M.I. Furman

1.6k total citations
17 papers, 1.3k citations indexed

About

M.I. Furman is a scholar working on Cardiology and Cardiovascular Medicine, Hematology and Internal Medicine. According to data from OpenAlex, M.I. Furman has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 9 papers in Hematology and 5 papers in Internal Medicine. Recurrent topics in M.I. Furman's work include Platelet Disorders and Treatments (9 papers), Antiplatelet Therapy and Cardiovascular Diseases (8 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). M.I. Furman is often cited by papers focused on Platelet Disorders and Treatments (9 papers), Antiplatelet Therapy and Cardiovascular Diseases (8 papers) and Venous Thromboembolism Diagnosis and Management (5 papers). M.I. Furman collaborates with scholars based in United States, Canada and Denmark. M.I. Furman's co-authors include Ary L. Goldberger, Lewis A. Lipsitz, Steven M. Pincus, Daniel T. Kaplan, M.R. BARNARD, Alan D. Michelson, Pascal J. Goldschmidt‐Clermont, V T Nachmias, D.H. Wachsstock and Daniel Safer and has published in prestigious journals such as Blood, Circulation Research and Biophysical Journal.

In The Last Decade

M.I. Furman

17 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.I. Furman United States 13 671 202 193 184 181 17 1.3k
Natasja M.S. de Groot Netherlands 30 3.0k 4.5× 33 0.2× 273 1.4× 62 0.3× 495 2.7× 238 3.8k
Stacy M. Meuer United States 34 220 0.3× 36 0.2× 77 0.4× 82 0.4× 897 5.0× 66 5.6k
Sander Verheule Netherlands 38 4.8k 7.2× 58 0.3× 319 1.7× 55 0.3× 1.2k 6.7× 116 5.5k
Christopher Moore United Kingdom 25 133 0.2× 72 0.4× 119 0.6× 93 0.5× 906 5.0× 53 2.0k
Wallace S. Foulds United Kingdom 34 84 0.1× 66 0.3× 108 0.6× 94 0.5× 1.0k 5.6× 111 3.6k
Gideon Koren United States 17 1.2k 1.8× 32 0.2× 195 1.0× 27 0.1× 843 4.7× 32 1.6k
Geoffrey G. Emerson United States 22 272 0.4× 61 0.3× 83 0.4× 30 0.2× 459 2.5× 58 1.8k
René Lerch Switzerland 24 932 1.4× 29 0.1× 261 1.4× 43 0.2× 559 3.1× 69 1.9k
Patrick Deegan United Kingdom 27 152 0.2× 109 0.5× 219 1.1× 683 3.7× 595 3.3× 96 2.4k
Paul L. Penar United States 26 156 0.2× 42 0.2× 288 1.5× 87 0.5× 519 2.9× 60 1.7k

Countries citing papers authored by M.I. Furman

Since Specialization
Citations

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

Fields of papers citing papers by M.I. Furman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.I. Furman

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

All Works

17 of 17 papers shown
1.
Bahouth, Fadel, Diab Mutlak, M.I. Furman, et al.. (2010). Relationship of functional mitral regurgitation to new-onset atrial fibrillation in acute myocardial infarction. Heart. 96(9). 683–688. 38 indexed citations
2.
Steg, Philippe Gabríel, Keith A.A. Fox, Kim A. Eagle, et al.. (2008). Mortality following placement of drug-eluting and bare-metal stents for ST-segment elevation acute myocardial infarction in the Global Registry of Acute Coronary Events. European Heart Journal. 30(3). 321–329. 90 indexed citations
3.
Frelinger, Andrew L., Joseph A. Jakubowski, M.R. BARNARD, et al.. (2008). The active metabolite of prasugrel inhibits adenosine diphosphate- and collagen-stimulated platelet procoagulant activities. Journal of Thrombosis and Haemostasis. 6(2). 359–365. 2 indexed citations
4.
Frelinger, Andrew L., Joseph A. Jakubowski, Yun Li, et al.. (2008). The active metabolite of prasugrel inhibits adenosine diphosphate- and collagen-stimulated platelet procoagulant activities. Journal of Thrombosis and Haemostasis. 6(2). 359–365. 33 indexed citations
5.
Linden, Matthew D., M.I. Furman, Andrew L. Frelinger, et al.. (2007). Indices of platelet activation and the stability of coronary artery disease. Journal of Thrombosis and Haemostasis. 5(4). 761–765. 94 indexed citations
6.
Frelinger, Andrew L., J.A. Jakubowski, M.R. BARNARD, et al.. (2007). The active metabolite of prasugrel inhibits ADP-stimulated thrombo-inflammatory markers of platelet activation: Influence of other blood cells, calcium, and aspirin. Journal of Thrombosis and Haemostasis. 98(1). 192–200. 5 indexed citations
7.
Darling, Chad E., Paolo Solari, Craig S. Smith, M.I. Furman, & Karin Przyklenk. (2007). ’Postconditioning’ the human heart: Multiple balloon inflations during primary angioplasty may confer cardioprotection. Basic Research in Cardiology. 102(3). 274–278. 76 indexed citations
8.
Michelson, Alan D., Matthew D. Linden, M.I. Furman, et al.. (2006). Evidence that pre‐existent variability in platelet response to ADP accounts for ‘clopidogrel resistance’. Journal of Thrombosis and Haemostasis. 5(1). 75–81. 70 indexed citations
9.
Furman, M.I., Lori A. Krueger, Matthew D. Linden, et al.. (2005). GPIIb–IIIa antagonists reduce thromboinflammatory processes in patients with acute coronary syndromes undergoing percutaneous coronary intervention. Journal of Thrombosis and Haemostasis. 3(2). 312–320. 39 indexed citations
10.
BARNARD, M.R., Matthew D. Linden, Andrew L. Frelinger, et al.. (2005). Effects of platelet binding on whole blood flow cytometry assays of monocyte and neutrophil procoagulant activity. Journal of Thrombosis and Haemostasis. 3(11). 2563–2570. 66 indexed citations
11.
Furman, M.I., Joel M. Gore, & Fred Anderson. (2004). Elevated leukocyte count and adverse hospital events in patients with acute coronary syndromes: findings from the global registry of acute coronary events (grace). ACC Current Journal Review. 13(3). 10–10. 4 indexed citations
12.
Kaplan, Daniel T., M.I. Furman, & Steve Pincus. (2002). Techniques for analyzing complexity in heart rate and beat-to-beat blood pressure signals. 243–246. 12 indexed citations
13.
Michelson, Alan D., Stephen Benoit, M.I. Furman, et al.. (1996). Effects of nitric oxide/EDRF on platelet surface glycoproteins. American Journal of Physiology-Heart and Circulatory Physiology. 270(5). H1640–H1648. 73 indexed citations
15.
Furman, M.I., et al.. (1994). Platelet tyrosine kinases and fibrinogen receptor activation.. Circulation Research. 75(1). 172–180. 25 indexed citations
16.
Goldschmidt‐Clermont, Pascal J., M.I. Furman, D.H. Wachsstock, et al.. (1992). The control of actin nucleotide exchange by thymosin beta 4 and profilin. A potential regulatory mechanism for actin polymerization in cells.. Molecular Biology of the Cell. 3(9). 1015–1024. 243 indexed citations
17.
Kaplan, Daniel T., et al.. (1991). Aging and the complexity of cardiovascular dynamics. Biophysical Journal. 59(4). 945–949. 364 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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