Daniel McCormick

231 papers receiving 6.4k citations

Peers

Daniel McCormick
Comparison fields: 5 of 143
  • Reproductive Medicine 678
  • Cellular and Molecular Neuroscience 968
  • Molecular Biology 3.4k
  • Endocrinology, Diabetes and Metabolism 536
  • Cell Biology 508
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Claude Lazure Canada
David Puett United States
Nadia Messaddeq France
Pierre J. Courtoy Belgium
Wojciech Gorczyca United States
Eileen D. Adamson United States
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Citations per year

Countries citing papers authored by Daniel McCormick

Since Specialization
Citations

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

Fields of papers citing papers by Daniel McCormick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel McCormick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel McCormick Line = papers co-authored together Daniel McCormick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 233 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993252
2 1997202
3 1988192
4 1989158
5 2008156
6 1987147
7 1992146
8 1989136
9 1990130
10 1997128
11 2005119
12 2001112
13 1997107
14 2014105
15 1999104
16 198798
17 201397
18 201295
19 198588
20 198484

About Daniel McCormick

Daniel McCormick is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering, having authored 233 papers that have together received 6.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (26 papers), Neuropeptides and Animal Physiology (25 papers), Monoclonal and Polyclonal Antibodies Research (23 papers), Wireless Power Transfer Systems (19 papers), Hypothalamic control of reproductive hormones (17 papers), Chemical Synthesis and Analysis (15 papers), Energy Harvesting in Wireless Networks (14 papers) and T-cell and B-cell Immunology (12 papers). The work is most often cited by research in Reproductive Medicine (678 citations), Cellular and Molecular Neuroscience (968 citations), Molecular Biology (3.4k citations), Endocrinology, Diabetes and Metabolism (536 citations) and Cell Biology (508 citations). Daniel McCormick has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Benjamin J. Madden, Robert J. Ryan, Elliott Richelson, M. Cristine Charlesworth, M. Zouhair Atassi, Abdul H. Fauq, Henry T. Keutmann, David Budgett, Bernadette Cusack and Robert P. Milius. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Endocrinology, Brain Research and JACC: Cardiovascular Interventions.

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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