Marc J. Schweiger

2.4k total citations
55 papers, 1.7k citations indexed

About

Marc J. Schweiger is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marc J. Schweiger has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cardiology and Cardiovascular Medicine, 31 papers in Surgery and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marc J. Schweiger's work include Acute Myocardial Infarction Research (28 papers), Coronary Interventions and Diagnostics (25 papers) and Cardiac Imaging and Diagnostics (13 papers). Marc J. Schweiger is often cited by papers focused on Acute Myocardial Infarction Research (28 papers), Coronary Interventions and Diagnostics (25 papers) and Cardiac Imaging and Diagnostics (13 papers). Marc J. Schweiger collaborates with scholars based in United States, United Kingdom and Belgium. Marc J. Schweiger's co-authors include Eugene Braunwald, Christopher P. Cannon, Hiltrud S. Mueller, Carolyn H. McCabe, Robert P. Giugliano, Sabina A. Murphy, C. Michael Gibson, Michael T. Henry, Frans Van de Werf and D. S. Ó’Ríordáin and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The American Journal of Cardiology.

In The Last Decade

Marc J. Schweiger

55 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc J. Schweiger United States	20	1.1k	717	492	275	261	55	1.7k
Pekka Porela Finland	20	1.0k 0.9×	343 0.5×	243 0.5×	143 0.5×	142 0.5×	41	1.3k
HR Büller Netherlands	10	540 0.5×	413 0.6×	104 0.2×	944 3.4×	297 1.1×	18	1.6k
Pı̈erre Ambrosi France	18	862 0.8×	512 0.7×	129 0.3×	31 0.1×	693 2.7×	71	1.8k
Luigi Fenoglio Italy	14	151 0.1×	275 0.4×	51 0.1×	215 0.8×	244 0.9×	46	814
Shankar Kumar United Kingdom	16	171 0.2×	184 0.3×	128 0.3×	99 0.4×	260 1.0×	43	813
Jeffrey C. Milliken United States	21	374 0.3×	542 0.8×	142 0.3×	21 0.1×	353 1.4×	72	1.3k
Yuichi J. Shimada United States	23	1.2k 1.1×	355 0.5×	189 0.4×	134 0.5×	276 1.1×	86	1.7k
Perwaiz Meraj United States	18	750 0.7×	975 1.4×	394 0.8×	76 0.3×	127 0.5×	67	1.6k
Ángel Sánchez‐Recalde Spain	20	1.4k 1.2×	843 1.2×	363 0.7×	43 0.2×	611 2.3×	181	1.8k
Germano DiSciascio United States	22	1.9k 1.7×	2.1k 3.0×	985 2.0×	158 0.6×	103 0.4×	66	2.8k

Countries citing papers authored by Marc J. Schweiger

Since Specialization

Citations

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

Fields of papers citing papers by Marc J. Schweiger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc J. Schweiger. 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 Marc J. Schweiger. The network helps show where Marc J. Schweiger may publish in the future.

Co-authorship network of co-authors of Marc J. Schweiger

This figure shows the co-authorship network connecting the top 25 collaborators of Marc J. Schweiger. A scholar is included among the top collaborators of Marc J. Schweiger 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 Marc J. Schweiger. Marc J. Schweiger 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

Halim, Sharif, Robert M. Clare, L. Kristin Newby, et al.. (2015). Frequency, clinical and angiographic characteristics, and outcomes of high-risk non-ST-segment elevation acute coronary syndromes patients with left circumflex culprit lesions. International Journal of Cardiology. 203. 708–713. 3 indexed citations

Schweiger, Marc J., et al.. (2014). Does Knowledge of the Cost of Cardiovascular Tests Influence Physician Ordering Patterns?. Hospital Practice. 42(4). 46–52. 2 indexed citations

Lotfi, Amir, Cui Jiang, Jesse A. Columbo, et al.. (2011). Influence of Low‐Dose Aspirin (81 mg) on the Incidence of Definite Stent Thrombosis in Patients Receiving Bare‐Metal and Drug‐Eluting Stents. Clinical Cardiology. 34(9). 567–571. 3 indexed citations

Lotfi, Amir, Marc J. Schweiger, Gregory Giugliano, Sabina A. Murphy, & Christopher P. Cannon. (2008). High-dose atorvastatin does not negatively influence clinical outcomes among clopidogrel treated acute coronary syndrome patients—A Pravastatin or Atorvastatin Evaluation and Infection Therapy–Thrombolysis in Myocardial Infarction 22 (PROVE IT–TIMI 22) analysis. American Heart Journal. 155(5). 954–958. 28 indexed citations

