Daniel M. Reed

938 total citations
18 papers, 564 citations indexed

About

Daniel M. Reed is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Daniel M. Reed has authored 18 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Immunology. Recurrent topics in Daniel M. Reed's work include Angiogenesis and VEGF in Cancer (4 papers), Pulmonary Hypertension Research and Treatments (3 papers) and Aortic Disease and Treatment Approaches (2 papers). Daniel M. Reed is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Pulmonary Hypertension Research and Treatments (3 papers) and Aortic Disease and Treatment Approaches (2 papers). Daniel M. Reed collaborates with scholars based in United Kingdom, United States and Qatar. Daniel M. Reed's co-authors include T. Hayashi, Grant N. Stemmermann, Jane A. Mitchell, Nicholas S. Kirkby, William R. H. Wright, Nura A. Mohamed, Blerina Ahmetaj‐Shala, Gábor Földes, Siân E. Harding and Louise S. Mackenzie and has published in prestigious journals such as Circulation, PLoS ONE and Circulation Research.

In The Last Decade

Daniel M. Reed

17 papers receiving 548 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 M. Reed United Kingdom 11 281 158 130 96 92 18 564
Anna Guarino Italy 15 151 0.5× 131 0.8× 274 2.1× 96 1.0× 48 0.5× 37 559
Kiyoko Takemiya Japan 9 111 0.4× 223 1.4× 141 1.1× 179 1.9× 30 0.3× 15 562
Ayed Allawzi United States 15 226 0.8× 42 0.3× 94 0.7× 192 2.0× 55 0.6× 19 547
Diederik F. van Wijk Netherlands 14 83 0.3× 136 0.9× 193 1.5× 108 1.1× 171 1.9× 22 586
Junmeng Zheng China 13 102 0.4× 83 0.5× 101 0.8× 292 3.0× 77 0.8× 41 616
Magdolna Nagy Netherlands 15 117 0.4× 194 1.2× 102 0.8× 128 1.3× 85 0.9× 49 701
Shahriar Shahzeidi United States 12 577 2.1× 22 0.1× 115 0.9× 256 2.7× 83 0.9× 14 922
J. Hinnie United Kingdom 10 84 0.3× 78 0.5× 114 0.9× 102 1.1× 19 0.2× 26 537
Cuilian Dai China 13 67 0.2× 57 0.4× 115 0.9× 201 2.1× 109 1.2× 36 586
Xiucheng Liu China 15 115 0.4× 41 0.3× 70 0.5× 190 2.0× 69 0.8× 39 480

Countries citing papers authored by Daniel M. Reed

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel M. Reed

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

All Works

18 of 18 papers shown
1.
Ahmetaj‐Shala, Blerina, Isra Marei, Zacharoula Nikolakopoulou, et al.. (2019). A bioassay system of autologous human endothelial, smooth muscle cells, and leukocytes for use in drug discovery, phenotyping, and tissue engineering. The FASEB Journal. 34(1). 1745–1754. 4 indexed citations
2.
Mitchell, Jane A., Nicholas S. Kirkby, Daniel M. Reed, et al.. (2018). Kidney Transplantation in a Patient Lacking Cytosolic Phospholipase A 2 Proves Renal Origins of Urinary PGI-M and TX-M. Circulation Research. 122(4). 555–559. 24 indexed citations
3.
O’Neill, Mark A., et al.. (2017). Using SDS–PAGE gel fingerprinting to identify soft‐bodied wood‐boring insect larvae to species. Pest Management Science. 74(3). 705–714. 3 indexed citations
4.
Mohamed, Nura A., Robert P. Davies, Paul D. Lickiss, et al.. (2017). Chemical and biological assessment of metal organic frameworks (MOFs) in pulmonary cells and in an acute in vivo model: relevance to pulmonary arterial hypertension therapy. Pulmonary Circulation. 7(3). 643–653. 34 indexed citations
5.
Grimaldi, Christine, Deborah Finco, Madeline Fort, et al.. (2016). Cytokine release: A workshop proceedings on the state-of-the-science, current challenges and future directions. Cytokine. 85. 101–108. 32 indexed citations
6.
7.
Mohamed, Nura A., Paul D. Lickiss, Hira Saleem, et al.. (2016). Metal Organic Framework as a Potential Drug Carrier for Pulmonary Arterial Hypertension. 1 indexed citations
8.
Reed, Daniel M., Koralia Paschalaki, Richard Starke, et al.. (2015). An autologous endothelial cell:peripheral blood mononuclear cell assay that detects cytokine storm responses to biologics. The FASEB Journal. 29(6). 2595–2602. 17 indexed citations
9.
Kirkby, Nicholas S., Daniel M. Reed, Matthew L. Edin, et al.. (2015). Inherited human group IVA cytosolic phospholipase A 2 deficiency abolishes platelet, endothelial, and leucocyte eicosanoid generation. The FASEB Journal. 29(11). 4568–4578. 24 indexed citations
10.
Reed, Daniel M., Gábor Földes, Nicholas S. Kirkby, et al.. (2014). Morphology and vasoactive hormone profiles from endothelial cells derived from stem cells of different sources. Biochemical and Biophysical Research Communications. 455(3-4). 172–177. 7 indexed citations
11.
Mitchell, Jane A., Blerina Ahmetaj‐Shala, Nicholas S. Kirkby, et al.. (2014). Role of prostacyclin in pulmonary hypertension. Global Cardiology Science and Practice. 2014(4). 53–53. 59 indexed citations
12.
Reed, Daniel M., Gábor Földes, Timothy Gatheral, et al.. (2014). Pathogen Sensing Pathways in Human Embryonic Stem Cell Derived-Endothelial Cells: Role of NOD1 Receptors. PLoS ONE. 9(4). e91119–e91119. 15 indexed citations
13.
Wright, William R. H., et al.. (2013). Cyclooxygenase and cytokine regulation in lung fibroblasts activated with viral versus bacterial pathogen associated molecular patterns. Prostaglandins & Other Lipid Mediators. 107. 4–12. 8 indexed citations
14.
Gatheral, Timothy, Daniel M. Reed, Laura Moreno, et al.. (2012). A Key Role for the Endothelium in NOD1 Mediated Vascular Inflammation: Comparison to TLR4 Responses. PLoS ONE. 7(8). e42386–e42386. 37 indexed citations
15.
Paul‐Clark, Mark J., Peter M. George, Timothy Gatheral, et al.. (2012). Pharmacology and therapeutic potential of pattern recognition receptors. Pharmacology & Therapeutics. 135(2). 200–215. 32 indexed citations
16.
Reed, Daniel M., Gábor Földes, Siân E. Harding, & Jane A. Mitchell. (2012). Stem cell‐derived endothelial cells for cardiovascular disease: a therapeutic perspective. British Journal of Clinical Pharmacology. 75(4). 897–906. 26 indexed citations
17.
Reed, Daniel M., Gábor Földes, Timothy Gatheral, et al.. (2011). ENDOTHELIN-1 RELEASE FROM HUMAN EMBRYONIC STEM CELL DERIVED-ENDOTHELIAL CELLS (HESC-EC): COMPARISONS WITH HUMAN ENDOTHELIAL CELLS. RVC Research Online (Royal Veterinary College).
18.
Reed, Daniel M., et al.. (1992). Are aortic aneurysms caused by atherosclerosis?. Circulation. 85(1). 205–211. 239 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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