Daniel McCormick

7.8k total citations
227 papers, 6.4k citations indexed

About

Daniel McCormick is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel McCormick has authored 227 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 44 papers in Cellular and Molecular Neuroscience and 33 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel McCormick's work include Receptor Mechanisms and Signaling (27 papers), Neuropeptides and Animal Physiology (25 papers) and Monoclonal and Polyclonal Antibodies Research (22 papers). Daniel McCormick is often cited by papers focused on Receptor Mechanisms and Signaling (27 papers), Neuropeptides and Animal Physiology (25 papers) and Monoclonal and Polyclonal Antibodies Research (22 papers). Daniel McCormick collaborates with scholars based in United States, New Zealand and United Kingdom. Daniel McCormick's co-authors include Robert J. Ryan, Benjamin J. Madden, Elliott Richelson, M. Cristine Charlesworth, M. Zouhair Atassi, Abdul H. Fauq, Henry T. Keutmann, David Budgett, Bernadette Cusack and Robert P. Milius and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Daniel McCormick

227 papers receiving 6.2k citations

Peers

Daniel McCormick
Comparison fields: 5 of 145
  • Molecular Biology 3.3k
  • Cellular and Molecular Neuroscience 925
  • Cardiology and Cardiovascular Medicine 732
  • Reproductive Medicine 628
  • Immunology 618
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Citations per field, relative to Daniel McCormick
Daniel McCormick · 1×
Citations per year, relative to Daniel McCormick
Daniel McCormick · 1×

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-authorship network of co-authors of Daniel McCormick

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel McCormick. A scholar is included among the top collaborators of Daniel McCormick 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 McCormick. Daniel McCormick 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
# Work Indexed citations
1 1
2 8
3 11
4 9
5 75
6 10
7 1
8 1
9 21
10 5
11 145
12 12
13 22
14 64
15 13
16 16
17
Hemoglobin Old Dominion/Burton-upon-Trent, beta 143 (H21) His-->Tyr, codon 143 CAC-->TAC--a variant with altered oxygen affinity that compromises measurement of glycated hemoglobin in diabetes mellitus: structure, function, and DNA sequence.
15
18 21
19 7
20
Studies on the secretion, metabolism and action of atrial natriuretic peptide in man.
65

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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