shown

Rubin, Alexandra, et al.. (2025). Racial Equity in Urine Drug Screening Policies in Labor and Delivery. JAMA Network Open. 8(3). e250908–e250908. 3 indexed citations

Slade, Michael, Abir Khaled, Mark A. Fiala, et al.. (2025). Blood-Based Measurable Residual Disease by Clonotypic Mass Spectrometry is Prognostic in Patients With Multiple Myeloma Undergoing Autologous Hematopoietic Cell Transplant. Clinical Lymphoma Myeloma & Leukemia. 25(9). e628–e637.e4.

Rubin, Alexandra, Lori Stevenson, Ebony B. Carter, et al.. (2024). 933 Policy change combined with clinical decision support improves equity and yield of L&D UDS testing. American Journal of Obstetrics and Gynecology. 230(1). S493–S494.

Spies, Nicholas C., et al.. (2024). Prospective and External Validation of an Ensemble Learning Approach to Sensitively Detect Intravenous Fluid Contamination in Basic Metabolic Panels. Clinical Chemistry. 71(2). 296–306. 1 indexed citations

Herries, Elizabeth, Mark A. Zaydman, Christopher W Farnsworth, et al.. (2024). Clinical Utility of LC-MS/MS for Blood Myo-Inositol in Patients with Acute Kidney Injury and Chronic Kidney Disease. Clinical Chemistry. 70(9). 1172–1181. 3 indexed citations

Yang, He S., Yingheng Wang, Mark A. Zaydman, et al.. (2023). Generalizability of a Machine Learning Model for Improving Utilization of Parathyroid Hormone-Related Peptide Testing across Multiple Clinical Centers. Clinical Chemistry. 69(11). 1260–1269. 7 indexed citations

Slade, Michael, Mark A. Fiala, Keith Stockerl‐Goldstein, et al.. (2023). A Single Reference Interval for Interpreting Serum Free Light Chains across Patients with Varying Renal Function. Clinical Chemistry. 69(6). 595–605. 3 indexed citations

Spies, Nicholas C., Zita Hubler, Ray Zhang, et al.. (2023). Automating the Detection of IV Fluid Contamination Using Unsupervised Machine Learning. Clinical Chemistry. 70(2). 444–452. 11 indexed citations

Zaydman, Mark A., et al.. (2023). Generative Artificial Intelligence: More of the Same or Off the Control Chart?. Clinical Chemistry. 69(10). 1101–1106. 3 indexed citations

10.

Zaydman, Mark A., et al.. (2023). Working with the Electronic Health Record and Laboratory Information System to Maximize Ordering and Reporting of Molecular Microbiology Results. Clinics in Laboratory Medicine. 44(1). 95–107. 1 indexed citations

11.

Zaydman, Mark A., et al.. (2023). Optimizing Equity: Working towards Fair Machine Learning Algorithms in Laboratory Medicine. The Journal of Applied Laboratory Medicine. 8(1). 113–128. 11 indexed citations

12.

Schreiber, Julian A., Mark A. Zaydman, Zachary Beller, et al.. (2022). A benzodiazepine activator locks Kv7.1 channels open by electro-mechanical uncoupling. Communications Biology. 5(1). 301–301. 8 indexed citations

13.

Zaydman, Mark A., et al.. (2022). Defining hierarchical protein interaction networks from spectral analysis of bacterial proteomes. eLife. 11. 1 indexed citations

14.

Smith, Thomas G., Mark A. Zaydman, Aaron DiAntonio, et al.. (2021). A phytobacterial TIR domain effector manipulates NAD ⁺ to promote virulence. New Phytologist. 233(2). 890–904. 48 indexed citations

15.

Zaydman, Mark A., Jonathan R. Brestoff, & Ronald Jackups. (2021). Using information theory to optimize a diagnostic threshold to match physician-ordering practice. Journal of Biomedical Informatics. 117. 103756–103756.

16.

Brestoff, Jonathan R., Mark A. Zaydman, Ronald Jackups, et al.. (2018). The B antigen protects against the development of red meat allergy. The Journal of Allergy and Clinical Immunology In Practice. 6(5). 1790–1791.e3. 36 indexed citations

17.

Kasimova, Marina A., Mark A. Zaydman, Jianmin Cui, & Mounir Tarek. (2015). PIP2-dependent coupling is prominent in Kv7.1 due to weakened interactions between S4-S5 and S6. Scientific Reports. 5(1). 7474–7474. 46 indexed citations

18.

Sun, Xiaohui, Mark A. Zaydman, & Jianmin Cui. (2012). Regulation of Voltage-Activated K+ Channel Gating by Transmembrane β Subunits. Frontiers in Pharmacology. 3. 63–63. 44 indexed citations

19.

Zaydman, Mark A., Jonathan R. Silva, Kelli Delaloye, H. Peter Larsson, & Jianmin Cui. (2012). The Role of PIP2 in the Voltage-Dependent Activation of Kv7.1. Biophysical Journal. 102(3). 331a–332a. 1 indexed citations

20.

Wu, Dick, Kelli Delaloye, Mark A. Zaydman, et al.. (2010). State-dependent electrostatic interactions of S4 arginines with E1 in S2 during Kv7.1 activation. The Journal of General Physiology. 135(6). 595–606. 73 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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