Daniel J. Loegering

1.5k total citations
72 papers, 1.2k citations indexed

About

Daniel J. Loegering is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Daniel J. Loegering has authored 72 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Immunology, 21 papers in Molecular Biology and 19 papers in Physiology. Recurrent topics in Daniel J. Loegering's work include Immune Response and Inflammation (16 papers), Erythrocyte Function and Pathophysiology (12 papers) and Complement system in diseases (8 papers). Daniel J. Loegering is often cited by papers focused on Immune Response and Inflammation (16 papers), Erythrocyte Function and Pathophysiology (12 papers) and Complement system in diseases (8 papers). Daniel J. Loegering collaborates with scholars based in United States, Japan and Sweden. Daniel J. Loegering's co-authors include Michelle R. Lennartz, Naoaki Saito, Julie A. Stenken, Joseph E. Mazurkiewicz, Sameer Mehta, F. A. Blumenstock, Paul W. Gudewicz, Martin G. Schwacha, G. J. Grover and P. Weber and has published in prestigious journals such as The Journal of Cell Biology, The Journal of Immunology and PLoS ONE.

In The Last Decade

Daniel J. Loegering

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Loegering United States 19 458 400 182 134 132 72 1.2k
Michele Fuortes United States 13 366 0.8× 312 0.8× 165 0.9× 95 0.7× 119 0.9× 16 1.0k
Vitam Kodelja Germany 18 518 1.1× 770 1.9× 180 1.0× 97 0.7× 177 1.3× 26 1.8k
S Araki Japan 18 622 1.4× 448 1.1× 303 1.7× 193 1.4× 148 1.1× 49 1.5k
Junpei Asai Japan 22 703 1.5× 227 0.6× 234 1.3× 123 0.9× 110 0.8× 65 1.7k
Jürgen Dedio Germany 19 848 1.9× 370 0.9× 258 1.4× 165 1.2× 93 0.7× 27 1.8k
Kenneth M. Meyers United States 27 399 0.9× 556 1.4× 152 0.8× 106 0.8× 101 0.8× 93 2.3k
D Stibenz Germany 14 412 0.9× 248 0.6× 130 0.7× 85 0.6× 89 0.7× 53 999
Nicola Kouttab United States 28 711 1.6× 447 1.1× 179 1.0× 167 1.2× 150 1.1× 67 2.1k
J Wietzerbin France 21 522 1.1× 687 1.7× 197 1.1× 94 0.7× 266 2.0× 44 1.9k
Tomoaki Koga Japan 25 716 1.6× 489 1.2× 244 1.3× 130 1.0× 217 1.6× 67 1.7k

Countries citing papers authored by Daniel J. Loegering

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Loegering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Loegering. 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 Daniel J. Loegering. The network helps show where Daniel J. Loegering may publish in the future.

Co-authorship network of co-authors of Daniel J. Loegering

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Loegering. A scholar is included among the top collaborators of Daniel J. Loegering 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 Daniel J. Loegering. Daniel J. Loegering 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.
Keller, Rebecca S., Paul J. Feustel, M. Julia Brosnan, et al.. (2012). Ultrasound Biomicroscopy for Longitudinal Studies of Carotid Plaque Development in Mice: Validation with Histological Endpoints. PLoS ONE. 7(1). e29944–e29944. 11 indexed citations
2.
Lennartz, Michelle R., Paul J. Feustel, David Jones, et al.. (2011). Ligation of Macrophage Fcγ Receptors Recapitulates the Gene Expression Pattern of Vulnerable Human Carotid Plaques. PLoS ONE. 6(7). e21803–e21803. 11 indexed citations
3.
Lennartz, Michelle R., et al.. (2010). Long-term calibration considerations during subcutaneous microdialysis sampling in mobile rats. Biomaterials. 31(16). 4530–4539. 20 indexed citations
4.
Wang, Xiangdan, Michelle R. Lennartz, Daniel J. Loegering, & Julie A. Stenken. (2008). Multiplexed cytokine detection of interstitial fluid collected from polymeric hollow tube implants—A feasibility study. Cytokine. 43(1). 15–19. 22 indexed citations
5.
Loegering, Daniel J., et al.. (2006). Francisella tularensis LVS grown in macrophages has reduced ability to stimulate the secretion of inflammatory cytokines by macrophages in vitro. Microbial Pathogenesis. 41(6). 218–225. 28 indexed citations
6.
Ao, Xiaoping, et al.. (2005). In vivo microdialysis sampling of cytokines produced in mice given bacterial lipopolysaccharide. Journal of Microbiological Methods. 62(3). 327–336. 19 indexed citations
7.
Loegering, Daniel J. & Michelle R. Lennartz. (2002). Differential Effect of Fcγ Receptor Ligation on LPS-Stimulated TNF-α Secretion by Hepatic, Splenic, and Peritoneal Macrophages. Inflammation. 26(6). 305–310. 3 indexed citations
8.
Saito, Naoaki, et al.. (2000). Differential Requirement for Classic and Novel PKC Isoforms in Respiratory Burst and Phagocytosis in RAW 264.7 Cells. The Journal of Immunology. 165(5). 2809–2817. 144 indexed citations
9.
Wilcox, Brian D., et al.. (2000). IgG-Coated Erythrocytes Augment LPS-Stimulated TNF-α Secretion, TNF-α mRNA Levels, and TNF-α mRNA Stability in Macrophages. Biochemical and Biophysical Research Communications. 271(1). 70–74. 12 indexed citations
10.
Loegering, Daniel J., et al.. (1999). Role of an oxidative stress in the macrophage dysfunction caused by erythrophagocytosis. Free Radical Biology and Medicine. 27(11-12). 1455–1464. 12 indexed citations
11.
12.
13.
Loegering, Daniel J., et al.. (1995). The antioxidant, U74389, ameliorates the depression of vascular reactivity caused by lipopolysaccharide. Life Sciences. 57(20). PL321–PL326. 4 indexed citations
14.
Schwacha, Martin G., Paul W. Gudewicz, Judith A. Snyder, & Daniel J. Loegering. (1993). Depression of macrophage respiratory burst capacity and arachidonic acid release after Fc receptor-mediated phagocytosis. The Journal of Immunology. 150(1). 236–245. 16 indexed citations
15.
Schwacha, Martin G. & Daniel J. Loegering. (1992). Corynebacterium parvum can Reverse the Depression of Macrophage Hydrogen Peroxide Production Caused by Erythrocyte Phagocytosis. Immunological Investigations. 21(3). 231–239. 1 indexed citations
16.
Loegering, Daniel J. & Martin G. Schwacha. (1991). Macrophage hydrogen peroxide production and phagocytic function are decreased following phagocytosis mediated by Fc receptors but not complement receptors. Biochemical and Biophysical Research Communications. 180(1). 268–272. 10 indexed citations
17.
18.
Loegering, Daniel J., et al.. (1990). Effect of phagocytosis of erythrocytes and erythrocyte ghosts on macrophage phagocytic function and hydrogen peroxide production. Inflammation. 14(6). 705–716. 29 indexed citations
19.
Loegering, Daniel J., F. A. Blumenstock, & Brian G. Cuddy. (1989). Determination of Kupffer Cell Fc Receptor Function In Vivo following Injury. Experimental Biology and Medicine. 192(3). 255–260. 10 indexed citations
20.
Loegering, Daniel J., et al.. (1984). Effect of extravascular hemolysis on the RES depression following thermal injury. Experimental and Molecular Pathology. 40(3). 271–279. 8 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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