James M. Bailey

3.9k total citations
69 papers, 2.7k citations indexed

About

James M. Bailey is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, James M. Bailey has authored 69 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 16 papers in Surgery and 12 papers in Critical Care and Intensive Care Medicine. Recurrent topics in James M. Bailey's work include Anesthesia and Sedative Agents (10 papers), Heart Failure Treatment and Management (8 papers) and Cardiac, Anesthesia and Surgical Outcomes (8 papers). James M. Bailey is often cited by papers focused on Anesthesia and Sedative Agents (10 papers), Heart Failure Treatment and Management (8 papers) and Cardiac, Anesthesia and Surgical Outcomes (8 papers). James M. Bailey collaborates with scholars based in United States, United Kingdom and Australia. James M. Bailey's co-authors include Jerrold H. Levy, Wassim M. Haddad, Bruce E. Miller, Steven R. Tosone, John F. Kocsis, David P. Nelson, Gil Wernovsky, Anthony Chang, Timothy M. Hoffman and Thomas L. Spray and has published in prestigious journals such as Nucleic Acids Research, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

James M. Bailey

68 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James M. Bailey United States 29 829 787 494 443 424 69 2.7k
G. Hempelmann Germany 37 1.3k 1.5× 2.0k 2.5× 684 1.4× 647 1.5× 615 1.5× 338 5.6k
S. Piepenbrock Germany 26 396 0.5× 664 0.8× 423 0.9× 137 0.3× 788 1.9× 118 2.7k
Martin Siegemund Switzerland 35 447 0.5× 642 0.8× 529 1.1× 1.0k 2.3× 1.5k 3.4× 153 3.5k
Andreas Hoeft Germany 26 793 1.0× 981 1.2× 910 1.8× 168 0.4× 485 1.1× 69 2.8k
David Brealey United Kingdom 28 420 0.5× 645 0.8× 412 0.8× 1.4k 3.1× 1.2k 2.8× 80 4.1k
Armin Sablotzki Germany 28 606 0.7× 906 1.2× 418 0.8× 893 2.0× 458 1.1× 108 3.4k
John H. Tinker United States 30 1.6k 1.9× 1.5k 1.9× 1.1k 2.3× 117 0.3× 380 0.9× 125 3.8k
W. J. Kox Germany 26 323 0.4× 680 0.9× 304 0.6× 546 1.2× 316 0.7× 71 2.3k
Thomas Scheeren Netherlands 39 2.2k 2.6× 2.6k 3.4× 417 0.8× 754 1.7× 993 2.3× 211 5.3k
K. Unertl Germany 29 190 0.2× 555 0.7× 530 1.1× 763 1.7× 593 1.4× 103 3.5k

Countries citing papers authored by James M. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by James M. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James M. Bailey. 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 James M. Bailey. The network helps show where James M. Bailey may publish in the future.

