Craig M. Flory

2.5k total citations
35 papers, 1.8k citations indexed

About

Craig M. Flory is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Craig M. Flory has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 7 papers in Molecular Biology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Craig M. Flory's work include Immune Response and Inflammation (8 papers), Cell Adhesion Molecules Research (6 papers) and Neonatal Respiratory Health Research (5 papers). Craig M. Flory is often cited by papers focused on Immune Response and Inflammation (8 papers), Cell Adhesion Molecules Research (6 papers) and Neonatal Respiratory Health Research (5 papers). Craig M. Flory collaborates with scholars based in United States, Switzerland and Canada. Craig M. Flory's co-authors include Jeffrey S. Warren, Denis J. Schrier, Frank M. Collins, Peter A. Ward, Kenneth S. Kilgore, H. P. Friedl, Michael L. Jones, Mark E. Lesch, Ralph C. Schimmer and Christopher J. Bayne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Craig M. Flory

35 papers receiving 1.7k citations

Peers

Craig M. Flory
Matjaž Jeras Slovenia
Takaji Matsutani Japan
Sophie Chabot France
Vincenzo Mitolo Italy
Takeshi Yoshida United States
D Henriksen-DeStefano United States
Yoichi Moroi Japan
Pascale Alard United States
Mariana Maccioni Argentina
HW Ziegler-Heitbrock Germany
Matjaž Jeras Slovenia
Craig M. Flory
Citations per year, relative to Craig M. Flory Craig M. Flory (= 1×) peers Matjaž Jeras

Countries citing papers authored by Craig M. Flory

Since Specialization
Citations

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

Fields of papers citing papers by Craig M. Flory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Craig M. Flory

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

All Works

20 of 20 papers shown
1.
Flory, Craig M., et al.. (2020). A Preclinical Safety Study of Thyroid Hormone Instilled into the Lungs of Healthy Rats—an Investigational Therapy for ARDS. Journal of Pharmacology and Experimental Therapeutics. 376(1). 74–83. 8 indexed citations
2.
Gorr, Sven‐Ulrik, Craig M. Flory, & Robert J. Schumacher. (2019). In vivo activity and low toxicity of the second-generation antimicrobial peptide DGL13K. PLoS ONE. 14(5). e0216669–e0216669. 45 indexed citations
3.
Oppegard, Lisa M., Chaitanya A. Kulkarni, Craig M. Flory, et al.. (2018). Novel N-1 substituted fluoroquinolones inhibit human topoisomerase I activity and exhibit anti-proliferative activity. Investigational New Drugs. 37(2). 378–383. 7 indexed citations
4.
Jüngel, Astrid, Caroline Ospelt, T. Sunyer, et al.. (2009). Effect of the oral application of a highly selective MMP-13 inhibitor in three different animal models of rheumatoid arthritis. Annals of the Rheumatic Diseases. 69(5). 898–902. 64 indexed citations
5.
6.
Pelletier, Jean‐Pierre, Julio Fernandes, Julie Brunet, et al.. (2003). In vivo selective inhibition of mitogen‐activated protein kinase kinase 1/2 in rabbit experimental osteoarthritis is associated with a reduction in the development of structural changes. Arthritis & Rheumatism. 48(6). 1582–1593. 103 indexed citations
7.
Beck‐Schimmer, Beatrice, Ralph C. Schimmer, Hagen Schmal, et al.. (1998). Characterization of rat lung ICAM-1. Inflammation Research. 47(7). 308–315. 12 indexed citations
8.
Schimmer, Ralph C., Denis J. Schrier, Craig M. Flory, et al.. (1998). Streptococcal Cell Wall-Induced Arthritis: Requirements for IL-4, IL-10, IFN-γ, and Monocyte Chemoattractant Protein-1. The Journal of Immunology. 160(3). 1466–1471. 18 indexed citations
9.
Szaflarski, Jerzy P., et al.. (1997). Hypoxic-Ischemic Injury Induces Monocyte Chemoattractant Protein-1 Expression in Neonatal Rat Brain. Journal of Cerebral Blood Flow & Metabolism. 17(7). 759–770. 90 indexed citations
10.
Schimmer, Ralph C., Denis J. Schrier, Craig M. Flory, et al.. (1997). Streptococcal cell wall-induced arthritis. Requirements for neutrophils, P-selectin, intercellular adhesion molecule-1, and macrophage-inflammatory protein-2. The Journal of Immunology. 159(8). 4103–4108. 41 indexed citations
11.
Beck‐Schimmer, Beatrice, Ralph C. Schimmer, Roscoe L. Warner, et al.. (1997). Expression of Lung Vascular and Airway ICAM-1 after Exposure to Bacterial Lipopolysaccharide. American Journal of Respiratory Cell and Molecular Biology. 17(3). 344–352. 106 indexed citations
12.
Flory, Craig M., et al.. (1996). Role of intercellular adhesion molecule-1 in glucaninduced pulmonary granulomatosis in the rat. Journal of Laboratory and Clinical Medicine. 128(2). 181–193. 4 indexed citations
13.
Townson, David H., et al.. (1996). Expression of Monocyte Chemoattractant Protein-1 in the Corpus Luteum of the Rat1. Biology of Reproduction. 54(2). 513–520. 56 indexed citations
14.
Brieland, Joan K., Craig M. Flory, Michael L. Jones, et al.. (1995). Regulation of Monocyte Chemoattractant Protein-1 Gene Expression and Secretion in Rat Pulmonary Alveolar Macrophages by Lipopolysaccharide, Tumor Necrosis Factor-α, and Interleukin-1 β. American Journal of Respiratory Cell and Molecular Biology. 12(1). 104–109. 65 indexed citations
15.
Brieland, Joan K., Michael L. Jones, Craig M. Flory, et al.. (1993). Expression of Monocyte Chemoattractant Protein-1 (MCP-1) by Rat Alveolar Macrophages during Chronic Lung Injury. American Journal of Respiratory Cell and Molecular Biology. 9(3). 300–305. 40 indexed citations
16.
Warren, Jeffrey S., Michael L. Jones, & Craig M. Flory. (1993). Analysis of monocyte chemoattractant protein 1-mediated lung injury using rat lung organ cultures.. PubMed. 143(3). 894–906. 12 indexed citations
17.
Jones, Martin L., Michael S. Mulligan, Craig M. Flory, Peter A. Ward, & Jeffrey S. Warren. (1992). Potential role of monocyte chemoattractant protein 1/JE in monocyte/macrophage-dependent IgA immune complex alveolitis in the rat. The Journal of Immunology. 149(6). 2147–2154. 74 indexed citations
18.
Flory, Craig M. & Christopher J. Bayne. (1991). The influence of adrenergic and cholinergic agents on the chemiluminescent and mitogenic responses of leukocytes from the rainbow trout, Oncorhyncus mykiss. Developmental & Comparative Immunology. 15(3). 135–142. 29 indexed citations
19.
Płytycz, Barbara, et al.. (1989). Leukocytes of rainbow trout (Oncorhynchus mykiss) phonephros: Cell types producing superoxide anion. Developmental & Comparative Immunology. 13(3). 217–224. 47 indexed citations
20.

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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