Debra D’Angelo

2.3k citations
38 papers · 1.8k · h-index 17

Impact in

Papers in

Debra D’Angelo

35 papers receiving 1.8k citations

Peers

Debra D’Angelo
Comparison fields: 5 of 84
  • Cognitive Neuroscience 679
  • Psychiatry and Mental health 376
  • Genetics 493
  • Internal Medicine 27
  • Clinical Psychology 76
Replace Virginia Chun Nei Wong with:
Virginia Chun Nei Wong Hong Kong
Zili David Chu United States
Samer Melhem United States
Anneli Kolk Estonia
Susan Byrne Ireland
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Aaron W. Grossman United States
Margaret B. Pulsifer United States
Andrew S. Nencka United States
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Citations per field
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Citations per year

Countries citing papers authored by Debra D’Angelo

Since Specialization
Citations

This map shows the geographic impact of Debra 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 Debra 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 Debra D’Angelo more than expected).

Fields of papers citing papers by Debra D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009418
2 2014203
3 2015190
4 2016152
5 2009133
6 2012128
7 201176
8 201063
9 202063
10 201858
11 201649
12 202046
13 200541
14 201729
15 202024
16 201918
17 202318
18 201417
19 201814
20 201913

About Debra D’Angelo

Debra D’Angelo is a scholar working on Genetics, Psychiatry and Mental health, Cognitive Neuroscience, Surgery and Endocrinology, Diabetes and Metabolism, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (6 papers), Schizophrenia research and treatment (4 papers), Surgical Simulation and Training (3 papers), Functional Brain Connectivity Studies (3 papers), Mechanical Circulatory Support Devices (2 papers), COVID-19 Clinical Research Studies (2 papers), Voice and Speech Disorders (2 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (679 citations), Psychiatry and Mental health (376 citations), Genetics (493 citations), Internal Medicine (27 citations) and Clinical Psychology (76 citations). Debra D’Angelo has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Matthew J. Hoptman, Daniel C. Javitt, Michael Peter Milham, Cristina J. Mauro, Pamela D. Butler, Xi‐Nian Zuo, Qixuan Chen, Karen A. Nolan, Wendy K. Chung and LeeAnne Green Snyder. Their work appears in journals such as Schizophrenia Research, Schizophrenia Bulletin, Journal of Thrombosis and Thrombolysis, Academic Radiology and Obstetrical & Gynecological Survey.

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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