Daniel E. McGinn

23 papers receiving 153 citations

Peers

Daniel E. McGinn
Comparison fields: 5 of 60
  • Epidemiology 60
  • Molecular Biology 98
  • Developmental Biology 3
  • Genetics 35
  • Pulmonary and Respiratory Medicine 39
Replace Giang Huong Nguyen with:
Giang Huong Nguyen Vietnam
Kevin D. Josephson United States
Marta Cerutti Italy
Barbara H. W. Molmans Netherlands
Marie Claire Roderick United States
Arthur Gustavo Fernandes Brazil
Stacey Hume Canada
Diana M. Toledo United States
Annamaria Perri Italy
Kelsey Grinde United States
Daniel E. McGinn relative to Giang Huong Nguyen Vietnam Giang Huong Nguyen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel E. McGinn

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. McGinn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel E. McGinn, 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 E. McGinn Line = papers co-authored together Daniel E. McGinn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201821
2 202018
3 202116
4 202012
5 202112
6
Getting back on track.
200612
7 20208
8 20217
9 20187
10 20237
11 20236
12 20205
13 20215
14 20224
15
Resisting the Lure of Short-Termism. (cover story)
20163
16
Economies on empty.
20033
17 20203
18
The numbers in Jeff Bezos's head
20142
19 20222
20
Guilt free TV.
20022

About Daniel E. McGinn

Daniel E. McGinn is a scholar working on Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine, Genetics and Cognitive Neuroscience, having authored 28 papers that have together received 160 indexed citations. Recurring topics across this work include Congenital heart defects research (18 papers), Congenital Heart Disease Studies (13 papers), Coronary Artery Anomalies (9 papers), Genetics and Neurodevelopmental Disorders (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Autism Spectrum Disorder Research (2 papers), RNA modifications and cancer (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Epidemiology (60 citations), Molecular Biology (98 citations), Developmental Biology (3 citations), Genetics (35 citations) and Pulmonary and Respiratory Medicine (39 citations). Daniel E. McGinn has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include T. Blaine Crowley, Donna M. McDonald‐McGinn, Elaine H. Zackai, Beverly S. Emanuel, Alice Bailey, Kathleen E. Sullivan, Michele P. Lambert, Raquel E. Gur, Jennifer L. Cohen and Jennifer Heimall. Their work appears in journals such as Journal of Clinical Immunology, Harvard business review, Scientific Reports, Journal of Intellectual Disability Research and Journal of Allergy and Clinical Immunology.

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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