Glenn Peer
- Hematology top 2%
- Blood Coagulation and Thrombosis Mechanisms 4
- Internal Medicine top 5%
- Immunology top 10%
- Immune Response and Inflammation 6
- Complement system in diseases 3
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
- Inflammation biomarkers and pathways 2
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- Trauma, Hemostasis, Coagulopathy, Resuscitation 2
- Epidemiology top 10%
- Sepsis Diagnosis and Treatment 10
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- S100 Proteins and Annexins 3
- Co-authors
- Fletcher B. TaylorCharles T. EsmonGary FerrellCristina LupuFlorea LupuGary T. KinasewitzLacramioara IvanciuHua Zhu
- Partner nations
- United StatesNorwayNetherlands
In The Last Decade
Glenn Peer
19 papers receiving 931 citations
Peers
Comparison fields: 5 of 82
- Hematology 369
- Internal Medicine 116
- Immunology 358
- Critical Care and Intensive Care Medicine 74
- Epidemiology 302
Countries citing papers authored by Glenn Peer
This map shows the geographic impact of Glenn Peer'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 Glenn Peer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn Peer more than expected).
Fields of papers citing papers by Glenn Peer
This network shows the impact of papers produced by Glenn Peer. 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 Glenn Peer. The network helps show where Glenn Peer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Glenn Peer, 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 | 2015 | 33 | |
| 2 | 2013 | 31 | |
| 3 | 2010 | 150 | |
| 4 | 2010 | 1 | |
| 5 | 2007 | 69 | |
| 6 | 2007 | 20 | |
| 7 | 2007 | 53 | |
| 8 | 2005 | 88 | |
| 9 | 2004 | 53 | |
| 10 | 2003 | 21 | |
| 11 | 2001 | 33 | |
| 12 | Comparison of the responses of global tests of coagulation with molecular markers of neutrophil, endothelial, and hemostatic system perturbation in the baboon model of E. colisepsis--toward a distinction between uncompensated overt DIC and compensated non-overt DIC. | 2001 | 17 |
| 13 | 2001 | 16 | |
| 14 | 2001 | 214 | |
| 15 | 2000 | 21 | |
| 16 | 2000 | 3 | |
| 17 | 1996 | 15 | |
| 18 | 1995 | 1 | |
| 19 | 1992 | 109 |
About Glenn Peer
Glenn Peer is a scholar working on Critical Care and Intensive Care Medicine, Immunology, Hematology, Epidemiology and Endocrinology, having authored 19 papers that have together received 948 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (10 papers), Immune Response and Inflammation (6 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Complement system in diseases (3 papers), S100 Proteins and Annexins (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Inflammation biomarkers and pathways (2 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers). The work is most often cited by research in Hematology (369 citations), Internal Medicine (116 citations), Immunology (358 citations), Critical Care and Intensive Care Medicine (74 citations) and Epidemiology (302 citations). Glenn Peer has collaborated with scholars based in United States, Norway and Netherlands. Frequent co-authors include Fletcher B. Taylor, Charles T. Esmon, Gary Ferrell, Cristina Lupu, Florea Lupu, Gary T. Kinasewitz, Lacramioara Ivanciu, Hua Zhu, Narcis I. Popescu and Alvin Chang. Their work appears in journals such as Shock, Blood, American Journal Of Pathology, Journal of Cellular and Molecular Medicine and Molecular Immunology.
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.