Co-authorship network of co-authors of James M. Bailey

This figure shows the co-authorship network connecting the top 25 collaborators of James M. Bailey. A scholar is included among the top collaborators of James M. Bailey 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 James M. Bailey. James M. Bailey 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.
Bailey, James M., et al.. (2021). Hampton’s Hump: A Notable Radiographic Finding in a Patient with Infectious Endocarditis. SHILAP Revista de lepidopterología. 2021. 1–5. 1 indexed citations
2.
Russell, Jennifer, Nick D. Jeffery, James M. Bailey, et al.. (2021). CEREBROSPINAL FLUID SAMPLING IN A BOTTLENOSE DOLPHIN (TURSIOPS TRUNCATUS) UNDER GENERAL ANESTHESIA. Journal of Zoo and Wildlife Medicine. 51(4). 1056–1061. 3 indexed citations
3.
4.
Bailey, James M. & Kayvan Khadjooi. (2016). Lesson of the month 1: Artery of Percheron occlusion – an uncommon cause of coma in a middle-aged man. Clinical Medicine. 16(1). 86–87. 7 indexed citations
5.
6.
Bailey, James M., Rinaldo Bellomo, Graeme K. Hart, et al.. (2012). Common laboratory tests predict imminent death in ward patients. Resuscitation. 84(3). 280–285. 28 indexed citations
7.
Curtis, D. W., Esteban J. Pino, James M. Bailey, et al.. (2007). SMART--An Integrated Wireless System for Monitoring Unattended Patients. Journal of the American Medical Informatics Association. 15(1). 44–53. 67 indexed citations
8.
Levy, Jerrold H., James M. Bailey, & G. Michael Deeb. (2002). Intravenous milrinone in cardiac surgery. The Annals of Thoracic Surgery. 73(1). 325–330. 46 indexed citations
9.
Bailey, James M.. (2002). Context-Sensitive Half-Times. Clinical Pharmacokinetics. 41(11). 793–799. 28 indexed citations
10.
Hoffman, Timothy M., Gil Wernovsky, Andrew M. Atz, et al.. (2002). Prophylactic intravenous use of milrinone after cardiac operation in pediatrics (PRIMACORP) study. American Heart Journal. 143(1). 15–21. 98 indexed citations
11.
Harris, Gregory, Nancy C. Andreasen, Ted Cizadlo, et al.. (1999). Improving Tissue Classification in MRI: A Three-Dimensional Multispectral Discriminant Analysis Method with Automated Training Class Selection. Journal of Computer Assisted Tomography. 23(1). 144–154. 225 indexed citations
12.
Miller, Bruce E., Steven R. Tosone, Vincent K.H Tam, et al.. (1998). Hematologic and economic impact of aprotinin in reoperative pediatric cardiac operations. The Annals of Thoracic Surgery. 66(2). 535–540. 50 indexed citations
13.
Kikura, Mutsuhito, Jerrold H. Levy, Luis G. Michelsen, et al.. (1997). The Effect of Milrinone on Hemodynamics and Left Ventricular Function After Emergence from Cardiopulmonary Bypass. Anesthesia & Analgesia. 85(1). 16–22. 48 indexed citations
14.
Bailey, James M.. (1997). Context-Sensitive Half-Times and Other Decrement Times of Inhaled Anesthetics. Anesthesia & Analgesia. 85(3). 681–686. 102 indexed citations
15.
Sharma, Shiva, et al.. (1996). The Usefulness of Transesophageal Echocardiography in the Surgical Management of Older Children with Subaortic Stenosis. Echocardiography. 13(6). 653–661. 3 indexed citations
16.
Kikura, Mutsuhito, et al.. (1995). The Effects of Milrinone on Platelets in Patients Undergoing Cardiac Surgery. Anesthesia & Analgesia. 81(1). 44–48. 30 indexed citations
17.
Bailey, James M., Jack S. Shanewise, Mutsuhito Kikura, & Shiva Sharma. (1995). A comparison of transesophageal and transthoracic echocardiographic assessment of left ventricular function in pediatric patients with congenital heart disease. Journal of Cardiothoracic and Vascular Anesthesia. 9(6). 665–669. 7 indexed citations
18.
Bailey, James M.. (1994). A technique for calculating the mean time for equilibration of drug distribution using minimal structural assumptions. Journal of Pharmacokinetics and Biopharmaceutics. 22(2). 157–164. 1 indexed citations
19.
Bailey, James M., Ian M. Schwieger, & Carl C. Hug. (1993). Evaluation of Sufentanil Anesthesia Obtained by a Computer-Controlled Infusion for Cardiac Surgery. Anesthesia & Analgesia. 76(2). 247–252. 24 indexed citations
20.
Bailey, James M.. (1989). The pharmacokinetics of volatile anesthetic agent elimination: A theoretical study. Journal of Pharmacokinetics and Biopharmaceutics. 17(1). 109–123. 6 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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