Michael Ackerman

4.3k total citations · 1 hit paper
86 papers, 2.9k citations indexed

About

Michael Ackerman is a scholar working on General Health Professions, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Michael Ackerman has authored 86 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in General Health Professions, 14 papers in Cardiology and Cardiovascular Medicine and 12 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Michael Ackerman's work include Cardiac electrophysiology and arrhythmias (9 papers), Health Sciences Research and Education (8 papers) and Sepsis Diagnosis and Treatment (8 papers). Michael Ackerman is often cited by papers focused on Cardiac electrophysiology and arrhythmias (9 papers), Health Sciences Research and Education (8 papers) and Sepsis Diagnosis and Treatment (8 papers). Michael Ackerman collaborates with scholars based in United States, Israel and Canada. Michael Ackerman's co-authors include Jan A. Moynihan, Elizabeth Papathanassoglou, Terry S. Yoo, Will Schroeder, Dimitris Metaxas, William E. Lorensen, Stephen Aylward, Vikram Chalana, Ross Whitaker and Bernadette Mazurek Melnyk and has published in prestigious journals such as JAMA, Circulation and Scientific Reports.

In The Last Decade

Michael Ackerman

80 papers receiving 2.7k citations

Hit Papers

Engineering and Algorithm... 2002 2026 2010 2018 2002 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Michael Ackerman 643 563 403 389 344 86 2.9k
José Ignacio Emparanza 416 0.6× 269 0.5× 360 0.9× 338 0.9× 517 1.5× 121 3.0k
Sergey Tarima 303 0.5× 290 0.5× 263 0.7× 320 0.8× 877 2.5× 185 3.3k
Irene Ma 299 0.5× 295 0.5× 246 0.6× 306 0.8× 290 0.8× 135 3.3k
Christoph Engel 190 0.3× 876 1.6× 246 0.6× 505 1.3× 800 2.3× 221 5.7k
Étienne Audureau 503 0.8× 488 0.9× 173 0.4× 516 1.3× 597 1.7× 197 3.5k
Claire M. Spettell 608 0.9× 199 0.4× 498 1.2× 222 0.6× 736 2.1× 77 4.2k
Charity J. Morgan 1.2k 1.8× 215 0.4× 106 0.3× 414 1.1× 229 0.7× 126 3.0k
Tej D. Azad 711 1.1× 454 0.8× 158 0.4× 448 1.2× 293 0.9× 161 4.8k
Matthew J. Hayat 288 0.4× 198 0.4× 231 0.6× 387 1.0× 369 1.1× 121 2.8k

Countries citing papers authored by Michael Ackerman

Since Specialization
Citations

This map shows the geographic impact of Michael Ackerman'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 Michael Ackerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Ackerman more than expected).

Fields of papers citing papers by Michael Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Ackerman. 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 Michael Ackerman. The network helps show where Michael Ackerman may publish in the future.

