P. A. King

33 papers receiving 895 citations

Peers

P. A. King
Comparison fields: 5 of 105
  • Physiology 338
  • Cell Biology 195
  • Molecular Medicine 38
  • Biochemistry 49
  • Complementary and alternative medicine 51
Replace Kênia Pedrosa Nunes with:
Kênia Pedrosa Nunes United States
M. Mochizuki Japan
Gabriëlla A. M. Ten Have United States
Jingai Zhu China
Yongzhi Li China
Julie A. Schmidt United Kingdom
Maitraya Patel United States
G Tempel United States
Arturo Roca-Rivada Spain
Victoria Drake United States
P. A. King relative to Kênia Pedrosa Nunes United States Kênia Pedrosa Nunes's profile →
Citations per field
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Kênia Pedrosa Nunes · 1×
Citations per year

Countries citing papers authored by P. A. King

Since Specialization
Citations

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

Fields of papers citing papers by P. A. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. A. King. 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 P. A. King. The network helps show where P. A. King may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992152
2 1990118
3 199086
4 198972
5 199462
6 200952
7 200945
8 199838
9 199337
10 199336
11 201625
12 198321
13 199521
14 198919
15 199114
16 199114
17 201412
18 198710
19 199710
20 19949

About P. A. King

P. A. King is a scholar working on Molecular Biology, Physiology, Cell Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 34 papers that have together received 925 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Ion channel regulation and function (4 papers), Muscle metabolism and nutrition (3 papers), Inhalation and Respiratory Drug Delivery (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Neonatal Health and Biochemistry (2 papers) and Syphilis Diagnosis and Treatment (2 papers). The work is most often cited by research in Physiology (338 citations), Cell Biology (195 citations), Molecular Medicine (38 citations), Biochemistry (49 citations) and Complementary and alternative medicine (51 citations). P. A. King has collaborated with scholars based in United States, Hong Kong and China. Frequent co-authors include Edward S. Horton, E. D. Horton, Michael F. Hirshman, Laurie J. Goodyear, Michael N. Dudley, David C. Griffith, Olga Lomovskaya, Robert B. Gunn, Kenneth B. Storey and J. J. Betts. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, PLoS ONE, American Journal of Physiology-Cell Physiology, American Journal of Physiology-Endocrinology and Metabolism and Biochemical and Biophysical Research Communications.

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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