Daniel T. Redford

25 total papers · 762 total citations
19 papers, 478 citations indexed

About

Daniel T. Redford is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Daniel T. Redford has authored 19 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Genetics. Recurrent topics in Daniel T. Redford's work include Rabies epidemiology and control (5 papers), Venomous Animal Envenomation and Studies (5 papers) and Anesthesia and Neurotoxicity Research (3 papers). Daniel T. Redford is often cited by papers focused on Rabies epidemiology and control (5 papers), Venomous Animal Envenomation and Studies (5 papers) and Anesthesia and Neurotoxicity Research (3 papers). Daniel T. Redford collaborates with scholars based in United States and Spain. Daniel T. Redford's co-authors include Steven J. Barker, Scott E. Morgan, Vance G. Nielsen, Douglas F. Larson, Faisal M. Kashif, Fayez K. Ghishan, Pawel R. Kiela, Katri Typpo, Claire B. Larmonier and Mario Patiño and has published in prestigious journals such as Anesthesiology, Anesthesia & Analgesia and Pediatric Critical Care Medicine.

In The Last Decade

Daniel T. Redford

19 papers receiving 470 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Daniel T. Redford	115	112	102	95	75	19	478
Emily T. Farrell	76 0.7×	126 1.1×	148 1.5×	50 0.5×	106 1.4×	22	459
Thomas H. Gardner	107 0.9×	42 0.4×	147 1.4×	56 0.6×	166 2.2×	24	474
Margrit Fasnacht	128 1.1×	78 0.7×	220 2.2×	34 0.4×	151 2.0×	25	480
Turlough O’Donnell	143 1.2×	54 0.5×	68 0.7×	29 0.3×	27 0.4×	24	450
Simon C. Hillier	103 0.9×	33 0.3×	181 1.8×	44 0.5×	120 1.6×	21	503
Erwin Kitzmüller	117 1.0×	93 0.8×	114 1.1×	34 0.4×	96 1.3×	29	551
Stanley D. Poole	54 0.5×	85 0.8×	131 1.3×	66 0.7×	84 1.1×	22	423
R. Blair Dodson	155 1.3×	34 0.3×	121 1.2×	101 1.1×	107 1.4×	18	441
F. A. Duff	139 1.2×	54 0.5×	65 0.6×	28 0.3×	165 2.2×	28	462
Tuhin K. Roy	73 0.6×	35 0.3×	117 1.1×	33 0.3×	120 1.6×	30	453

Countries citing papers authored by Daniel T. Redford

Since Specialization

Citations

This map shows the geographic impact of Daniel T. Redford'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 T. Redford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Redford more than expected).

Fields of papers citing papers by Daniel T. Redford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel T. Redford

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

All Works

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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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