Pamela Lear

857 citations
23 papers · 666 · h-index 15

Impact in

Papers in

Pamela Lear

23 papers receiving 650 citations

Peers

Pamela Lear
Comparison fields: 5 of 88
  • Physiology 100
  • Endocrine and Autonomic Systems 107
  • Sensory Systems 41
  • Cardiology and Cardiovascular Medicine 126
  • Physiology 107
Replace Chiemi Sato with:
Chiemi Sato Japan
Gabriela Placoná Diniz Brazil
John M. Hartney United States
Mark W. Moody United States
Bin-Xian Zhang United States
Magdalena A. Zabielska-Kaczorowska Poland
Yu-Chen Wang United States
Mariona Aulí Spain
Masami Kishi Japan
John E. Cuffe United Kingdom
Pamela Lear relative to Chiemi Sato Japan Chiemi Sato's profile →
Citations per field
00.5×4.1×
Chiemi Sato · 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011110
2 201078
3 201669
4 201264
5 201253
6 201242
7 201235
8 201426
9 201424
10 201224
11 201019
12 201419
13 201518
14 199517
15 201914
16 201914
17 20008
18 20138
19 20166
20 20045

About Pamela Lear

Pamela Lear is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Physiology, Physiology and Surgery, having authored 23 papers that have together received 666 indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (4 papers), Adipose Tissue and Metabolism (4 papers), Regulation of Appetite and Obesity (3 papers), Pancreatic function and diabetes (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Congenital heart defects research (2 papers), Circadian rhythm and melatonin (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Physiology (100 citations), Endocrine and Autonomic Systems (107 citations), Sensory Systems (41 citations), Cardiology and Cardiovascular Medicine (126 citations) and Physiology (107 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, Ana Mosquera‐Leal, Sandra Feijóo‐Bandín, Diego Rodríguez‐Penas, Vanessa García‐Rúa and Javier Conde. Their work appears in journals such as International Journal of Cardiology, Endocrinology, Hormone and Metabolic Research, Obesity and Journal of Biosciences.

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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