Glenn Peer

1.2k total citations
19 papers, 948 citations indexed

About

Glenn Peer is a scholar working on Epidemiology, Immunology and Molecular Biology. According to data from OpenAlex, Glenn Peer has authored 19 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 10 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Glenn Peer's work include Sepsis Diagnosis and Treatment (10 papers), Immune Response and Inflammation (6 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). Glenn Peer is often cited by papers focused on Sepsis Diagnosis and Treatment (10 papers), Immune Response and Inflammation (6 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). Glenn Peer collaborates with scholars based in United States, Norway and Netherlands. Glenn Peer's 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 and has published in prestigious journals such as Blood, Critical Care Medicine and American Journal Of Pathology.

In The Last Decade

Glenn Peer

19 papers receiving 931 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glenn Peer United States 16 369 358 302 171 117 19 948
JW ten Cate Netherlands 7 372 1.0× 418 1.2× 353 1.2× 163 1.0× 150 1.3× 8 1.1k
F B Taylor United States 14 464 1.3× 370 1.0× 336 1.1× 145 0.8× 139 1.2× 18 1.1k
Lisa J. Toltl Canada 14 345 0.9× 304 0.8× 330 1.1× 239 1.4× 120 1.0× 17 1.1k
G. Peer United States 12 499 1.4× 245 0.7× 320 1.1× 97 0.6× 58 0.5× 20 939
Hideo Wada Japan 13 251 0.7× 156 0.4× 168 0.6× 106 0.6× 109 0.9× 32 698
A. C. K. Chang United States 7 427 1.2× 172 0.5× 203 0.7× 110 0.6× 95 0.8× 10 738
Cristina Lupu United States 22 593 1.6× 433 1.2× 271 0.9× 340 2.0× 198 1.7× 49 1.5k
PM Jansen Netherlands 9 231 0.6× 251 0.7× 203 0.7× 68 0.4× 62 0.5× 11 660
Christoph Caliezi Switzerland 7 186 0.5× 329 0.9× 135 0.4× 111 0.6× 47 0.4× 13 704
G Ferrell United States 9 817 2.2× 181 0.5× 277 0.9× 108 0.6× 74 0.6× 10 1.1k

Countries citing papers authored by Glenn Peer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Glenn Peer

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

All Works

19 of 19 papers shown
1.
Silasi‐Mansat, Robert, Hua Zhu, Constantin Georgescu, et al.. (2015). Complement inhibition decreases early fibrogenic events in the lung of septic baboons. Journal of Cellular and Molecular Medicine. 19(11). 2549–2563. 33 indexed citations
2.
Keshari, Ravi S., Robert Silasi‐Mansat, Hua Zhu, et al.. (2013). Acute Lung Injury and Fibrosis in a Baboon Model of Escherichia coli Sepsis. American Journal of Respiratory Cell and Molecular Biology. 50(2). 439–450. 31 indexed citations
3.
Silasi‐Mansat, Robert, Hua Zhu, Narcis I. Popescu, et al.. (2010). Complement inhibition decreases the procoagulant response and confers organ protection in a baboon model of Escherichia coli sepsis. Blood. 116(6). 1002–1010. 150 indexed citations
4.
Lupu, Florea, Robert Silasi‐Mansat, Hua Zhu, et al.. (2010). Complement inhibition decreases the procoagulant response and confers organ protection in a baboon model of E. coli sepsis. Molecular Immunology. 47(13). 2289–2289. 1 indexed citations
5.
Ivanciu, Lacramioara, Narcis I. Popescu, Glenn Peer, et al.. (2007). Sepsis-Induced Coagulation in the Baboon Lung Is Associated with Decreased Tissue Factor Pathway Inhibitor. American Journal Of Pathology. 171(3). 1066–1077. 69 indexed citations
6.
Oettinger, Carl W., et al.. (2007). Pro-inflammatory cytokine inhibition in the primate using microencapsulated antisense oligomers to NF-κB. Journal of Microencapsulation. 24(4). 337–348. 20 indexed citations
7.
Taylor, Fletcher B., et al.. (2007). Thrombin-thrombomodulin connects coagulation and fibrinolysis: more than an in vitro phenomenon. Blood. 110(9). 3168–3175. 53 indexed citations
8.
Lupu, Cristina, Andrew D. Westmuckett, Glenn Peer, et al.. (2005). Tissue Factor-Dependent Coagulation Is Preferentially Up-Regulated within Arterial Branching Areas in a Baboon Model of Escherichia coli Sepsis. American Journal Of Pathology. 167(4). 1161–1172. 88 indexed citations
9.
Mehta, Ashish, Manjil Chatterji, Mikhail N. Zoubine, et al.. (2004). INFECTION-INDUCED MODULATION OF M1 AND M2 PHENOTYPES IN CIRCULATING MONOCYTES: ROLE IN IMMUNE MONITORING AND EARLY PROGNOSIS OF SEPSIS. Shock. 22(5). 423–430. 53 indexed citations
10.
Kaneko, Toshihiro, Deborah J. Stearns-Kurosawa, Fletcher B. Taylor, et al.. (2003). Reduced Neutrophil CD10 Expression in Nonhuman Primates and Humans After In Vivo Challenge with E. coli or Lipopolysaccharide. Shock. 20(2). 130–137. 21 indexed citations
11.
12.
Wada, Hideo, Akiko Inoue, Hiroshi Shiku, et al.. (2001). 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.. PubMed. 86(6). 1489–94. 17 indexed citations
13.
Wada, Hideo, Akiko Inoue, Hiroshi Shiku, et al.. (2001). 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. coli Sepsis. Thrombosis and Haemostasis. 86(12). 1489–1494. 16 indexed citations
14.
Taylor, Fletcher B., et al.. (2001). Endothelial cell protein C receptor plays an important role in protein C activation in vivo. Blood. 97(6). 1685–1688. 214 indexed citations
15.
Kinasewitz, Gary T., Alvin Chang, Glenn Peer, Lerner B. Hinshaw, & Fletcher B. Taylor. (2000). PERITONITIS IN THE BABOON: A PRIMATE MODEL WHICH SIMULATES HUMAN SEPSIS. Shock. 13(2). 100–109. 21 indexed citations
16.
17.
Li, Anguo, Alvin Chang, Glenn Peer, Lerner B. Hinshaw, & Fletcher B. Taylor. (1996). COMPARISON OF THE CAPACITY OF rhTNF-α AND ESCHERICHIA COLI TO INDUCE PROCOAGULANT ACTIVITY BY BABOON MONONUCLEAR CELLS IN VIVO AND IN VITRO. Shock. 5(4). 274–279. 15 indexed citations
18.
Li, Anguo, et al.. (1995). Functional assay of plasma antithrombin using polyethylene glycol (PEG) defibrinated plasma. Thrombosis Research. 79(4). 395–403. 1 indexed citations
19.
Hinshaw, Lerner B., Thomas E. Emerson, Fletcher B. Taylor, et al.. (1992). LETHAL STAPHYLOCOCCUS AUREUS-INDUCED SHOCK IN PRIMATES. The Journal of Trauma: Injury, Infection, and Critical Care. 33(4). 568–573. 109 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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