Gerard D’Angelo

551 citations
13 papers · 477 · h-index 11

Impact in

Papers in

    • Nitric Oxide and Endothelin Effects 6
    • Thermoregulation and physiological responses 2
    • Diet and metabolism studies 2
    • Adipose Tissue and Metabolism 2
    • Heart Rate Variability and Autonomic Control 4
    • Renin-Angiotensin System Studies 2

Gerard D’Angelo

13 papers receiving 472 citations

Peers

Gerard D’Angelo
Comparison fields: 5 of 80
  • Behavioral Neuroscience 41
  • Endocrinology, Diabetes and Metabolism 123
  • Physiology 177
  • Endocrine and Autonomic Systems 39
  • Cardiology and Cardiovascular Medicine 117
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Citations per field
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Citations per year

Countries citing papers authored by Gerard D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Gerard D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard D’Angelo. 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 Gerard D’Angelo. The network helps show where Gerard D’Angelo may publish in the future.

Co-authors

The 25 scholars most cited alongside Gerard D’Angelo, 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 Gerard D’Angelo Line = papers co-authored together Gerard D’Angelo links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2005120
2 201367
3 199963
4 200943
5 200235
6 200635
7 201034
8 201027
9 200518
10 200417
11 201515
12 20162
13 20061

About Gerard D’Angelo

Gerard D’Angelo is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Behavioral Neuroscience, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 477 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (6 papers), Stress Responses and Cortisol (6 papers), Heart Rate Variability and Autonomic Control (4 papers), Diet, Metabolism, and Disease (2 papers), Thermoregulation and physiological responses (2 papers), Renin-Angiotensin System Studies (2 papers), Diet and metabolism studies (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Behavioral Neuroscience (41 citations), Endocrinology, Diabetes and Metabolism (123 citations), Physiology (177 citations), Endocrine and Autonomic Systems (39 citations) and Cardiology and Cardiovascular Medicine (117 citations). Gerard D’Angelo has collaborated with scholars based in United States, France and India. Frequent co-authors include David M. Pollock, Jennifer S. Pollock, David W. Stepp, Ahmed A. Elmarakby, Leonard P. Adam, Analia S. Loria, John Wrangle, Philip Graceffa, Jennifer C. Sullivan and Erika I. Boesen. Their work appears in journals such as Hypertension, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Biological Chemistry, Journal of Medicinal Chemistry and The FASEB Journal.

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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