Bix E. Swain

1.5k total citations
17 papers, 1.2k citations indexed

About

Bix E. Swain is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and General Health Professions. According to data from OpenAlex, Bix E. Swain has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 5 papers in Endocrinology, Diabetes and Metabolism and 3 papers in General Health Professions. Recurrent topics in Bix E. Swain's work include Diabetes Management and Education (4 papers), Acute Myocardial Infarction Research (3 papers) and Diabetes Management and Research (3 papers). Bix E. Swain is often cited by papers focused on Diabetes Management and Education (4 papers), Acute Myocardial Infarction Research (3 papers) and Diabetes Management and Research (3 papers). Bix E. Swain collaborates with scholars based in United States, Russia and Canada. Bix E. Swain's co-authors include Joe V. Selby, Bruce Fireman, Joseph V. Selby, Richard A. Watson, Jesse C. Crosson, Marco Costa, Usha Subramanian, C N Sadur, Debra R. Mendlowitz and David G. Marrero and has published in prestigious journals such as New England Journal of Medicine, Diabetes Care and Hypertension.

In The Last Decade

Bix E. Swain

17 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bix E. Swain United States	14	473	377	280	269	220	17	1.2k
Barbara Fleming United States	15	392 0.8×	479 1.3×	355 1.3×	340 1.3×	200 0.9×	22	1.3k
Stephen F. Derose United States	24	224 0.5×	265 0.7×	349 1.2×	186 0.7×	312 1.4×	57	2.0k
Bonaventura Bolíbar Spain	18	499 1.1×	289 0.8×	252 0.9×	473 1.8×	280 1.3×	61	1.8k
Kenneth Pietz United States	21	106 0.2×	537 1.4×	475 1.7×	205 0.8×	205 0.9×	39	1.5k
Stephanie H. Read United Kingdom	20	478 1.0×	157 0.4×	108 0.4×	234 0.9×	282 1.3×	51	1.4k
Catherine S. Barnes United States	10	948 2.0×	360 1.0×	242 0.9×	326 1.2×	390 1.8×	16	1.7k
Joseph P. Frolkis United States	12	199 0.4×	320 0.8×	200 0.7×	110 0.4×	457 2.1×	28	1.1k
Roberto Gnavi Italy	24	527 1.1×	219 0.6×	138 0.5×	402 1.5×	201 0.9×	78	1.4k
John D. Voss United States	14	250 0.5×	232 0.6×	178 0.6×	134 0.5×	56 0.3×	25	970
Van Doren Hsu United States	18	313 0.7×	165 0.4×	97 0.3×	77 0.3×	249 1.1×	37	1.5k

Countries citing papers authored by Bix E. Swain

Since Specialization

Citations

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

Fields of papers citing papers by Bix E. Swain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bix E. Swain. 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 Bix E. Swain. The network helps show where Bix E. Swain may publish in the future.

Co-authorship network of co-authors of Bix E. Swain

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

All Works

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17 of 17 papers shown

Roubinian, Nareg H., Gabriel J. Escobar, Vincent Liu, et al.. (2014). Trends in red blood cell transfusion and 30‐day mortality among hospitalized patients. Transfusion. 54(10pt2). 2678–2686. 58 indexed citations

Roubinian, Nareg H., Edward L. Murphy, Bix E. Swain, et al.. (2014). Predicting red blood cell transfusion in hospitalized patients: role of hemoglobin level, comorbidities, and illness severity. BMC Health Services Research. 14(1). 213–213. 29 indexed citations

Parker, Emily D., Karen L. Margolis, Nicole K. Trower, et al.. (2012). Comparative Effectiveness of 2 β-Blockers in Hypertensive Patients. Archives of Internal Medicine. 172(18). 1406–1406. 8 indexed citations

Schmittdiel, Julie A., Joe V. Selby, Bix E. Swain, et al.. (2011). Missed Opportunities in Cardiovascular Disease Prevention?. Hypertension. 57(4). 717–722. 33 indexed citations

Crosson, Jesse C., Michele Heisler, Usha Subramanian, et al.. (2010). Physicians' Perceptions of Barriers to Cardiovascular Disease Risk Factor Control among Patients with Diabetes: Results from the Translating Research into Action for Diabetes (TRIAD) Study. The Journal of the American Board of Family Medicine. 23(2). 171–178. 43 indexed citations

Selby, Joe V., Janelle Lee, Bix E. Swain, et al.. (2010). Trends in Time to Confirmation and Recognition of New-Onset Hypertension, 2002–2006. Hypertension. 56(4). 605–611. 24 indexed citations

Karter, Andrew J., Usha Subramanian, Chandan Saha, et al.. (2010). Barriers to Insulin Initiation. Diabetes Care. 33(4). 733–735. 204 indexed citations

Schmittdiel, Julie A., Susan L. Ettner, Vicki Fung, et al.. (2009). Medicare Part D coverage gap and diabetes beneficiaries.. PubMed. 15(3). 189–93. 25 indexed citations

Schmittdiel, Julie A., Susan L. Ettner, Victor Fung, et al.. (2008). Abstract C-C4-04: Entering and Exiting the Coverage Gap by Medicare Part D Beneficiaries With Diabetes: a TRIAD Study. Clinical Medicine & Research. 6(3-4). 129–130. 1 indexed citations

10.

Selby, Joe V., Bix E. Swain, Robert B. Gerzoff, et al.. (2007). Understanding the Gap Between Good Processes of Diabetes Care and Poor Intermediate Outcomes. Medical Care. 45(12). 1144–1153. 48 indexed citations

11.

Sadur, C N, Marco Costa, Debra R. Mendlowitz, et al.. (1999). Diabetes management in a health maintenance organization. Efficacy of care management using cluster visits.. Diabetes Care. 22(12). 2011–2017. 297 indexed citations

12.

Selby, Joe V., Bruce Ettinger, Bix E. Swain, & Judith Belle Brown. (1999). First 20 months' experience with use of metformin for type 2 diabetes in a large health maintenance organization.. Diabetes Care. 22(1). 38–44. 44 indexed citations

13.

Barron, Hal V., Sami Viskin, Robert J. Lundstrom, et al.. (1998). β-Blocker Dosages and Mortality After Myocardial Infarction. Archives of Internal Medicine. 158(5). 449–449. 43 indexed citations

14.

Barron, Hal V., Sami Viskin, Robert J. Lundstrom, et al.. (1997). Effect of β-adrenergic blocking agents on mortality rate in patients not revascularized after myocardial infarction: Data from a large HMO. American Heart Journal. 134(4). 608–613. 9 indexed citations

15.

Wong, Candice C., Erika Sivarajan Froelicher, Peter Bacchetti, et al.. (1997). Influence of gender on cardiovascular mortality in acute myocardial infarction patients with high indication for coronary angiography.. PubMed. 96(9 Suppl). II–51. 27 indexed citations

16.

Selby, Joe V., Bruce Fireman, & Bix E. Swain. (1996). Effect of a Copayment on Use of the Emergency Department in a Health Maintenance Organization. New England Journal of Medicine. 334(10). 635–642. 192 indexed citations

17.

Selby, Joe V., Bruce Fireman, Robert J. Lundstrom, et al.. (1996). Variation among Hospitals in Coronary-Angiography Practices and Outcomes after Myocardial Infarction in a Large Health Maintenance Organization. New England Journal of Medicine. 335(25). 1888–1896. 143 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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