Giugliano, Robert P., Stephen D. Wiviott, Peter H. Stone, et al.. (2007). Recombinant Nematode Anticoagulant Protein c2 in Patients With Non–ST-Segment Elevation Acute Coronary Syndrome. Journal of the American College of Cardiology. 49(25). 2398–2407. 58 indexed citations

Dokainish, Hisham, Manu Pillai, Sabina A. Murphy, et al.. (2004). Prognostic implications of elevated troponin in patients with suspected acute coronary syndrome but no critical epicardial coronary disease. Journal of the American College of Cardiology. 45(1). 19–24. 96 indexed citations

Cannon, Christopher P., M. Cecilia Bahit, Timothy D. Henry, et al.. (2002). Underutilization of Evidence-Based Medications in Acute ST Elevation Myocardial Infarction. Critical Pathways in Cardiology A Journal of Evidence-Based Medicine. 1(1). 44–52. 20 indexed citations

Schweiger, Marc J., Christopher P. Cannon, Sabina A. Murphy, et al.. (2001). Early coronary intervention following pharmacologic therapy for acute myocardial infarction (the combined TIMI 10B–TIMI 14 experience). The American Journal of Cardiology. 88(8). 831–836. 41 indexed citations

Lemos, James A. de, C. Michael Gibson, Elliott M. Antman, et al.. (2001). Abciximab and early adjunctive percutaneous coronary intervention are associated with improved ST-segment resolution after thrombolysis: Observations from the TIMI 14 Trial. American Heart Journal. 141(4). 592–598. 32 indexed citations

10.

Gibson, C. Michael, Sabina A. Murphy, Ian Menown, et al.. (1999). Determinants of coronary blood flow after thrombolytic administration. Journal of the American College of Cardiology. 34(5). 1403–1412. 58 indexed citations

11.

Kizer, Jorge R., Christopher P. Cannon, Carolyn H. McCabe, et al.. (1999). Trends in the use of pharmacotherapies for acute myocardial infarction among physicians who design and/or implement randomized trials versus physicians in routine clinical practice: the MILIS-TIMI experience. American Heart Journal. 137(1). 79–92. 38 indexed citations

12.

Gibson, C. Michael, Christopher P. Cannon, Sabina A. Murphy, et al.. (1999). Weight-adjusted dosing of TNK-tissue plasminogen activator and its relation to angiographic outcomes in the thrombolysis in myocardial infarction 10B trial. The American Journal of Cardiology. 84(9). 976–980. 26 indexed citations

13.

Gibson, Michael, et al.. (1998). Outcomes of adjunctive PTCA/stenting for TIMI grade 2 flow following thrombolysis. Journal of the American College of Cardiology. 31. 231–231. 1 indexed citations

14.

Giugliano, Robert P., Timothy D. Henry, Robert N. Piana, et al.. (1998). Dose ranging study of intravenous RPR 109891 in patients with acute coronary syndromes — results of TIMI 15A. Journal of the American College of Cardiology. 31. 93–94. 2 indexed citations

15.

Cannon, Christopher P., Peter Sharis, Marc J. Schweiger, et al.. (1997). Prospective Validation of a Composite End Point in Thrombolytic Trials of Acute Myocardial Infarction (TIMI 4 and 5). The American Journal of Cardiology. 80(6). 696–699. 15 indexed citations

16.

Bittl, John A., Mark W. Wolfe, Gary S. Roubin, et al.. (1995). 1017-74 Length of Hospital Stay After Percutaneous Transluminal Coronary Angioplasty: Clinical and Angiographic Predictors. Journal of the American College of Cardiology. 25(2). 392A–392A. 1 indexed citations

17.

Cannon, Christopher P., Carolyn H. McCabe, Timothy D. Henry, et al.. (1994). A pilot trial of recombinant desulfatohirudin compared with heparin in conjunction with tissue-type plasminogen activator and aspirin for acute myocardial infarction: Results of the Thrombolysis in Myocardial Infarction (TIMI) 5 trial. Journal of the American College of Cardiology. 23(5). 993–1003. 180 indexed citations

18.

Schweiger, Marc J., Robert P. McMahon, Michael L. Terrin, et al.. (1994). Comparison of patients with <60% to ≥60% diameter narrowing of the myocardial infarct-related artery after thrombolysis. The American Journal of Cardiology. 74(2). 105–110. 16 indexed citations

19.

Schweiger, Marc J., et al.. (1991). Hematocrit fluctuations after percutaneous transluminal coronary angioplasty. The American Journal of Cardiology. 68(9). 977–978. 6 indexed citations

20.

Schweiger, Marc J., et al.. (1988). Long-term follow-up and influence of symptom-free interval on restenosis after repeat percutaneous transluminal coronary angioplasty. The American Journal of Cardiology. 62(7). 476–478. 7 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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