Danielle J. McCullough

43 total papers · 1.1k total citations
26 papers, 808 citations indexed

About

Danielle J. McCullough is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Danielle J. McCullough has authored 26 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Physiology. Recurrent topics in Danielle J. McCullough's work include High Altitude and Hypoxia (7 papers), Cardiovascular and exercise physiology (5 papers) and Heart Rate Variability and Autonomic Control (5 papers). Danielle J. McCullough is often cited by papers focused on High Altitude and Hypoxia (7 papers), Cardiovascular and exercise physiology (5 papers) and Heart Rate Variability and Autonomic Control (5 papers). Danielle J. McCullough collaborates with scholars based in United States, Germany and Brazil. Danielle J. McCullough's co-authors include Bradley J. Behnke, John N. Stabley, Dietmar W. Siemann, Robert T. Davis, Michael D. Delp, Judy M. Muller‐Delp, James M. Dominguez, Linda M.‐D. Nguyen, Christian S. Bruells and Alexander Vang and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, The FASEB Journal and Journal of Applied Physiology.

In The Last Decade

Danielle J. McCullough

26 papers receiving 792 citations

Author Peers

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

Author Last Decade Papers Cites
Danielle J. McCullough 338 185 176 119 111 26 808
John N. Stabley 329 1.0× 130 0.7× 128 0.7× 76 0.6× 142 1.3× 22 834
Greta L. Hoetzer 269 0.8× 342 1.8× 80 0.5× 109 0.9× 210 1.9× 23 855
Rafael Alis 330 1.0× 103 0.6× 80 0.5× 62 0.5× 167 1.5× 45 864
Sheldon Magder 180 0.5× 261 1.4× 155 0.9× 62 0.5× 123 1.1× 28 890
C.R.S. Houghton 320 0.9× 83 0.4× 185 1.1× 65 0.5× 245 2.2× 28 1.0k
Antonios Halapas 131 0.4× 140 0.8× 93 0.5× 28 0.2× 380 3.4× 35 845
Tadakatsu Inagaki 213 0.6× 135 0.7× 213 1.2× 42 0.4× 263 2.4× 35 772
Michael P. Massett 514 1.5× 247 1.3× 39 0.2× 77 0.6× 312 2.8× 41 976
Robin Parisotto 168 0.5× 95 0.5× 182 1.0× 148 1.2× 88 0.8× 18 1.0k
Seiji Aruga 89 0.3× 278 1.5× 146 0.8× 444 3.7× 116 1.0× 20 1.0k

Countries citing papers authored by Danielle J. McCullough

Since Specialization
Citations

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

Fields of papers citing papers by Danielle J. McCullough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle J. McCullough

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle J. McCullough. A scholar is included among the top collaborators of Danielle J. McCullough 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 Danielle J. McCullough. Danielle J. McCullough 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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