Guy L. Reed
- Hematology top 0.5%
- Blood Coagulation and Thrombosis Mechanisms 26
- Platelet Disorders and Treatments 16
- Internal Medicine top 1%
- Venous Thromboembolism Diagnosis and Management 12
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- Heart Failure Treatment and Management 17
- Acute Myocardial Infarction Research 12
- Cancer Research top 5%
- Protease and Inhibitor Mechanisms 33
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- Blood properties and coagulation 29
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- Acute Ischemic Stroke Management 10
- Co-authors
- Aiilyan K. HoungMichael L. FitzgeraldJános PolgárInna P. GladyshevaGary R. MatsuedaSarah M. KingDaniel E. SingerRoman W. DeSanctis
- Journals
- Circulation (14 papers)Journal of Biological Chemistry (9 papers)International Journal of Molecular Sciences (7 papers)
- Partner nations
- United StatesBangladeshChina
In The Last Decade
Guy L. Reed
122 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 134
- Hematology 1.2k
- Internal Medicine 306
- Cardiology and Cardiovascular Medicine 1.4k
- Cancer Research 623
- Endocrine and Autonomic Systems 203
Countries citing papers authored by Guy L. Reed
This map shows the geographic impact of Guy L. Reed'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 Guy L. Reed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy L. Reed more than expected).
Fields of papers citing papers by Guy L. Reed
This network shows the impact of papers produced by Guy L. Reed. 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 Guy L. Reed. The network helps show where Guy L. Reed may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guy L. Reed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 14 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 23 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 2 | |
| 8 | 2017 | 24 | |
| 9 | 2017 | 22 | |
| 10 | 2016 | 36 | |
| 11 | 2015 | 7 | |
| 12 | 2015 | 25 | |
| 13 | 2010 | 121 | |
| 14 | 2008 | 45 | |
| 15 | 2006 | 122 | |
| 16 | 2004 | 101 | |
| 17 | 2003 | 58 | |
| 18 | 2003 | 37 | |
| 19 | 2000 | 102 | |
| 20 | 1997 | 7 |
About Guy L. Reed
Guy L. Reed is a scholar working on Hematology, Internal Medicine, Cancer Research, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 123 papers that have together received 4.4k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (33 papers), Blood properties and coagulation (29 papers), Blood Coagulation and Thrombosis Mechanisms (26 papers), Heart Failure Treatment and Management (17 papers), Platelet Disorders and Treatments (16 papers), Acute Myocardial Infarction Research (12 papers), Venous Thromboembolism Diagnosis and Management (12 papers) and Acute Ischemic Stroke Management (10 papers). The work is most often cited by research in Hematology (1.2k citations), Internal Medicine (306 citations), Cardiology and Cardiovascular Medicine (1.4k citations), Cancer Research (623 citations) and Endocrine and Autonomic Systems (203 citations). Guy L. Reed has collaborated with scholars based in United States, Bangladesh and China. Frequent co-authors include Aiilyan K. Houng, Michael L. Fitzgerald, János Polgár, Inna P. Gladysheva, Gary R. Matsueda, Sarah M. King, Daniel E. Singer, Roman W. DeSanctis, Ernest H. Picard and Ryan D. Sullivan. Their work appears in journals such as Circulation, Journal of Biological Chemistry, International Journal of Molecular Sciences, Biochemistry and Blood.
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.