Pamela Lear

22 papers receiving 622 citations

Peers

Pamela Lear
Comparison fields: 5 of 84
  • Physiology 98
  • Endocrine and Autonomic Systems 110
  • Sensory Systems 38
  • Cardiology and Cardiovascular Medicine 154
  • Physiology 131
Replace Gabriela Placoná Diniz with:
Gabriela Placoná Diniz Brazil
Sarah E. Abbey‐Hosch United States
Lo Lai United States
Mark W. Moody United States
Magdalena A. Zabielska-Kaczorowska Poland
John M. Hartney United States
Bin-Xian Zhang United States
Bernard Foglia Switzerland
Mark H. Menzen Netherlands
Mariona Aulí Spain
Pamela Lear relative to Gabriela Placoná Diniz Brazil Gabriela Placoná Diniz's profile →
Citations per field
00.5×6.3×
Gabriela Placoná Diniz · 1×
Citations per year

Countries citing papers authored by Pamela Lear

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Lear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011107
2 201077
3 201667
4 201257
5 201250
6 201237
7 201234
8 201426
9 201223
10 201423
11 201419
12 201019
13 201517
14 199514
15 201913
16 201913
17 20008
18 20138
19 20166
20 20045

About Pamela Lear

Pamela Lear is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Surgery and Endocrine and Autonomic Systems, having authored 22 papers that have together received 632 indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (5 papers), Pancreatic function and diabetes (4 papers), Adipose Tissue and Metabolism (4 papers), Acute Myocardial Infarction Research (3 papers), Regulation of Appetite and Obesity (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Atrial Fibrillation Management and Outcomes (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Physiology (98 citations), Endocrine and Autonomic Systems (110 citations), Sensory Systems (38 citations), Cardiology and Cardiovascular Medicine (154 citations) and Physiology (131 citations). Pamela Lear has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Carlos Diéguez, Francisca Lago, José Ramón González‐Juanatey, Oreste Gualillo, John Parrington, Vanessa García‐Rúa, Diego Rodríguez‐Penas, Sandra Feijóo‐Bandín, Ana Mosquera‐Leal and Giuseppe Bianco. Their work appears in journals such as Endocrinology, International Journal of Cardiology, The International Journal of Developmental Biology, Annals of the Rheumatic Diseases and Current Drug Metabolism.

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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