Co-authorship network of co-authors of Michael Ackerman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Ackerman. A scholar is included among the top collaborators of Michael Ackerman 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 Michael Ackerman. Michael Ackerman 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.
Giudicessi, John R., et al.. (2025). Gene therapy for cardiac arrhythmias. Nature Reviews Cardiology. 23(1). 23–38. 1 indexed citations
2.
Castrichini, Matteo, et al.. (2025). Age at onset and clinical course of RBM20-mediated cardiomyopathy. Scientific Reports. 15(1). 10716–10716.
3.
Bos, J. Martijn, et al.. (2025). Outcomes and Burdens to Return-to-Play for Phenotype Negative Athletes With a Genetic Heart Disease. JACC. Clinical electrophysiology. 11(8). 1708–1717. 1 indexed citations
4.
Ackerman, Michael, et al.. (2025). The Relationship Between Burnout and Emotional Intelligence in Nurse Managers and Assistant Nurse Managers. JONA The Journal of Nursing Administration. 55(9). 509–515.
5.
Jokiniemi, Krista, et al.. (2024). Content validation study on the Advanced Practice Role Delineation Tool. International Journal of Nursing Practice. 30(6). e13295–e13295. 1 indexed citations
6.
Ackerman, Michael, et al.. (2022). Building and sustaining a culture of innovation in nursing Academics, Research, Policy, and Practice: Outcomes of the National Innovation Summit. Journal of Professional Nursing. 43. 5–11. 21 indexed citations
7.
Ackerman, Michael, et al.. (2021). Sepsis. Critical Care Nursing Clinics of North America. 33(4). 407–418. 39 indexed citations
8.
Chatterjee, Diptendu, Maurizio Pieroni, Meena Fatah, et al.. (2020). An autoantibody profile detects Brugada syndrome and identifies abnormally expressed myocardial proteins. European Heart Journal. 41(30). 2878–2890. 32 indexed citations
9.
Ackerman, Michael, et al.. (2014). Postsecondary Student Mobility from College to University: Student Expectations and Experience. The College Quarterly. 17(1). 7 indexed citations
10.
Bellomo, Rinaldo, Michael Ackerman, Michael Bailey, et al.. (2012). A controlled trial of electronic automated advisory vital signs monitoring in general hospital wards*. Critical Care Medicine. 40(8). 2349–2361. 154 indexed citations
11.
Cheng, Jianding, David J. Tester, Bi-Hua Tan, et al.. (2011). The common African American polymorphism SCN5A-S1103Y interacts with mutation SCN5A-R680H to increase late Na current. Physiological Genomics. 43(9). 461–466. 23 indexed citations
12.
Tan, Beiping, Pedro Iturralde-Torres, Argelia Medeiros‐Domingo, et al.. (2007). A novel C-terminal truncation SCN5A mutation from a patient with sick sinus syndrome, conduction disorder and ventricular tachycardia. Cardiovascular Research. 76(3). 409–417. 36 indexed citations
13.
Rifkin, Benjamin, et al.. (2006). L'anatomie humaine : cinq siècles de sciences et d'art.
14.
Fontelo, Paul, et al.. (2006). Txt2MEDLINE: text-messaging access to MEDLINE/PubMed.. Europe PMC (PubMed Central). 259–63. 13 indexed citations
15.
Fontelo, Paul, et al.. (2005). SLIM: an alternative Web interface for MEDLINE/PubMed searches – a preliminary study. BMC Medical Informatics and Decision Making. 5(1). 37–37. 19 indexed citations
16.
Ackerman, Michael, et al.. (2004). Critical care nursing for older adults: pathophysiological and functional considerations. Nursing Clinics of North America. 39(3). 473–493. 20 indexed citations
17.
Ackerman, Michael. (2001). Postmortem Molecular Analysis of <EMPH TYPE="ITAL">SCN5A</EMPH> Defects in Sudden Infant Death Syndrome. JAMA. 286(18). 2264–2264. 300 indexed citations
18.
Papathanassoglou, Elizabeth, Jan A. Moynihan, Michael Ackerman, & Christos S. Mantzoros. (2001). Serum leptin levels are higher but are not independently associated with severity or mortality in the multiple organ dysfunction/systemic inflammatory response syndrome: a matched case control and a longitudinal study. Clinical Endocrinology. 54(2). 225–233. 36 indexed citations
19.
Papathanassoglou, Elizabeth, Jan A. Moynihan, & Michael Ackerman. (2000). Does programmed cell death (apoptosis) play a role in the development of multiple organ dysfunction in critically ill patients? A review and a theoretical framework. Critical Care Medicine. 28(2). 537–549. 128 indexed citations
20.
D’Alessandro, Michael P., et al.. (1993). Educational Technology Network: A computer conferencing system dedicated to applications of computers in radiology practice, research, and education. Journal of Digital Imaging. 6(4). 237–240. 2 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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