Shaquria Adderley

1.1k citations
23 papers · 843 indexed · h-index 16

Shaquria Adderley

22 papers receiving 829 citations

Peers

Shaquria Adderley
Comparison fields: 5 of 96
  • Physiology 97
  • Physiology 316
  • Endocrine and Autonomic Systems 81
  • Oncology 167
  • Cell Biology 79
Replace Fabiola A. Sánchez with:
Fabiola A. Sánchez United States
Michael Cutaia United States
Dursun Gündüz Germany
Susan I. Ramos United States
Nana Burns United States
Jinfeng Zhu China
Roberta Buono Italy
Burcin Özüyaman Germany
Samantha Moore United Kingdom
Craig F. Plato United States
Shaquria Adderley relative to Fabiola A. Sánchez United States Fabiola A. Sánchez's profile →
Citations per field
00.5×2.8×
Fabiola A. Sánchez · 1×
Citations per year

Countries citing papers authored by Shaquria Adderley

Since Specialization
Citations

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

Fields of papers citing papers by Shaquria Adderley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 22 scholars most cited alongside Shaquria Adderley, 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 Shaquria Adderley Line = papers co-authored together Shaquria Adderley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20231
3 201916
4 2018253
5 201621
6 201628
7 20162
8 201515
9 201537
10 201214
11 201039
12 20100
13 201011
14 201027
15 200925
16 200922
17 200938
18 200915
19 200849
20 200846

About Shaquria Adderley

Shaquria Adderley is a scholar working on Physiology, Neurology, Immunology and Allergy, Cell Biology and Pharmacology, having authored 23 papers that have together received 843 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Phosphodiesterase function and regulation (7 papers), Nitric Oxide and Endothelin Effects (6 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Barrier Structure and Function Studies (3 papers), Lymphatic System and Diseases (2 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers). The work is most often cited by research in Physiology (97 citations), Physiology (316 citations), Endocrine and Autonomic Systems (81 citations), Oncology (167 citations) and Cell Biology (79 citations). Shaquria Adderley has collaborated with scholars based in United States, Russia and Spain. Frequent co-authors include Jerome W. Breslin, Alan H. Stephenson, Elizabeth Bowles, Meera Sridharan, Mary L. Ellsworth, Joshua P. Scallan, Richard S. Sweat, Randy S. Sprague, Walter L. Murfee and Ying Yang. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Microcirculation, Pharmacological Reports, The FASEB Journal and Comprehensive physiology.

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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